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• Can't start webcam for google video services

  - by wisemonkey

  I've got Ubuntu 11.10 64 bit and have installed the google video chat plugin. However webcam doesn't seem to work (black screen -- no video at all). For cheese it works but shows really bad (black and white kinda) image. Following some link I installed guvcview if I start it then image looks neat. Any suggestions on how can it be fixed? If it helps I've tried the solution: $ sudo mv /opt/google/talkplugin/GoogleTalkPlugin /opt/google/talkplugin/GoogleTalkPlugin.old $ sudo gedit /opt/google/talkplugin/GoogleTalkPlugin and putting following lines in: #!/bin/sh LD_PRELOAD=/usr/lib32/libv4l/v4l1compat.so /opt/google/talkplugin/GoogleTalkPlugin.old OR #!/bin/sh LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libv4l/v4l1compat.so /opt/google/talkplugin/GoogleTalkPlugin.old Cause I've both files. Finally $sudo chmod +x /opt/google/talkplugin/GoogleTalkPlugin.old I closed and reopened chrome then started gmail tried video call -- black screen :-/ Ok so today finally google+ provided me with trouble shoot link and advised me: The plug-in won't install If you're having trouble installing the plug-in, or are receiving a message asking you to reinstall it, you should check to make sure your configuration is right. To do so simply: Check to make sure the Google Talk Plugin Video Accelerator and Google Talk NPAPI Plugin are enabled. If you're using Chrome you can type about:plugins in your browser to display your plug-ins. Make sure you're not using Internet Explorer 64-bit (this is a browser version that is 64 bit as opposed to 32 bit). Ensure that you don't have any "click to run" extensions enabled. If you're still experiencing this issue after checking your configuration you can follow these steps: Refresh the browser page. Close any running Google Talk plug-in processes. Close all open and running browser processes. Restart your computer. Uninstall and then reinstall the plug-in. Try a different browser such as Google Chrome or Mozilla Firefox. I looked in about:plugins for chrome and firefox: I don't have Google Talk NPAPI Plugin, does that matter? and I thought its installed with google talk plugin or no?

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• Request Removal of naked domain from Google Index

  - by Pedr

  I have a site which was temporarily available at both example.com and www.example.com. All traffic to example.com is now redirected to www.example.com, however during the brief period that the site was available at the naked domain, Google indexed it. So Google now has two versions of every page indexed: www.example.com www.example.com/about_us www.example.com/products/something ... and example.com example.com/about_us example.com/products/something ... For obvious reasons, this is a bad situation, so how can I best resolve it? Should I request removal of these pages from the index? There is still content at these URLs, but they now redirect to the www subdomain equivalent. The site has many hundreds of pages, but the only way I can see to request removal is via the Remove outdated content screen in Webmaster Tools, one URL at a time. How can I request removal of an entire domain (ie. the naked domain) without it effecting the true site located at the www subdomain? Is this the correct strategy given that all the naked domains now redirect to their www equivalent?

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• adwords traffic shows as 'not set' in google analytics

  - by sam

  in google analytics if i go to traffic sources search paid all i get is "not set". instead of the usual list of keywords that people have used to find the ad, this makes it really difficult to understand whats going on in the campaign.. ive gone into adwords and turned on auto tagging but still the same problem any idea how i can fix this so under the paid tab i get the phrases people have used to find my ad in ppc ?

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• Add Free Google Apps to Your Website or Blog

