Search Results

Search found 76755 results on 3071 pages for 'google data'.

Page 32/3071 | < Previous Page | 28 29 30 31 32 33 34 35 36 37 38 39  | Next Page >

  • Legal Issue: Remove/Hide links on Google Login page

    - by Rowell
    For the background: I'm developing a device application which offers connection to Google Drive. My end-users will need to login to their Google Account and authorize my application to access their Google Drive. I'm using OAuth 2.0 to do this. But my concern is that I don't want users to navigate away from my application using the links on the Google Login page. Basically, I don't want them to use my application to browse the internet. Question: Will I violate any terms of service/usage if I hide or change the href the links using GreaseMonkey or TamperMonkey? The changes will only be on the client side and I won't alter any processing at all. I already checked https://developers.google.com/terms/ but I found no item related to modifying the pages on client side. Thanks in advance.

    Read the article

  • Big GRC: Turning Data into Actionable GRC Intelligence

    - by Jenna Danko
    While it’s no longer headline news that Governments have carried out large scale data-mining programmes aimed at terrorism detection and identifying other patterns of interest across a wide range of digital data sources, the debate over the ethics and justification over this action, will clearly continue for some time to come. What is becoming clear is that these programmes are a framework for the collation and aggregation of massive amounts of unstructured data and from this, the creation of actionable intelligence from analyses that allowed the analysts to explore and extract a variety of patterns and then direct resources. This data included audio and video chats, phone calls, photographs, e-mails, documents, internet searches, social media posts and mobile phone logs and connections. Although Governance, Risk and Compliance (GRC) professionals are not looking at the implementation of such programmes, there are many similar GRC “Big data” challenges to be faced and potential lessons to be learned from these high profile government programmes that can be applied a lot closer to home. For example, how can GRC professionals collect, manage and analyze an enormous and disparate volume of data to create and manage their own actionable intelligence covering hidden signs and patterns of criminal activity, the early or retrospective, violation of regulations/laws/corporate policies and procedures, emerging risks and weakening controls etc. Not exactly the stuff of James Bond to be sure, but it is certainly more applicable to most GRC professional’s day to day challenges. So what is Big Data and how can it benefit the GRC process? Although it often varies, the definition of Big Data largely refers to the following types of data: Traditional Enterprise Data – includes customer information from CRM systems, transactional ERP data, web store transactions, and general ledger data. Machine-Generated /Sensor Data – includes Call Detail Records (“CDR”), weblogs and trading systems data. Social Data – includes customer feedback streams, micro-blogging sites like Twitter, and social media platforms like Facebook. The McKinsey Global Institute estimates that data volume is growing 40% per year, and will grow 44x between 2009 and 2020. But while it’s often the most visible parameter, volume of data is not the only characteristic that matters. In fact, according to sources such as Forrester there are four key characteristics that define big data: Volume. Machine-generated data is produced in much larger quantities than non-traditional data. This is all the data generated by IT systems that power the enterprise. This includes live data from packaged and custom applications – for example, app servers, Web servers, databases, networks, virtual machines, telecom equipment, and much more. Velocity. Social media data streams – while not as massive as machine-generated data – produce a large influx of opinions and relationships valuable to customer relationship management as well as offering early insight into potential reputational risk issues. Even at 140 characters per tweet, the high velocity (or frequency) of Twitter data ensures large volumes (over 8 TB per day) need to be managed. Variety. Traditional data formats tend to be relatively well defined by a data schema and change slowly. In contrast, non-traditional data formats exhibit a dizzying rate of change. Without question, all GRC professionals work in a dynamic environment and as new services, new products, new business lines are added or new marketing campaigns executed for example, new data types are needed to capture the resultant information.  Value. The economic value of data varies significantly. Typically, there is good information hidden amongst a larger body of non-traditional data that GRC professionals can use to add real value to the organisation; the greater challenge is identifying what is valuable and then transforming and extracting that data for analysis and action. For example, customer service calls and emails have millions of useful data points and have long been a source of information to GRC professionals. Those calls and emails are critical in helping GRC professionals better identify hidden patterns and implement new policies that can reduce the amount of customer complaints.   Now on a scale and depth far beyond those in place today, all that unstructured call and email data can be captured, stored and analyzed to reveal the reasons for the contact, perhaps with the aggregated customer results cross referenced against what is being said about the organization or a similar peer organization on social media. The organization can then take positive actions, communicating to the market in advance of issues reaching the press, strengthening controls, adjusting risk profiles, changing policy and procedures and completely minimizing, if not eliminating, complaints and compensation for that specific reason in the future. In this one example of many similar ones, the GRC team(s) has demonstrated real and tangible business value. Big Challenges - Big Opportunities As pointed out by recent Forrester research, high performing companies (those that are growing 15% or more year-on-year compared to their peers) are taking a selective approach to investing in Big Data.  "Tomorrow's winners understand this, and they are making selective investments aimed at specific opportunities with tangible benefits where big data offers a more economical solution to meet a need." (Forrsights Strategy Spotlight: Business Intelligence and Big Data, Q4 2012) As pointed out earlier, with the ever increasing volume of regulatory demands and fines for getting it wrong, limited resource availability and out of date or inadequate GRC systems all contributing to a higher cost of compliance and/or higher risk profile than desired – a big data investment in GRC clearly falls into this category. However, to make the most of big data organizations must evolve both their business and IT procedures, processes, people and infrastructures to handle these new high-volume, high-velocity, high-variety sources of data and be able integrate them with the pre-existing company data to be analyzed. GRC big data clearly allows the organization access to and management over a huge amount of often very sensitive information that although can help create a more risk intelligent organization, also presents numerous data governance challenges, including regulatory compliance and information security. In addition to client and regulatory demands over better information security and data protection the sheer amount of information organizations deal with the need to quickly access, classify, protect and manage that information can quickly become a key issue  from a legal, as well as technical or operational standpoint. However, by making information governance processes a bigger part of everyday operations, organizations can make sure data remains readily available and protected. The Right GRC & Big Data Partnership Becomes Key  The "getting it right first time" mantra used in so many companies remains essential for any GRC team that is sponsoring, helping kick start, or even overseeing a big data project. To make a big data GRC initiative work and get the desired value, partnerships with companies, who have a long history of success in delivering successful GRC solutions as well as being at the very forefront of technology innovation, becomes key. Clearly solutions can be built in-house more cheaply than through vendor, but as has been proven time and time again, when it comes to self built solutions covering AML and Fraud for example, few have able to scale or adapt appropriately to meet the changing regulations or challenges that the GRC teams face on a daily basis. This has led to the creation of GRC silo’s that are causing so many headaches today. The solutions that stand out and should be explored are the ones that can seamlessly merge the traditional world of well-known data, analytics and visualization with the new world of seemingly innumerable data sources, utilizing Big Data technologies to generate new GRC insights right across the enterprise.Ultimately, Big Data is here to stay, and organizations that embrace its potential and outline a viable strategy, as well as understand and build a solid analytical foundation, will be the ones that are well positioned to make the most of it. A Blueprint and Roadmap Service for Big Data Big data adoption is first and foremost a business decision. As such it is essential that your partner can align your strategies, goals, and objectives with an architecture vision and roadmap to accelerate adoption of big data for your environment, as well as establish practical, effective governance that will maintain a well managed environment going forward. Key Activities: While your initiatives will clearly vary, there are some generic starting points the team and organization will need to complete: Clearly define your drivers, strategies, goals, objectives and requirements as it relates to big data Conduct a big data readiness and Information Architecture maturity assessment Develop future state big data architecture, including views across all relevant architecture domains; business, applications, information, and technology Provide initial guidance on big data candidate selection for migrations or implementation Develop a strategic roadmap and implementation plan that reflects a prioritization of initiatives based on business impact and technology dependency, and an incremental integration approach for evolving your current state to the target future state in a manner that represents the least amount of risk and impact of change on the business Provide recommendations for practical, effective Data Governance, Data Quality Management, and Information Lifecycle Management to maintain a well-managed environment Conduct an executive workshop with recommendations and next steps There is little debate that managing risk and data are the two biggest obstacles encountered by financial institutions.  Big data is here to stay and risk management certainly is not going anywhere, and ultimately financial services industry organizations that embrace its potential and outline a viable strategy, as well as understand and build a solid analytical foundation, will be best positioned to make the most of it. Matthew Long is a Financial Crime Specialist for Oracle Financial Services. He can be reached at matthew.long AT oracle.com.

    Read the article

  • Introducing Data Annotations Extensions

    - by srkirkland
    Validation of user input is integral to building a modern web application, and ASP.NET MVC offers us a way to enforce business rules on both the client and server using Model Validation.  The recent release of ASP.NET MVC 3 has improved these offerings on the client side by introducing an unobtrusive validation library built on top of jquery.validation.  Out of the box MVC comes with support for Data Annotations (that is, System.ComponentModel.DataAnnotations) and can be extended to support other frameworks.  Data Annotations Validation is becoming more popular and is being baked in to many other Microsoft offerings, including Entity Framework, though with MVC it only contains four validators: Range, Required, StringLength and Regular Expression.  The Data Annotations Extensions project attempts to augment these validators with additional attributes while maintaining the clean integration Data Annotations provides. A Quick Word About Data Annotations Extensions The Data Annotations Extensions project can be found at http://dataannotationsextensions.org/, and currently provides 11 additional validation attributes (ex: Email, EqualTo, Min/Max) on top of Data Annotations’ original 4.  You can find a current list of the validation attributes on the afore mentioned website. The core library provides server-side validation attributes that can be used in any .NET 4.0 project (no MVC dependency). There is also an easily pluggable client-side validation library which can be used in ASP.NET MVC 3 projects using unobtrusive jquery validation (only MVC3 included javascript files are required). On to the Preview Let’s say you had the following “Customer” domain model (or view model, depending on your project structure) in an MVC 3 project: public class Customer { public string Email { get; set; } public int Age { get; set; } public string ProfilePictureLocation { get; set; } } .csharpcode, .csharpcode pre { font-size: small; color: black; font-family: consolas, "Courier New", courier, monospace; background-color: #ffffff; /*white-space: pre;*/ } .csharpcode pre { margin: 0em; } .csharpcode .rem { color: #008000; } .csharpcode .kwrd { color: #0000ff; } .csharpcode .str { color: #006080; } .csharpcode .op { color: #0000c0; } .csharpcode .preproc { color: #cc6633; } .csharpcode .asp { background-color: #ffff00; } .csharpcode .html { color: #800000; } .csharpcode .attr { color: #ff0000; } .csharpcode .alt { background-color: #f4f4f4; width: 100%; margin: 0em; } .csharpcode .lnum { color: #606060; } When it comes time to create/edit this Customer, you will probably have a CustomerController and a simple form that just uses one of the Html.EditorFor() methods that the ASP.NET MVC tooling generates for you (or you can write yourself).  It should look something like this: With no validation, the customer can enter nonsense for an email address, and then can even report their age as a negative number!  With the built-in Data Annotations validation, I could do a bit better by adding a Range to the age, adding a RegularExpression for email (yuck!), and adding some required attributes.  However, I’d still be able to report my age as 10.75 years old, and my profile picture could still be any string.  Let’s use Data Annotations along with this project, Data Annotations Extensions, and see what we can get: public class Customer { [Email] [Required] public string Email { get; set; }   [Integer] [Min(1, ErrorMessage="Unless you are benjamin button you are lying.")] [Required] public int Age { get; set; }   [FileExtensions("png|jpg|jpeg|gif")] public string ProfilePictureLocation { get; set; } } .csharpcode, .csharpcode pre { font-size: small; color: black; font-family: consolas, "Courier New", courier, monospace; background-color: #ffffff; /*white-space: pre;*/ } .csharpcode pre { margin: 0em; } .csharpcode .rem { color: #008000; } .csharpcode .kwrd { color: #0000ff; } .csharpcode .str { color: #006080; } .csharpcode .op { color: #0000c0; } .csharpcode .preproc { color: #cc6633; } .csharpcode .asp { background-color: #ffff00; } .csharpcode .html { color: #800000; } .csharpcode .attr { color: #ff0000; } .csharpcode .alt { background-color: #f4f4f4; width: 100%; margin: 0em; } .csharpcode .lnum { color: #606060; } Now let’s try to put in some invalid values and see what happens: That is very nice validation, all done on the client side (will also be validated on the server).  Also, the Customer class validation attributes are very easy to read and understand. Another bonus: Since Data Annotations Extensions can integrate with MVC 3’s unobtrusive validation, no additional scripts are required! Now that we’ve seen our target, let’s take a look at how to get there within a new MVC 3 project. Adding Data Annotations Extensions To Your Project First we will File->New Project and create an ASP.NET MVC 3 project.  I am going to use Razor for these examples, but any view engine can be used in practice.  Now go into the NuGet Extension Manager (right click on references and select add Library Package Reference) and search for “DataAnnotationsExtensions.”  You should see the following two packages: The first package is for server-side validation scenarios, but since we are using MVC 3 and would like comprehensive sever and client validation support, click on the DataAnnotationsExtensions.MVC3 project and then click Install.  This will install the Data Annotations Extensions server and client validation DLLs along with David Ebbo’s web activator (which enables the validation attributes to be registered with MVC 3). Now that Data Annotations Extensions is installed you have all you need to start doing advanced model validation.  If you are already using Data Annotations in your project, just making use of the additional validation attributes will provide client and server validation automatically.  However, assuming you are starting with a blank project I’ll walk you through setting up a controller and model to test with. Creating Your Model In the Models folder, create a new User.cs file with a User class that you can use as a model.  