  - by Matthew Guay

  Would you like to have an email address from your own domain, but prefer Gmail’s interface and integration with Google Docs?  Here’s how you can add the free Google Apps Standard to your site and get the best of both worlds. Note: To signup for Google Apps and get it setup on your domain, you will need to be able to add info to your WordPress blog or change Domain settings manually. Getting Started Head to the Google Apps signup page (link below), and click the Get Started button on the right.  Note that we are signing up for the free Google Apps which allows a max of 50 users; if you need more than 50 email addresses for your domain, you can choose Premiere Edition instead for $50/year. Select that you are the Administrator of the domain, and enter the domain or subdomain you want to use with Google Apps.  Here we’re adding Google Apps to the techinch.com site, but we could instead add Apps to mail.techinch.com if needed…click Get Started. Enter your name, phone number, an existing email address, and other Administrator information.  The Apps signup page also includes some survey questions about your organization, but you only have to fill in the required fields. On the next page, enter a username and password for the administrator account.  Note that the user name will also be the administrative email address as [email protected]. Now you’re ready to authenticate your Google Apps account with your domain.  The steps are slightly different depending on whether your site is on WordPress.com or on your own hosting service or server, so we’ll show how to do it both ways.   Authenticate and Integrate Google Apps with WordPress.com To add Google Apps to a domain you have linked to your WordPress.com blog, select Change yourdomain.com CNAME record and click Continue. Copy the code under #2, which should be something like googleabcdefg123456.  Do not click the button at the bottom; wait until we’ve completed the next step.   Now, in a separate browser window or tab, open your WordPress Dashboard.  Click the arrow beside Upgrades, and select Domains from the menu. Click the Edit DNS link beside the domain name you’re adding to Google Apps. Scroll down to the Google Apps section, and paste your code from Google Apps into the verification code field.  Click Generate DNS records when you’re done. This will add the needed DNS settings to your records in the box above the Google Apps section.  Click Save DNS records. Now, go back to the Google Apps signup page, and click I’ve completed the steps above. Authenticate Google Apps on Your Own Server If your website is hosted on your own server or hosting account, you’ll need to take a few more steps to add Google Apps to your domain.  You can add a CNAME record to your domain host using the same information that you would use with a WordPress account, or you can upload an HTML file to your site’s main directory.  In this test we’re going to upload an HTML file to our site for verification. Copy the code under #1, which should be something like googleabcdefg123456.  Do not click the button at the bottom; wait until we’ve completed the next step first. Create a new HTML file and paste the code in it.  You can do this easily in Notepad: create a new document, paste the code, and then save as googlehostedservice.html.  Make sure to select the type as All Files or otherwise the file will have a .txt extension. Upload this file to your web server via FTP or a web dashboard for your site.  Make sure it is in the top level of your site’s directory structure, and try visiting it at yoursite.com/googlehostedservice.html. Now, go back to the Google Apps signup page, and click I’ve completed the steps above. Setup Your Email on Google Apps When this is done, your Google Apps account should be activated and ready to finish setting up.  Google Apps will offer to launch a guide to step you through the rest of the process; you can click Launch guide if you want, or click Skip this guide to continue on your own and go directly to the Apps dashboard.   If you choose to open the guide, you’ll be able to easily learn the ropes of Google Apps administration.  Once you’ve completed the tutorial, you’ll be taken to the Google Apps dashboard. Most of the Google Apps will be available for immediate use, but Email may take a bit more setup.  Click Activate email to get your Gmail-powered email running on your domain.    Add Google MX Records to Your Server You will need to add Google MX records to your domain registrar in order to have your mail routed to Google.  If your domain is hosted on WordPress.com, you’ve already made these changes so simply click I have completed these steps.  Otherwise, you’ll need to manually add these records before clicking that button.   Adding MX Entries is fairly easy, but the steps may depend on your hosting company or registrar.  With some hosts, you may have to contact support to have them add the MX records for you.  Our site’s host uses the popular cPanel for website administration, so here’s how we added the MX Entries through cPanel. Add MX Entries through cPanel Login to your site’s cPanel, and click the MX Entry link under Mail. Delete any existing MX Records for your domain or subdomain first to avoid any complications or interactions with Google Apps.  If you think you may want to revert to your old email service in the future, save a copy of the records so you can switch back if you need. Now, enter the MX Records that Google listed.  Here’s our account after we added all of the entries to our account. Finally, return to your Google Apps Dashboard and click the I have completed these steps button at the bottom of the page. Activating Service You’re now officially finished activating and setting up your Google Apps account.  Google will first have to check the MX records for your domain; this only took around an hour in our test, but Google warns it can take up to 48 hours in some cases. You may then see that Google is updating its servers with your account information.  Once again, this took much less time than Google’s estimate. When everything’s finished, you can click the link to access the inbox of your new Administrator email account in Google Apps. Welcome to Gmail … at your own domain!  All of the Google Apps work just the same in this version as they do in the public @gmail.com version, so you should feel right at home. You can return to the Google Apps dashboard from the Administrative email account by clicking the Manage this domain at the top right. In the Dashboard, you can easily add new users and email accounts, as well as change settings in your Google Apps account and add your site’s branding to your Apps. Your Google Apps will work just like their standard @gmail.com counterparts.  Here’s an example of an inbox customized with the techinch logo and a Gmail theme. Links to Remember Here are the common links to your Google Apps online.  Substitute your domain or subdomain for yourdomain.com. Dashboard https://www.google.com/a/cpanel/yourdomain.com Email https://mail.google.com/a/yourdomain.com Calendar https://www.google.com/calendar/hosted/yourdomain.com Docs https://docs.google.com/a/yourdomain.com Sites https://sites.google.com/a/yourdomain.com Conclusion Google Apps offers you great webapps and webmail for your domain, and let’s you take advantage of Google’s services while still maintaining the professional look of your own domain.  Setting up your account can be slightly complicated, but once it’s finished, it will run seamlessly and you’ll never have to worry about email or collaboration with your team again. Signup for the free Google Apps Standard Similar Articles Productive Geek Tips Mysticgeek Blog: Create Your Own Simple iGoogle GadgetAccess Your Favorite Google Services in Chrome the Easy WayRevo Uninstaller Pro [REVIEW]Mysticgeek Blog: A Look at Internet Explorer 8 Beta 1 on Windows XPFind Similar Websites in Google Chrome TouchFreeze Alternative in AutoHotkey The Icy Undertow Desktop Windows Home Server – Backup to LAN The Clear & Clean Desktop Use This Bookmarklet to Easily Get Albums Use AutoHotkey to Assign a Hotkey to a Specific Window Latest Software Reviews Tinyhacker Random Tips Xobni Plus for Outlook All My Movies 5.9 CloudBerry Online Backup 1.5 for Windows Home Server Snagit 10 Video preview of new Windows Live Essentials 21 Cursor Packs for XP, Vista & 7 Map the Stars with Stellarium Use ILovePDF To Split and Merge PDF Files TimeToMeet is a Simple Online Meeting Planning Tool Easily Create More Bookmark Toolbars in Firefox