To start with, I’ll use the following class: public class User { public string Email { get; set; } public string Password { get; set; } public string PasswordConfirm { get; set; } public string HomePage { get; set; } public int Age { get; set; } } Next, create a simple controller with at least a Create method, and then a matching Create view (note, you can do all of this via the MVC built-in tooling).  Your files will look something like this: UserController.cs: public class UserController : Controller { public ActionResult Create() { return View(new User()); }   [HttpPost] public ActionResult Create(User user) { if (!ModelState.IsValid) { return View(user); }   return Content("User valid!"); } } .csharpcode, .csharpcode pre { font-size: small; color: black; font-family: consolas, "Courier New", courier, monospace; background-color: #ffffff; /*white-space: pre;*/ } .csharpcode pre { margin: 0em; } .csharpcode .rem { color: #008000; } .csharpcode .kwrd { color: #0000ff; } .csharpcode .str { color: #006080; } .csharpcode .op { color: #0000c0; } .csharpcode .preproc { color: #cc6633; } .csharpcode .asp { background-color: #ffff00; } .csharpcode .html { color: #800000; } .csharpcode .attr { color: #ff0000; } .csharpcode .alt { background-color: #f4f4f4; width: 100%; margin: 0em; } .csharpcode .lnum { color: #606060; } Create.cshtml: @model NuGetValidationTester.Models.User   @{ ViewBag.Title = "Create"; }   <h2>Create</h2>   <script src="@Url.Content("~/Scripts/jquery.validate.min.js")" type="text/javascript"></script> <script src="@Url.Content("~/Scripts/jquery.validate.unobtrusive.min.js")" type="text/javascript"></script>   @using (Html.BeginForm()) { @Html.ValidationSummary(true) <fieldset> <legend>User</legend> @Html.EditorForModel() <p> <input type="submit" value="Create" /> </p> </fieldset> } .csharpcode, .csharpcode pre { font-size: small; color: black; font-family: consolas, "Courier New", courier, monospace; background-color: #ffffff; /*white-space: pre;*/ } .csharpcode pre { margin: 0em; } .csharpcode .rem { color: #008000; } .csharpcode .kwrd { color: #0000ff; } .csharpcode .str { color: #006080; } .csharpcode .op { color: #0000c0; } .csharpcode .preproc { color: #cc6633; } .csharpcode .asp { background-color: #ffff00; } .csharpcode .html { color: #800000; } .csharpcode .attr { color: #ff0000; } .csharpcode .alt { background-color: #f4f4f4; width: 100%; margin: 0em; } .csharpcode .lnum { color: #606060; } In the Create.cshtml view, note that we are referencing jquery validation and jquery unobtrusive (jquery is referenced in the layout page).  These MVC 3 included scripts are the only ones you need to enjoy both the basic Data Annotations validation as well as the validation additions available in Data Annotations Extensions.  These references are added by default when you use the MVC 3 “Add View” dialog on a modification template type. Now when we go to /User/Create we should see a form for editing a User Since we haven’t yet added any validation attributes, this form is valid as shown (including no password, email and an age of 0).  With the built-in Data Annotations attributes we can make some of the fields required, and we could use a range validator of maybe 1 to 110 on Age (of course we don’t want to leave out supercentenarians) but let’s go further and validate our input comprehensively using Data Annotations Extensions.  The new and improved User.cs model class. { [Required] [Email] public string Email { get; set; }   [Required] public string Password { get; set; }   [Required] [EqualTo("Password")] public string PasswordConfirm { get; set; }   [Url] public string HomePage { get; set; }   [Integer] [Min(1)] public int Age { get; set; } } .csharpcode, .csharpcode pre { font-size: small; color: black; font-family: consolas, "Courier New", courier, monospace; background-color: #ffffff; /*white-space: pre;*/ } .csharpcode pre { margin: 0em; } .csharpcode .rem { color: #008000; } .csharpcode .kwrd { color: #0000ff; } .csharpcode .str { color: #006080; } .csharpcode .op { color: #0000c0; } .csharpcode .preproc { color: #cc6633; } .csharpcode .asp { background-color: #ffff00; } .csharpcode .html { color: #800000; } .csharpcode .attr { color: #ff0000; } .csharpcode .alt { background-color: #f4f4f4; width: 100%; margin: 0em; } .csharpcode .lnum { color: #606060; } Now let’s re-run our form and try to use some invalid values: All of the validation errors you see above occurred on the client, without ever even hitting submit.  The validation is also checked on the server, which is a good practice since client validation is easily bypassed. That’s all you need to do to start a new project and include Data Annotations Extensions, and of course you can integrate it into an existing project just as easily. Nitpickers Corner ASP.NET MVC 3 futures defines four new data annotations attributes which this project has as well: CreditCard, Email, Url and EqualTo.  Unfortunately referencing MVC 3 futures necessitates taking an dependency on MVC 3 in your model layer, which may be unadvisable in a multi-tiered project.  Data Annotations Extensions keeps the server and client side libraries separate so using the project’s validation attributes don’t require you to take any additional dependencies in your model layer which still allowing for the rich client validation experience if you are using MVC 3. Custom Error Message and Globalization: Since the Data Annotations Extensions are build on top of Data Annotations, you have the ability to define your own static error messages and even to use resource files for very customizable error messages. Available Validators: Please see the project site at http://dataannotationsextensions.org/ for an up-to-date list of the new validators included in this project.  As of this post, the following validators are available: CreditCard Date Digits Email EqualTo FileExtensions Integer Max Min Numeric Url Conclusion Hopefully I’ve illustrated how easy it is to add server and client validation to your MVC 3 projects, and how to easily you can extend the available validation options to meet real world needs. The Data Annotations Extensions project is fully open source under the BSD license.  Any feedback would be greatly appreciated.  More information than you require, along with links to the source code, is available at http://dataannotationsextensions.org/. Enjoy!

    Read the article

  • GooglePlayServicesNotAvailable: GooglePlayServices not available due to error 1

    - by Mathias Lin
    I'm on Galaxy S III with Android 4.0.4, Google Play installed. In my app I try to get a token from the Google Play services, as described on https://developers.google.com/android/google-play-services/authentication. Since it's all quite new (the Google pages were last updated this week), there's not much documentation to be found, especially about each specific error code. final String token = GoogleAuthUtil.getToken(this, "[email protected]", "scope"); gives me an exception: 09-30 11:24:36.075: ERROR/GoogleAuthUtil(11984): GooglePlayServices not available due to error 1 09-30 11:24:36.105: ERROR/AuthTokenCheck_(11984): Error 1 com.google.android.gms.auth.GooglePlayServicesAvailabilityException: GooglePlayServicesNotAvailable at com.google.android.gms.auth.GoogleAuthUtil.f(Unknown Source) at com.google.android.gms.auth.GoogleAuthUtil.getToken(Unknown Source) at com.google.android.gms.auth.GoogleAuthUtil.getToken(Unknown Source) at mobi.app.activity.AuthTokenCheck.getAndUseAuthTokenBlocking(AuthTokenCheck.java:148) at mobi.app.activity.AuthTokenCheck$1.doInBackground(AuthTokenCheck.java:61) at android.os.AsyncTask$2.call(AsyncTask.java:264) at java.util.concurrent.FutureTask$Sync.innerRun(FutureTask.java:305) at java.util.concurrent.FutureTask.run(FutureTask.java:137) at android.os.AsyncTask$SerialExecutor$1.run(AsyncTask.java:208) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1076) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:569) at java.lang.Thread.run(Thread.java:856) https://developers.google.com/android/google-play-services/reference/com/google/android/gms/auth/package-summary tells me: GooglePlayServicesAvailabilityExceptions are special instances of UserRecoverableAuthExceptions which are thrown when the expected Google Play services app is not available for some reason. But what exactly does that mean? And how to resolve it? I've added the Google Play services extras in my SDK and the jar to my project, marked as 'exported'. I'm also wondering what the "Google Play services app" exactly is. Unfortunately it's all not very clearly described at https://developers.google.com/android/google-play-services/. The Google Play services component is delivered as an APK through the Google Play Store, so updates to Google Play services are not dependent on carrier or OEM system image updates. Newer devices will also have Google Play services as part of the device's system image, but updates are still pushed to these newer devices through the Google Play Store. Isn't "Google Play services" app the same as the "Google Play" app? Another question I have, due to lack of documentation: what is the scope parameter for? The documentation just says the following, but not defining what an 'authentication scope' exactly is: scope String representing the authentication scope.

    Read the article

  • Google Apps Script - Sending Google Spreadsheet Row to Email

    - by AME
    Hi I am trying to write a script using Google Apps Script (Javascript) for a Google spreadsheet. I am trying to do the same thing that is shown in this tutorial [http://www.google.com/google-d-s/scripts/sending_emails.html][1], but each row in my spreadsheet has 24 columns. I would like to send out the contents of each row as an email. Here is the code as I am trying to use: function sendEmails() { var sheet = SpreadsheetApp.getActiveSheet(); var dataRange = sheet.getRange("A2:X31") // Fetch values for each row in the Range. var data = dataRange.getValues(); for (i in data) { var row = data[i]; var i = i + 1; var emailAddress = row[0]; // First column var message = row[1]; // Second column var subject = "Sending emails from a Spreadsheet"; MailApp.sendEmail(emailAddress, subject, message); } }? The result is an email with the contents in the "B" column only. Can someone help me change this code to get all of the contents in each row (columns A-X). Thanks,

    Read the article

  • how to: dynamically load google ajax api into chrome extension content script

    - by Hoff
    Hi there, I'm trying to make use of google's ajax apis in a chorme extension's "content script". On a regular html page, I would just do this: <script src="http://www.google.com/jsapi"></script> <script> google.load("language", "1"); </script> But since I'm trying to load the tranlation library dynamically from js code, I've tried: script = document.createElement("script"); script.src = "http://www.google.com/jsapi"; script.type = "text/javascript"; document.getElementsByTagName("head")[0].appendChild(script); google.load('language','1') but the last line throws the following error: Uncaught TypeError: Object # has no method 'load' Funny enough, when i enter the same "google.load('language','1')" in chrome's js console, it works as intended... I've also tried with jquery's .getScript() but the same problem persists... Does anybody have any clue what might be the problem and how it could be solved? Many thanks in advance! Martin

    Read the article

  • Get Chinese Romanization from Google Translate API

    - by krubo
    The Google language translate API works cleanly to translate into Chinese: <script type="text/javascript" src="http://www.google.com/jsapi"></script> <script> google.load('language','1'); function googletrans(text) { google.language.translate(text,'en','zh',function(result) { alert(result.translation); }); } </script> <input onchange="googletrans(this.value);"> Example input: "Hello" Result: "??" My problem is I can't get the Romanization (pronunciation using English letters). This is a known issue. Now the data is right there on translate.google.com (Example input: "Hello" Result: "Ni hao") and I can even see it by pointing my browser to: http://translate.google.com/translate_a/t?client=t&text=hello&hl=en&sl=en&tl=zh-CN&otf=2&pc=0 Result: {"sentences":[{"trans":"??","orig":"hello","translit":"Ni hao"}], "dict":[{"pos":"interjection","terms":["?"]}],"src":"en"} But somehow when I try to get this URL with ajax it fails (XMLHttpRequest Exception 101). Is there any way to retrieve this Romanization data with ajax?

    Read the article

  • How to get the equivalent of the accuracy in Google Map Geocoder V3

    - by Scorpi0
    Hi, I want to get geocode from google, and I used to do it with the V2 of the API. Google send in the json a pretty good information, the accuracy, reference here : http://code.google.com/intl/fr-FR/apis/maps/documentation/javascript/v2/reference.html#GGeoAddressAccuracy In V3, Google doesn't seem to send me exactly the same information. There is the array "adresse_component", which seem bigger if the accuracy is better, but not exactly. For example, I have a request accuracy to the street number, the array is of size 8. Another query is accuracy to the route, so less accuracy, but the array is style of size 8, as there is a row 'sublocality', which not appear in the first case. Ok, for a result, Google send a data 'types', which have the 'best' accuracy. This types are here : http://code.google.com/intl/fr-FR/apis/maps/documentation/geocoding/#Types But, there is no real order, and if I wan't the result better than postal_code, I have no clue to how to do that. So, how can I get this equivalent of the V2 accuracy, whithout some dumb and horrible code ?

    Read the article

  • Google Reader API - feed/[FEEDURL]/ is coming back as Not found

    - by JustinXXVII
    There is one feed I'm subscribed to which always turns up as NOT FOUND when I try to use the API. I return an array of Dictionaries, containing 3 objects. The first in the list represents the user himself, like so: { FeedID = "user/MY_UNIQUE_NUMBER/state/com.google/reading-list"; Timestamp = 1273448807271463; Unread = 59; } The Unread count is very important. My client depends on downloading 59 items from Google before it refreshes. If a feed doesn't download properly, the count is off and the client won't update. An example of a working Feed is here: { FeedID = "feed/http://arstechnica.com/index.rssx"; Timestamp = 1273447158484528; Unread = 13; } The FeedID value combines with a specially formatted URL string and gives back a list of articles. The above example works fine. However, the following feed always returns NOT FOUND on Google, and if I paste the URL verbatim into a browser, it never turns up. See here: { FeedID = "feed/http://www.peopleofwalmart.com/?feed=rss2"; Timestamp = 1273424138183529; Unread = 6; } http://www.google.com/reader/api/0/stream/contents/feed/http://www.peopleofwalmart.com/?feed=rss2?ot=1&r=n&xt=user/-/state/com.google/read&n=6&ck=1273449028&client=testClient If you are at all proficient with the API, can you please help me? Like I said, since Google always says NOT FOUND when I search for that feed, my download count is off by N articles and won't update. I would rather not hack around it, honestly. Thanks!