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• Revamped Joomla site to Google search engine

  - by user3127632

  I am about to upload a revamped site of Joomla (update from 1.5 to 2.5 + changes). I currently have a test bed subdomain that I am currently working on. In few days I am about to do the swap and replace the old site with the new one. I am worrying about Search Engines and specifically Google. The site currently has a very good rank (appears 2nd in the search), what actions do I have to take in order to be updated and preserve the rank? (except submitting the new sitemap I guess). It's not a difficult task but because I don't have the option to be wrong or mistakes to be done I an asking for a more "expert" advice.

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• Big Data – Is Big Data Relevant to me? – Big Data Questionnaires – Guest Post by Vinod Kumar

  - by Pinal Dave

  This guest post is by Vinod Kumar. Vinod Kumar has worked with SQL Server extensively since joining the industry over a decade ago. Working on various versions of SQL Server 7.0, Oracle 7.3 and other database technologies – he now works with the Microsoft Technology Center (MTC) as a Technology Architect. Let us read the blog post in Vinod’s own voice. I think the series from Pinal is a good one for anyone planning to start on Big Data journey from the basics. In my daily customer interactions this buzz of “Big Data” always comes up, I react generally saying – “Sir, do you really have a ‘Big Data’ problem or do you have a big Data problem?” Generally, there is a silence in the air when I ask this question. Data is everywhere in organizations – be it big data, small data, all data and for few it is bad data which is same as no data :). Wow, don’t discount me as someone who opposes “Big Data”, I am a big supporter as much as I am a critic of the abuse of this term by the people. In this post, I wanted to let my mind flow so that you can also think in the direction I want you to see these concepts. In any case, this is not an exhaustive dump of what is in my mind – but you will surely get the drift how I am going to question Big Data terms from customers!!! Is Big Data Relevant to me? Many of my customers talk to me like blank whiteboard with no idea – “why Big Data”. They want to jump into the bandwagon of technology and they want to decipher insights from their unexplored data a.k.a. unstructured data with structured data. So what are these industry scenario’s that come to mind? Here are some of them: Financials Fraud detection: Banks and Credit cards are monitoring your spending habits on real-time basis. Customer Segmentation: applies in every industry from Banking to Retail to Aviation to Utility and others where they deal with end customer who consume their products and services. Customer Sentiment Analysis: Responding to negative brand perception on social or amplify the positive perception. Sales and Marketing Campaign: Understand the impact and get closer to customer delight. Call Center Analysis: attempt to take unstructured voice recordings and analyze them for content and sentiment. Medical Reduce Re-admissions: How to build a proactive follow-up engagements with patients. Patient Monitoring: How to track Inpatient, Out-Patient, Emergency Visits, Intensive Care Units etc. Preventive Care: Disease identification and Risk stratification is a very crucial business function for medical. Claims fraud detection: There is no precise dollars that one can put here, but this is a big thing for the medical field. Retail Customer Sentiment Analysis, Customer Care Centers, Campaign Management. Supply Chain Analysis: Every sensors and RFID data can be tracked for warehouse space optimization. Location based marketing: Based on where a check-in happens retail stores can be optimize their marketing. Telecom Price optimization and Plans, Finding Customer churn, Customer loyalty programs Call Detail Record (CDR) Analysis, Network optimizations, User Location analysis Customer Behavior Analysis Insurance Fraud Detection & Analysis, Pricing based on customer Sentiment Analysis, Loyalty Management Agents Analysis, Customer Value Management This list can go on to other areas like Utility, Manufacturing, Travel, ITES etc. So as you can see, there are obviously interesting use cases for each of these industry verticals. These are just representative list. Where to start? A lot of times I try to quiz customers on a number of dimensions before starting a Big Data conversation. Are you getting the data you need the way you want it and in a timely manner? Can you get in and analyze the data you need? How quickly is IT to respond to your BI Requests? How easily can you get at the data that you need to run your business/department/project? How are you currently measuring your business? Can you get the data you need to react WITHIN THE QUARTER to impact behaviors to meet your numbers or is it always “rear-view mirror?” How are you measuring: The Brand Customer Sentiment Your Competition Your Pricing Your performance Supply Chain Efficiencies Predictive product / service positioning What are your key challenges of driving collaboration across your global business?  What the challenges in innovation? What challenges are you facing in getting more information out of your data? Note: Garbage-in is Garbage-out. Hold good for all reporting / analytics requirements Big Data POCs? A number of customers get into the realm of setting a small team to work on Big Data – well it is a great start from an understanding point of view, but I tend to ask a number of other questions to such customers. Some of these common questions are: To what degree is your advanced analytics (natural language processing, sentiment analysis, predictive analytics and classification) paired with your Big Data’s efforts? Do you have dedicated resources exploring the possibilities of advanced analytics in Big Data for your business line? Do you plan to employ machine learning technology while doing Advanced Analytics? How is Social Media being monitored in your organization? What is your ability to scale in terms of storage and processing power? Do you have a system in place to sort incoming data in near real time by potential value, data quality, and use frequency? Do you use event-driven architecture to manage incoming data? Do you have specialized data services that can accommodate different formats, security, and the management requirements of multiple data sources? Is your organization currently using or considering in-memory analytics? To what degree are you able to correlate data from your Big Data infrastructure with that from your enterprise data warehouse? Have you extended the role of Data Stewards to include ownership of big data components? Do you prioritize data quality based on the source system (that is Facebook/Twitter data has lower quality thresholds than radio frequency identification (RFID) for a tracking system)? Do your retention policies consider the different legal responsibilities for storing Big Data for a specific amount of time? Do Data Scientists work in close collaboration with Data Stewards to ensure data quality? How is access to attributes of Big Data being given out in the organization? Are roles related to Big Data (Advanced Analyst, Data Scientist) clearly defined? How involved is risk management in the Big Data governance process? Is there a set of documented policies regarding Big Data governance? Is there an enforcement mechanism or approach to ensure that policies are followed? Who is the key sponsor for your Big Data governance program? (The CIO is best) Do you have defined policies surrounding the use of social media data for potential employees and customers, as well as the use of customer Geo-location data? How accessible are complex analytic routines to your user base? What is the level of involvement with outside vendors and third parties in regard to the planning and execution of Big Data projects? What programming technologies are utilized by your data warehouse/BI staff when working with Big Data? These are some of the important questions I ask each customer who is actively evaluating Big Data trends for their organizations. These questions give you a sense of direction where to start, what to use, how to secure, how to analyze and more. Sign off Any Big data is analysis is incomplete without a compelling story. The best way to understand this is to watch Hans Rosling – Gapminder (2:17 to 6:06) videos about the third world myths. Don’t get overwhelmed with the Big Data buzz word, the destination to what your data speaks is important. In this blog post, we did not particularly look at any Big Data technologies. This is a set of questionnaire one needs to keep in mind as they embark their journey of Big Data. I did write some of the basics in my blog: Big Data – Big Hype yet Big Opportunity. Do let me know if these questions make sense?  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

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• Get aggregated view of data for entire website with Google Analytics

  - by crmpicco

  I have a website (www.ayrshireminis.com), which has three main sections under different directories, these are: /forum /galleries /contact I would like to have an aggregated view of the data for the whole website, but also for each section. What is the recommended approach for doing this? I believe I can create a web property that includes a profile for the entire website and duplicated filtered profiles, each section having an include filter. This is my gut instinct, but i'd like to know if there is another (better) way to do it? Maybe by having one account that includes a profile for the whole site and another profile with an include filter for the individual sections?