    Read the article

  • Move file or folder to a different folder in google document using api problem

    - by Minh Nguyen
    In Google Document i have a struct: Folder1 +------Folder1-1 +------+------File1-1-1 +------Folder1-2 +------File1-1 Folder2 I want to move "File1-1" to "Folder2" using .Net google api library(Google Data API SDK) public static void moveFolder(string szUserName, string szPassword, string szResouceID, string szToFolderResourceID) { string szSouceUrl = "https://docs.google.com/feeds/default/private/full" + "/" + HttpContext.Current.Server.UrlEncode(szResouceID); Uri sourceUri = new Uri(szSouceUrl); //create a atom entry AtomEntry atom = new AtomEntry(); atom.Id = new AtomId(szSouceUrl); string szTargetUrl = "http://docs.google.com/feeds/default/private/full/folder%3Aroot/contents/"; if (szToFolderResourceID != "") { szTargetUrl = "https://docs.google.com/feeds/default/private/full" + "/" + HttpContext.Current.Server.UrlEncode(szToFolderResourceID) + "/contents" ; } Uri targetUri = new Uri(szTargetUrl); DocumentsService service = new DocumentsService(SERVICENAME); ((GDataRequestFactory)service.RequestFactory).KeepAlive = false; service.setUserCredentials(szUserName, szPassword); service.EntrySend(targetUri, atom, GDataRequestType.Insert); } After run this function i have: Folder1 +------Folder1-1 +------+------File1-1-1 +------Folder1-2 +------File1-1 Folder2 +------File1-1 "File1-1" display in both "Folder1" and "Folder2", and when i delete it from a folder it will be deleted in another folder. (expect: "File1-1" display only in "Folder2") What happen? How can i solve this problem?

    Read the article

  • Can I retain a Google apps session token permanently for a specific user who logs into my google app

    - by Ali
    Hi guys, is it possible to retain upon authorization a single session token for a user who signs into my gogle application. CUrrently my application seems to every now and then require the user to authenticate into google apps. I think it has to do with session dying out or so. I have the following code: function getCurrentUrl() { global $_SERVER; $php_request_uri = htmlentities(substr($_SERVER['REQUEST_URI'], 0, strcspn($_SERVER['REQUEST_URI'], "\n\r")), ENT_QUOTES); if (isset($_SERVER['HTTPS']) && strtolower($_SERVER['HTTPS']) == 'on') { $protocol = 'https://'; } else { $protocol = 'http://'; } $host = $_SERVER['HTTP_HOST']; if ($_SERVER['SERVER_PORT'] != '' && (($protocol == 'http://' && $_SERVER['SERVER_PORT'] != '80') || ($protocol == 'https://' && $_SERVER['SERVER_PORT'] != '443'))) { $port = ':' . $_SERVER['SERVER_PORT']; } else { $port = ''; } return $protocol . $host . $port . $php_request_uri; } function getAuthSubUrl($n=false) { $next = $n?$n:getCurrentUrl(); $scope = 'http://docs.google.com/feeds/documents https://www.google.com/calendar/feeds/ https://spreadsheets.google.com/feeds/ https://www.google.com/m8/feeds/ https://mail.google.com/mail/feed/atom/'; $secure = false; $session = true; //echo Zend_Gdata_AuthSub::getAuthSubTokenUri($next, $scope, $secure, $session);; return Zend_Gdata_AuthSub::getAuthSubTokenUri($next, $scope, $secure, $session).(isset($_SESSION['domain'])?'&hd='.$_SESSION['domain']:''); } function _regenerate_token() { global $BASE_URL; if(!$_SESSION['token']) { if(isset($_GET['token'])): $_SESSION['token'] = Zend_Gdata_AuthSub::getAuthSubSessionToken($_GET['token']); return; else: _regenerate_sessions(); _redirect(getAuthSubUrl($BASE_URL . '/index.php?'.$_SERVER['QUERY_STRING'])); endif; } } _regenerate_token(); I know I'm doing it all wrong here and I don't know why :( I have a CONSUMER SECRET code but only use it whereever I need to access a google service. However something is wrong with my authentication as the user has to periodically 'grant access to my application' and reauthorise himself... help please

    Read the article

  • Javascript and the Google Maps API

    - by Tiny Giant Studios
    Hiya coding Ninja's I'm in a spot of bother and my hairline is on the chopping block. When I integrated the maps API on this site, ritaknoetze.com, everything worked perfectly. However, copying that exact code for a different demo website, scarabpaper, the map doesn't show up at all? Could someone show me the ropes on what I'm doing wrong? Here's the code I got from Google itself that I modified for my WordPress theme/installation: JavaScript: <meta name="viewport" content="initial-scale=1.0, user-scalable=no" /> <script type="text/javascript" src="http://maps.google.com/maps/api/js?sensor=false"></script> <script type="text/javascript"> function initialize() { var myLatlng = new google.maps.LatLng(-34.009839, 22.78101); var myOptions = { zoom: 9, center: myLatlng, navigationControl: true, mapTypeControl: false, scaleControl: false, mapTypeId: google.maps.MapTypeId.ROADMAP } var map = new google.maps.Map(document.getElementById("map_canvas"), myOptions); var image = '<?php bloginfo('template_url')?>/assets/googlemaps_marker.png'; var myLatLng = new google.maps.LatLng(-34.009839, 22.78101); var beachMarker = new google.maps.Marker({ position: myLatLng, map: map, icon: image }); } </script> My HTML where the javascript goes: <div class="contact_container"> <div id="map_canvas"></div> <div class="clearfloat"></div> </div> My CSS for the affected divs #map_canvas { width: 880px; height: 300px; margin-left: 10px; margin-bottom: 30px; margin-top: 10px; float: left; border: 1px solid #dedcdc;} .contact_container { /*container for ALL the contact info*/ background-color: #fff; border: 1px solid #dedcdc; width: 900px; margin-top: 30px; padding: 20px; padding-bottom: 0;} Any Help would be greatly appreciated...

    Read the article

  • how to upload a audio file using REST webservice in Google App Engine for Java

    - by sathya
    Am using google app engine with eclipse IDE and trying to upload a audio file. I used the File Upload in Google App Engine For Java and can able to upload the file successfully. Now am planning to use REST web service for it. I had analyzed in developers.google but i failed. Can anyone suggest me how to implement REST Web services in google app engine using Eclipse. The code google provided is shown below, // file Upload.java public class Upload extends HttpServlet { private BlobstoreService blobstoreService = BlobstoreServiceFactory.getBlobstoreService(); public void doPost(HttpServletRequest req, HttpServletResponse res) throws ServletException, IOException { Map<String, BlobKey> blobs = blobstoreService.getUploadedBlobs(req); BlobKey blobKey = blobs.get("myFile"); if (blobKey == null) { res.sendRedirect("/"); } else { res.sendRedirect("/serve?blob-key=" + blobKey.getKeyString()); }}} // file Serve.java public class Serve extends HttpServlet { private BlobstoreService blobstoreService = BlobstoreServiceFactory.getBlobstoreService(); public void doGet(HttpServletRequest req, HttpServletResponse res) throws IOException { BlobKey blobKey = new BlobKey(req.getParameter("blob-key")); blobstoreService.serve(blobKey, res); }} // file index.jsp <%@ page import="com.google.appengine.api.blobstore.BlobstoreServiceFactory" %> <%@ page import="com.google.appengine.api.blobstore.BlobstoreService" %> <% BlobstoreService blobstoreService = BlobstoreServiceFactory.getBlobstoreService(); %> <form action="<%= blobstoreService.createUploadUrl("/upload") %>" method="post" enctype="multipart/form-data"> <input type="file" name="myFile"> <input type="submit" value="Submit"> </form> // web.xml <servlet> <servlet-name>Upload</servlet-name> <servlet-class>Upload</servlet-class> </servlet> <servlet> <servlet-name>Serve</servlet-name> <servlet-class>Serve</servlet-class> </servlet> <servlet-mapping> <servlet-name>Upload</servlet-name> <url-pattern>/upload</url-pattern> </servlet-mapping> <servlet-mapping> <servlet-name>Serve</servlet-name> <url-pattern>/serve</url-pattern> </servlet-mapping> Now how to provide a rest web service for the above code. Kindly suggest me an idea.

    Read the article

  • Backup Google Calendar programmatically: http://www.google.com/reader/subscriptions/export

    - by Michael
    I'm struggling with writing a python script that automatically grabs the zip fail containing all my google calendars and stores it (as a backup) on my harddisk. I'm using ClientLogin to get an authentication token (and successfully can obtain the token). Unfortunately, i'm unable to retrieve the file at https://www.google.com/calendar/exporticalzip It always asks me for the login credentials again by returning a login page as html (instead of the zip). Here's the critical code: post_data = post_data = urllib.urlencode({ 'auth': token, 'continue': zip_url}) request = urllib2.Request('https://www.google.com/calendar', post_data, header) try: f = urllib2.urlopen(request) result = f.read() except: print "Error" Anyone any ideas or done that before? Or an alternative idea how to backup all my calendars (automatically!)

    Read the article

  • Augmenting your Social Efforts via Data as a Service (DaaS)

    - by Mike Stiles
    The following is the 3rd in a series of posts on the value of leveraging social data across your enterprise by Oracle VP Product Development Don Springer and Oracle Cloud Data and Insight Service Sr. Director Product Management Niraj Deo. In this post, we will discuss the approach and value of integrating additional “public” data via a cloud-based Data-as-as-Service platform (or DaaS) to augment your Socially Enabled Big Data Analytics and CX Management. Let’s assume you have a functional Social-CRM platform in place. You are now successfully and continuously listening and learning from your customers and key constituents in Social Media, you are identifying relevant posts and following up with direct engagement where warranted (both 1:1, 1:community, 1:all), and you are starting to integrate signals for communication into your appropriate Customer Experience (CX) Management systems as well as insights for analysis in your business intelligence application. What is the next step? Augmenting Social Data with other Public Data for More Advanced Analytics When we say advanced analytics, we are talking about understanding causality and correlation from a wide variety, volume and velocity of data to Key Performance Indicators (KPI) to achieve and optimize business value. And in some cases, to predict future performance to make appropriate course corrections and change the outcome to your advantage while you can. The data to acquire, process and analyze this is very nuanced: It can vary across structured, semi-structured, and unstructured data It can span across content, profile, and communities of profiles data It is increasingly public, curated and user generated The key is not just getting the data, but making it value-added data and using it to help discover the insights to connect to and improve your KPIs. As we spend time working with our larger customers on advanced analytics, we have seen a need arise for more business applications to have the ability to ingest and use “quality” curated, social, transactional reference data and corresponding insights. The challenge for the enterprise has been getting this data inline into an easily accessible system and providing the contextual integration of the underlying data enriched with insights to be exported into the enterprise’s business applications. The following diagram shows the requirements for this next generation data and insights service or (DaaS): Some quick points on these requirements: Public Data, which in this context is about Common Business Entities, such as - Customers, Suppliers, Partners, Competitors (all are organizations) Contacts, Consumers, Employees (all are people) Products, Brands This data can be broadly categorized incrementally as - Base Utility data (address, industry classification) Public Master Reference data (trade style, hierarchy) Social/Web data (News, Feeds, Graph) Transactional Data generated by enterprise process, workflows etc. This Data has traits of high-volume, variety, velocity etc., and the technology needed to efficiently integrate this data for your needs includes - Change management of Public Reference Data across all categories Applied Big Data to extract statics as well as real-time insights Knowledge Diagnostics and Data Mining As you consider how to deploy this solution, many of our customers will be using an online “cloud” service that provides quality data and insights uniformly to all their necessary applications. In addition, they are requesting a service that is: Agile and Easy to Use: Applications integrated with the service can obtain data on-demand, quickly and simply Cost-effective: Pre-integrated into applications so customers don’t have to Has High Data Quality: Single point access to reference data for data quality and linkages to transactional, curated and social data Supports Data Governance: Becomes more manageable and cost-effective since control of data privacy and compliance can be enforced in a centralized place Data-as-a-Service (DaaS) Just as the cloud has transformed and now offers a better path for how an enterprise manages its IT from their infrastructure, platform, and software (IaaS, PaaS, and SaaS), the next step is data (DaaS). Over the last 3 years, we have seen the market begin to offer a cloud-based data service and gain initial traction. On one side of the DaaS continuum, we see an “appliance” type of service that provides a single, reliable source of accurate business data plus social information about accounts, leads, contacts, etc. On the other side of the continuum we see more of an online market “exchange” approach where ISVs and Data Publishers can publish and sell premium datasets within the exchange, with the exchange providing a rich set of web interfaces to improve the ease of data integration. Why the difference? It depends on the provider’s philosophy on how fast the rate of commoditization of certain data types will occur. How do you decide the best approach? Our perspective, as shown in the diagram below, is that the enterprise should develop an elastic schema to support multi-domain applicability. This allows the enterprise to take the most flexible approach to harness the speed and breadth of public data to achieve value. The key tenet of the proposed approach is that an enterprise carefully federates common utility, master reference data end points, mobility considerations and content processing, so that they are pervasively available. One way you may already be familiar with this approach is in how you do Address Verification treatments for accounts, contacts etc. If you design and revise this service in such a way that it is also easily available to social analytic needs, you could extend this to launch geo-location based social use cases (marketing, sales etc.). Our fundamental belief is that value-added data achieved through enrichment with specialized algorithms, as well as applying business “know-how” to weight-factor KPIs based on innovative combinations across an ever-increasing variety, volume and velocity of data, will be where real value is achieved. Essentially, Data-as-a-Service becomes a single entry point for the ever-increasing richness and volume of public data, with enrichment and combined capabilities to extract and integrate the right data from the right sources with the right factoring at the right time for faster decision-making and action within your core business applications. As more data becomes available (and in many cases commoditized), this value-added data processing approach will provide you with ongoing competitive advantage. Let’s look at a quick example of creating a master reference relationship that could be used as an input for a variety of your already existing business applications. In phase 1, a simple master relationship is achieved between a company (e.g. General Motors) and a variety of car brands’ social insights. The reference data allows for easy sort, export and integration into a set of CRM use cases for analytics, sales and marketing CRM. In phase 2, as you create more data relationships (e.g. competitors, contacts, other brands) to have broader and deeper references (social profiles, social meta-data) for more use cases across CRM, HCM, SRM, etc. This is just the tip of the iceberg, as the amount of master reference relationships is constrained only by your imagination and the availability of quality curated data you have to work with. DaaS is just now emerging onto the marketplace as the next step in cloud transformation. For some of you, this may be the first you have heard about it. Let us know if you have questions, or perspectives. In the meantime, we will continue to share insights as we can.Photo: Erik Araujo, stock.xchng