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• Big Data – Basics of Big Data Architecture – Day 4 of 21

  - by Pinal Dave

  In yesterday’s blog post we understood how Big Data evolution happened. Today we will understand basics of the Big Data Architecture. Big Data Cycle Just like every other database related applications, bit data project have its development cycle. Though three Vs (link) for sure plays an important role in deciding the architecture of the Big Data projects. Just like every other project Big Data project also goes to similar phases of the data capturing, transforming, integrating, analyzing and building actionable reporting on the top of  the data. While the process looks almost same but due to the nature of the data the architecture is often totally different. Here are few of the question which everyone should ask before going ahead with Big Data architecture. Questions to Ask How big is your total database? What is your requirement of the reporting in terms of time – real time, semi real time or at frequent interval? How important is the data availability and what is the plan for disaster recovery? What are the plans for network and physical security of the data? What platform will be the driving force behind data and what are different service level agreements for the infrastructure? This are just basic questions but based on your application and business need you should come up with the custom list of the question to ask. As I mentioned earlier this question may look quite simple but the answer will not be simple. When we are talking about Big Data implementation there are many other important aspects which we have to consider when we decide to go for the architecture. Building Blocks of Big Data Architecture It is absolutely impossible to discuss and nail down the most optimal architecture for any Big Data Solution in a single blog post, however, we can discuss the basic building blocks of big data architecture. Here is the image which I have built to explain how the building blocks of the Big Data architecture works. Above image gives good overview of how in Big Data Architecture various components are associated with each other. In Big Data various different data sources are part of the architecture hence extract, transform and integration are one of the most essential layers of the architecture. Most of the data is stored in relational as well as non relational data marts and data warehousing solutions. As per the business need various data are processed as well converted to proper reports and visualizations for end users. Just like software the hardware is almost the most important part of the Big Data Architecture. In the big data architecture hardware infrastructure is extremely important and failure over instances as well as redundant physical infrastructure is usually implemented. NoSQL in Data Management NoSQL is a very famous buzz word and it really means Not Relational SQL or Not Only SQL. This is because in Big Data Architecture the data is in any format. It can be unstructured, relational or in any other format or from any other data source. To bring all the data together relational technology is not enough, hence new tools, architecture and other algorithms are invented which takes care of all the kind of data. This is collectively called NoSQL. Tomorrow Next four days we will answer the Buzz Words – 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

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• Google I/O 2011: GIS with Google Earth and Google Maps

  Google I/O 2011: GIS with Google Earth and Google Maps Josh Livni, Mano Marks Building a robust interactive map with a lot of data involves more than just adding a few placemarks. We'll talk about integrating with existing GIS software, importing data from shapefiles and other formats, map projections, and techniques for managing, analyzing, and rendering large datasets. From: GoogleDevelopers Views: 3785 19 ratings Time: 52:25 More in Science & Technology

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• Big Data – Evolution of Big Data – Day 3 of 21