    Read the article

  • Backup Google Calendar programmatically: https://www.google.com/calendar/exporticalzip

    - by Michael
    I'm struggling with writing a python script that automatically grabs the zip fail containing all my google calendars and stores it (as a backup) on my harddisk. I'm using ClientLogin to get an authentication token (and successfully can obtain the token). Unfortunately, i'm unable to retrieve the file at https://www.google.com/calendar/exporticalzip It always asks me for the login credentials again by returning a login page as html (instead of the zip). Here's the critical code: post_data = post_data = urllib.urlencode({ 'auth': token, 'continue': zip_url}) request = urllib2.Request('https://www.google.com/calendar', post_data, header) try: f = urllib2.urlopen(request) result = f.read() except: print "Error" Anyone any ideas or done that before? Or an alternative idea how to backup all my calendars (automatically!)

    Read the article

  • Working with data and meta data that are separated on different servers

    - by afuzzyllama
    While developing a product, I've come across a situation where my group wants to store meta data for data entry forms (questions, layout, etc) in a different database then the database where the collected data is stored. This is mostly for security because we want to be able to have our meta data public facing, while keeping collected data as secure as possible. I was thinking about writing a web service that provides the meta information that the data collection program could access. The only issue I see with this approach is the front end is going to have to match the meta data with the collected data, which would be more efficient as a join on the back end. Currently, this system is slated to run on .NET and MSSQL. I haven't played around with .NET libraries running in SQL, but I'm considering trying to create logic that would pull from the web service, convert the meta data into a table that SQL can join on, and return the combined data and meta data that way. Is this solution the wrong way to approach the problem? Is there a pattern or "industry standard" way of bringing together two datasets that don't live in the same database?

    Read the article

  • The Business case for Big Data

    - by jasonw
    The Business Case for Big Data Part 1 What's the Big Deal Okay, so a new buzz word is emerging. It's gone beyond just a buzzword now, and I think it is going to change the landscape of retail, financial services, healthcare....everything. Let me spend a moment to talk about what i'm going to talk about. Massive amounts of data are being collected every second, more than ever imaginable, and the size of this data is more than can be practically managed by today’s current strategies and technologies. There is a revolution at hand centering on this groundswell of data and it will change how we execute our businesses through greater efficiencies, new revenue discovery and even enable innovation. It is the revolution of Big Data. This is more than just a new buzzword is being tossed around technology circles.This blog series for Big Data will explain this new wave of technology and provide a roadmap for businesses to take advantage of this growing trend. Cases for Big Data There is a growing list of use cases for big data. We naturally think of Marketing as the low hanging fruit. Many projects look to analyze twitter feeds to find new ways to do marketing. I think of a great example from a TED speech that I recently saw on data visualization from Facebook from my masters studies at University of Virginia. We can see when the most likely time for breaks-ups occurs by looking at status changes and updates on users Walls. This is the intersection of Big Data, Analytics and traditional structured data. Ted Video Marketers can use this to sell more stuff. I really like the following piece on looking at twitter feeds to measure mood. The following company was bought by a hedge fund. They could predict how the S&P was going to do within three days at an 85% accuracy. Link to the article Here we see a convergence of predictive analytics and Big Data. So, we'll look at a lot of these business cases and start talking about what this means for the business. It's more than just finding ways to use Hadoop + NoSql and we'll talk about that too. How do I start in Big Data? That's what is coming next post.

    Read the article

  • Big Data – Buzz Words: What is NoSQL – Day 5 of 21

    - by Pinal Dave
    In yesterday’s blog post we explored the basic architecture of Big Data . In this article we will take a quick look at one of the four most important buzz words which goes around Big Data – NoSQL. What is NoSQL? NoSQL stands for Not Relational SQL or Not Only SQL. Lots of people think that NoSQL means there is No SQL, which is not true – they both sound same but the meaning is totally different. NoSQL does use SQL but it uses more than SQL to achieve its goal. As per Wikipedia’s NoSQL Database Definition – “A NoSQL database provides a mechanism for storage and retrieval of data that uses looser consistency models than traditional relational databases.“ Why use NoSQL? A traditional relation database usually deals with predictable structured data. Whereas as the world has moved forward with unstructured data we often see the limitations of the traditional relational database in dealing with them. For example, nowadays we have data in format of SMS, wave files, photos and video format. It is a bit difficult to manage them by using a traditional relational database. I often see people using BLOB filed to store such a data. BLOB can store the data but when we have to retrieve them or even process them the same BLOB is extremely slow in processing the unstructured data. A NoSQL database is the type of database that can handle unstructured, unorganized and unpredictable data that our business needs it. Along with the support to unstructured data, the other advantage of NoSQL Database is high performance and high availability. Eventual Consistency Additionally to note that NoSQL Database may not provided 100% ACID (Atomicity, Consistency, Isolation, Durability) compliance.  Though, NoSQL Database does not support ACID they provide eventual consistency. That means over the long period of time all updates can be expected to propagate eventually through the system and data will be consistent. Taxonomy Taxonomy is the practice of classification of things or concepts and the principles. The NoSQL taxonomy supports column store, document store, key-value stores, and graph databases. We will discuss the taxonomy in detail in later blog posts. Here are few of the examples of the each of the No SQL Category. Column: Hbase, Cassandra, Accumulo Document: MongoDB, Couchbase, Raven Key-value : Dynamo, Riak, Azure, Redis, Cache, GT.m Graph: Neo4J, Allegro, Virtuoso, Bigdata As of now there are over 150 NoSQL Database and you can read everything about them in this single link. Tomorrow In tomorrow’s blog post we will discuss Buzz Word – Hadoop. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