  - by Pinal Dave

  In yesterday’s blog post we answered what is the Big Data. Today we will understand why and how the evolution of Big Data has happened. Though the answer is very simple, I would like to tell it in the form of a history lesson. Data in Flat File In earlier days data was stored in the flat file and there was no structure in the flat file.  If any data has to be retrieved from the flat file it was a project by itself. There was no possibility of retrieving the data efficiently and data integrity has been just a term discussed without any modeling or structure around. Database residing in the flat file had more issues than we would like to discuss in today’s world. It was more like a nightmare when there was any data processing involved in the application. Though, applications developed at that time were also not that advanced the need of the data was always there and there was always need of proper data management. Edgar F Codd and 12 Rules Edgar Frank Codd was a British computer scientist who, while working for IBM, invented the relational model for database management, the theoretical basis for relational databases. He presented 12 rules for the Relational Database and suddenly the chaotic world of the database seems to see discipline in the rules. Relational Database was a promising land for all the unstructured database users. Relational Database brought into the relationship between data as well improved the performance of the data retrieval. Database world had immediately seen a major transformation and every single vendors and database users suddenly started to adopt the relational database models. Relational Database Management Systems Since Edgar F Codd proposed 12 rules for the RBDMS there were many different vendors who started them to build applications and tools to support the relationship between database. This was indeed a learning curve for many of the developer who had never worked before with the modeling of the database. However, as time passed by pretty much everybody accepted the relationship of the database and started to evolve product which performs its best with the boundaries of the RDBMS concepts. This was the best era for the databases and it gave the world extreme experts as well as some of the best products. The Entity Relationship model was also evolved at the same time. In software engineering, an Entity–relationship model (ER model) is a data model for describing a database in an abstract way. Enormous Data Growth Well, everything was going fine with the RDBMS in the database world. As there were no major challenges the adoption of the RDBMS applications and tools was pretty much universal. There was a race at times to make the developer’s life much easier with the RDBMS management tools. Due to the extreme popularity and easy to use system pretty much every data was stored in the RDBMS system. New age applications were built and social media took the world by the storm. Every organizations was feeling pressure to provide the best experience for their users based the data they had with them. While this was all going on at the same time data was growing pretty much every organization and application. Data Warehousing The enormous data growth now presented a big challenge for the organizations who wanted to build intelligent systems based on the data and provide near real time superior user experience to their customers. Various organizations immediately start building data warehousing solutions where the data was stored and processed. The trend of the business intelligence becomes the need of everyday. Data was received from the transaction system and overnight was processed to build intelligent reports from it. Though this is a great solution it has its own set of challenges. The relational database model and data warehousing concepts are all built with keeping traditional relational database modeling in the mind and it still has many challenges when unstructured data was present. Interesting Challenge Every organization had expertise to manage structured data but the world had already changed to unstructured data. There was intelligence in the videos, photos, SMS, text, social media messages and various other data sources. All of these needed to now bring to a single platform and build a uniform system which does what businesses need. The way we do business has also been changed. There was a time when user only got the features what technology supported, however, now users ask for the feature and technology is built to support the same. The need of the real time intelligence from the fast paced data flow is now becoming a necessity. Large amount (Volume) of difference (Variety) of high speed data (Velocity) is the properties of the data. The traditional database system has limits to resolve the challenges this new kind of the data presents. Hence the need of the Big Data Science. We need innovation in how we handle and manage data. We need creative ways to capture data and present to users. Big Data is Reality! Tomorrow In tomorrow’s blog post we will try to answer discuss Basics of Big Data Architecture. 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

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• Removing malware of a particular kind

  - by Cyclone

  I need to remove some malware from my computer. It is a trojan, and very annoying. It blocks access to Google and search sites. The trojan, with its name spelled out on each line cause it seems to block sites when i reference it in a url, is a r t (some text to mess it up) e m (more text i s First off, what is it, what does it do? Second, why can't I access google or yahoo or any other search sites at all? Third, can it be removed via McAffee? It says it quarantined it when I scanned I found a suspicious process "c"s"r"s"s".exe and it will not let me terminate it, and this is what Mcaffee says it is. Why on earth isn't Mcaffee getting rid of it? I even blocked internet access for this program. Thanks so much, I get kinda freaked out with things like this... Here is my entire Hosts file: 127.0.0.1 go.mail.ru 127.0.0.1 nova.rambler.ru 127.0.0.1 google.ad 127.0.0.1 www.google.ad 127.0.0.1 google.ae 127.0.0.1 www.google.ae 127.0.0.1 google.am 127.0.0.1 www.google.am 127.0.0.1 google.com.ar 127.0.0.1 www.google.com.ar 127.0.0.1 google.as 127.0.0.1 www.google.as 127.0.0.1 google.at 127.0.0.1 www.google.at 127.0.0.1 google.com.au 127.0.0.1 www.google.com.au 127.0.0.1 google.az 127.0.0.1 www.google.az 127.0.0.1 google.ba 127.0.0.1 www.google.ba 127.0.0.1 google.be 127.0.0.1 www.google.be 127.0.0.1 google.bg 127.0.0.1 www.google.bg 127.0.0.1 google.bs 127.0.0.1 www.google.bs 127.0.0.1 google.com.by 127.0.0.1 www.google.com.by 127.0.0.1 google.ca 127.0.0.1 www.google.ca 127.0.0.1 google.ch 127.0.0.1 www.google.ch 127.0.0.1 google.cn 127.0.0.1 www.google.cn 127.0.0.1 google.cz 127.0.0.1 www.google.cz 127.0.0.1 google.de 127.0.0.1 www.google.de 127.0.0.1 google.dk 127.0.0.1 www.google.dk 127.0.0.1 google.ee 127.0.0.1 www.google.ee 127.0.0.1 google.es 127.0.0.1 www.google.es 127.0.0.1 google.fi 127.0.0.1 www.google.fi 127.0.0.1 google.fr 127.0.0.1 www.google.fr 127.0.0.1 google.gr 127.0.0.1 www.google.gr 127.0.0.1 google.com.hk 127.0.0.1 www.google.com.hk 127.0.0.1 google.hr 127.0.0.1 www.google.hr 127.0.0.1 google.hu 127.0.0.1 www.google.hu 127.0.0.1 google.ie 127.0.0.1 www.google.ie 127.0.0.1 google.co.il 127.0.0.1 www.google.co.il 127.0.0.1 google.co.in 127.0.0.1 www.google.co.in 127.0.0.1 google.is 127.0.0.1 www.google.is 127.0.0.1 google.it 127.0.0.1 www.google.it 127.0.0.1 google.co.jp 127.0.0.1 www.google.co.jp 127.0.0.1 google.kg 127.0.0.1 www.google.kg 127.0.0.1 google.co.kr 127.0.0.1 www.google.co.kr 127.0.0.1 google.li 127.0.0.1 www.google.li 127.0.0.1 google.lt 127.0.0.1 www.google.lt 127.0.0.1 google.lu 127.0.0.1 www.google.lu 127.0.0.1 google.lv 127.0.0.1 www.google.lv 127.0.0.1 google.md 127.0.0.1 www.google.md 127.0.0.1 google.com.mx 127.0.0.1 www.google.com.mx 127.0.0.1 google.nl 127.0.0.1 www.google.nl 127.0.0.1 google.no 127.0.0.1 www.google.no 127.0.0.1 google.co.nz 127.0.0.1 www.google.co.nz 127.0.0.1 google.com.pe 127.0.0.1 www.google.com.pe 127.0.0.1 google.com.ph 127.0.0.1 www.google.com.ph 127.0.0.1 google.pl 127.0.0.1 www.google.pl 