    Read the article

  • BAM Data Control in multiple ADF Faces Components

    - by [email protected]
    As we know Oracle BAM data control instance sharing is not supported.When two or more ADF Faces components must display the same data, and are bound to the same Oracle BAM data control definition, we have to make sure that we wrap each ADF Faces component in an ADF task flow, and set the Data Control Scope to isolated. This blog will show a small sample to demonstrate this. In this sample we will create a Pie and Bar using same BAM DC, such that both components use same Data control but have isolated scope.This sample can be downloaded  fromSample1.zip Set-up: Create a BAM data control using employees DO (sample) Steps: Right click on View Controller project and select "New->ADF Task Flow" Check "Create Bounded Task Flow" and give some meaningful name (ex:EmpPieTF.xml ) to the TaskFlow(TF) and click on "OK"CreateTF.bmpFrom the "Components Palette", drag and drop "View" into the task flow diagram. Give a meaningful name to the view. Double Click and Click "Ok" for  "Create New JSF Page Fragment" From "Data Controls" drag and drop "Employees->Query"  into this jsff page as "Graph->Pie" (Pie: Sales_Number and Slices: Salesperson) Repeat step 1 through 4 for another Task Flow (ex: EmpBarTF). From "Data Controls" drag and drop "Employees->Query"  into this jsff page as "Graph->Bar" (Bars :Sales_Number and X-axis : Salesperson). Open the Taskflow created in step 2. In the Structure Pane, right click on "Task Flow Definition -EmpPieTF" Click "Insert inside Task Flow Definition - EmpPieTF -> ADF Task Flow -> Data Control Scope". Click "OK"TFDCScope.bmpFor the "Data Control Scope", In the Property Inspector ->General section, change data control scope from Shared to Isolated. Repeat step 8 through 11 for the 2nd Task flow created. Now create a new jspx page example: Main.jspxDrag and drop both the Task flows (ex: "EmpPieTF" and "EmpBarTF") as regions. Surround with panel components as needed.Run the page Main.jspxMainPage.bmpNow when the page runs although both components are created using same Data control the bindings are not shared and each component will have a separate instance of the data control.

    Read the article

  • Google Analytics Campaigns Not Tracking E-Commerce

    - by Paul
    I am running email campaigns via MailChimp and tracking the success of my campaigns via Google Analytics. I can successfully see data being tracked for: Reporting > Conversions > Ecommerce (Receiving Data) Reporting > Traffic Sources > Campaigns (Receiving Data) However, I am not receiving any Ecommerce data for the individual campaigns: Reporting > Traffic Sources > Campaigns > Ecommerce (No data) So I see data like: Visits: 18,501 Revenue: $0.00 Everything I have read leads me to believe this should just "work" if Ecommerce is setup. Is there some additional action I need to take for this work? Any help would be appreciated!

    Read the article

  • How could Google Latitude find my exact PC location with no GPS or public wifi?

    - by Mike
    I found a similar question here but I still don't get it. You see, I live in a small town and every time I check my IP location via online services or speed test websites, my location appears to be my ISP server location (which in my case is 250 miles away). But when I tried Google latitude, it pinpointed my exact location within less than 100 meters! I use Windows Vista, Google Chrome, and when I got the message that "Google is trying to locate you", I agreed just to check what the result will be. It was scary, very scary! What I've come up after reading the above link is that Google have a kind of extensive WiFi database locations. That could be understandable with the case of public and open WiFis that are used with a lot of people. Some of them might be using applications that could gather location data and somehow this information ends up in giant Google databases. From those, Google could pinpoint a WiFi location based on its MAC address along with these bits of info that have been gathered via various sources. The issue here is that my WiFi is private, I don't even broadcast my WiFi name. So how on earth did Google find my exact PC location? Please break down the answer in layman's terms as possible.

    Read the article

  • Syncing Multiple Google Calendars and with Outlook and Android

    - by Fred Thomas
    Perhaps this is a multipart question, but I deal with a lot of calendars in my life, and want to know if there is some way to sync them all together, and maintain appropriate privacy. So I have a family calendar that my ex and I maintain for kid events, and I have a personal calendar for my own life, and I have an Outlook work calendar, for work. Ideally I'd look at my calendar on my Android phone. Is it possible to sync them all together? Is it possible for there to be one calendar to rule them all on my phone, but have the other calendars blank out spaces that are from other calendars, but only show the blanked out without the details. (I don't want my date with Miss Hottie to appear that way on the family calendar, and I probably don't want my visit to the proctologist to appear in the corporate exchange server.) Are there tools available to do this? Bonus question, can I do the same with my to do lists? Double bouns question -- how can I solve world hunger and help us to all live together in peace? :-)

    Read the article

  • Unable to Connect to just Google Servers

    - by Akshat Mittal
    I am in an extremely strange problem. I am unable to connect to just Google Servers. I am not able to access any site related to Google, Google.com | YouTube | Google+ | Webmaster Tools | jQuery CDN, nothing is working. I am able to open any other website (as I am posting this question on SuperUser), even the Google DNS (8.8.8.8 and 8.8.4.4) are offline. Please Help!! Update 1: Google DNS are back online, YouTube is back online. But website on domain google.com is not working (ex: play.google.com, maps.google.com, google.com/search, etc). Update 2: I am able to access Google.com (only) with (one of) its IP addresss(s) listed below: 74.125.227.41 74.125.227.46 74.125.227.32 74.125.227.33 74.125.227.34 74.125.227.35 74.125.227.36 74.125.227.37 74.125.227.38 74.125.227.39 74.125.227.40 Update 3: I consulted my friends nearby and they said that they are also experiencing the same problem. Seams like this is a major problem in this area (or India !!) The Problem is Now Solved!! I am able to open Google.com

    Read the article

< Previous Page | 28 29 30 31 32 33 34 35 36 37 38 39  | Next Page >