127.0.0.1 google.pt 127.0.0.1 www.google.pt 127.0.0.1 google.ro 127.0.0.1 www.google.ro 127.0.0.1 google.ru 127.0.0.1 www.google.ru 127.0.0.1 google.com.ru 127.0.0.1 www.google.com.ru 127.0.0.1 google.com.sa 127.0.0.1 www.google.com.sa 127.0.0.1 google.se 127.0.0.1 www.google.se 127.0.0.1 google.com.sg 127.0.0.1 www.google.com.sg 127.0.0.1 google.si 127.0.0.1 www.google.si 127.0.0.1 google.sk 127.0.0.1 www.google.sk 127.0.0.1 google.co.th 127.0.0.1 www.google.co.th 127.0.0.1 google.com.tj 127.0.0.1 www.google.com.tj 127.0.0.1 google.tm 127.0.0.1 www.google.tm 127.0.0.1 google.com.tr 127.0.0.1 www.google.com.tr 127.0.0.1 google.com.tw 127.0.0.1 www.google.com.tw 127.0.0.1 google.com.ua 127.0.0.1 www.google.com.ua 127.0.0.1 google.co.uk 127.0.0.1 www.google.co.uk 127.0.0.1 google.co.vi 127.0.0.1 www.google.co.vi 127.0.0.1 google.com 127.0.0.1 www.google.com 127.0.0.1 google.us 127.0.0.1 www.google.us 127.0.0.1 google.com.pl 127.0.0.1 www.google.com.pl 127.0.0.1 google.co.hu 127.0.0.1 www.google.co.hu 127.0.0.1 google.ge 127.0.0.1 www.google.ge 127.0.0.1 google.kz 127.0.0.1 www.google.kz 127.0.0.1 google.co.uz 127.0.0.1 www.google.co.uz 127.0.0.1 bing.com 127.0.0.1 www.bing.com 127.0.0.1 search.yahoo.com 127.0.0.1 ca.search.yahoo.com 127.0.0.1 ar.search.yahoo.com 127.0.0.1 cl.search.yahoo.com 127.0.0.1 co.search.yahoo.com 127.0.0.1 mx.search.yahoo.com 127.0.0.1 espanol.search.yahoo.com 127.0.0.1 qc.search.yahoo.com 127.0.0.1 ve.search.yahoo.com 127.0.0.1 pe.search.yahoo.com 127.0.0.1 at.search.yahoo.com 127.0.0.1 ct.search.yahoo.com 127.0.0.1 dk.search.yahoo.com 127.0.0.1 fi.search.yahoo.com 127.0.0.1 fr.search.yahoo.com 127.0.0.1 de.search.yahoo.com 127.0.0.1 it.search.yahoo.com 127.0.0.1 nl.search.yahoo.com 127.0.0.1 no.search.yahoo.com 127.0.0.1 ru.search.yahoo.com 127.0.0.1 es.search.yahoo.com 127.0.0.1 se.search.yahoo.com 127.0.0.1 ch.search.yahoo.com 127.0.0.1 uk.search.yahoo.com 127.0.0.1 asia.search.yahoo.com 127.0.0.1 au.search.yahoo.com 127.0.0.1 one.cn.yahoo.com 127.0.0.1 hk.search.yahoo.com 127.0.0.1 in.search.yahoo.com 127.0.0.1 id.search.yahoo.com 127.0.0.1 search.yahoo.co.jp 127.0.0.1 kr.search.yahoo.com 127.0.0.1 malaysia.search.yahoo.com 127.0.0.1 nz.search.yahoo.com 127.0.0.1 ph.search.yahoo.com 127.0.0.1 sg.search.yahoo.com 127.0.0.1 tw.search.yahoo.com 127.0.0.1 th.search.yahoo.com 127.0.0.1 vn.search.yahoo.com 127.0.0.1 images.google.com 127.0.0.1 images.google.ca 127.0.0.1 images.google.co.uk 127.0.0.1 news.google.com 127.0.0.1 news.google.ca 127.0.0.1 news.google.co.uk 127.0.0.1 video.google.com 127.0.0.1 video.google.ca 127.0.0.1 video.google.co.uk 127.0.0.1 blogsearch.google.com 127.0.0.1 blogsearch.google.ca 127.0.0.1 blogsearch.google.co.uk 127.0.0.1 searchservice.myspace.com 127.0.0.1 ask.com 127.0.0.1 www.ask.com 127.0.0.1 search.aol.com 127.0.0.1 search.netscape.com 127.0.0.1 yandex.ru 127.0.0.1 www.yandex.ru 127.0.0.1 yandex.ua 127.0.0.1 www.yandex.ua 127.0.0.1 search.about.com 127.0.0.1 www.verizon.net 127.0.0.1 verizon.net

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• Working with Temporal Data in SQL Server

  - by Dejan Sarka

  My third Pluralsight course, Working with Temporal Data in SQL Server, is published. I am really proud on the second part of the course, where I discuss optimization of temporal queries. This was a nearly impossible task for decades. First solutions appeared only lately. I present all together six solutions (and one more that is not a solution), and I invented four of them. http://pluralsight.com/training/Courses/TableOfContents/working-with-temporal-data-sql-server

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• New Communications Industry Data Model with "Factory Installed" Predictive Analytics using Oracle Da

  - by charlie.berger

  Oracle Introduces Oracle Communications Data Model to Provide Actionable Insight for Communications Service Providers   We've integrated pre-installed analytical methodologies with the new Oracle Communications Data Model to deliver automated, simple, yet powerful predictive analytics solutions for customers.  Churn, sentiment analysis, identifying customer segments - all things that can be anticipated and hence, preconcieved and implemented inside an applications.  Read on for more information! TM Forum Management World, Nice, France - 18 May 2010 News Facts To help communications service providers (CSPs) manage and analyze rapidly growing data volumes cost effectively, Oracle today introduced the Oracle Communications Data Model. With the Oracle Communications Data Model, CSPs can achieve rapid time to value by quickly implementing a standards-based enterprise data warehouse that features communications industry-specific reporting, analytics and data mining. The combination of the Oracle Communications Data Model, Oracle Exadata and the Oracle Business Intelligence (BI) Foundation represents the most comprehensive data warehouse and BI solution for the communications industry. Also announced today, Hong Kong Broadband Network enhanced their data warehouse system, going live on Oracle Communications Data Model in three months. The leading provider increased its subscriber base by 37 percent in six months and reduced customer churn to less than one percent. Product Details Oracle Communications Data Model provides industry-specific schema and embedded analytics that address key areas such as customer management, marketing segmentation, product development and network health. CSPs can efficiently capture and monitor critical data and transform it into actionable information to support development and delivery of next-generation services using: More than 1,300 industry-specific measurements and key performance indicators (KPIs) such as network reliability statistics, provisioning metrics and customer churn propensity. Embedded OLAP cubes for extremely fast dimensional analysis of business information. Embedded data mining models for sophisticated trending and predictive analysis. Support for multiple lines of business, such as cable, mobile, wireline and Internet, which can be easily extended to support future requirements. With Oracle Communications Data Model, CSPs can jump start the implementation of a communications data warehouse in line with communications-industry standards including the TM Forum Information Framework (SID), formerly known as the Shared Information Model. Oracle Communications Data Model is optimized for any Oracle Database 11g platform, including Oracle Exadata, which can improve call data record query performance by 10x or more. Supporting Quotes "Oracle Communications Data Model covers a wide range of business areas that are relevant to modern communications service providers and is a comprehensive solution - with its data model and pre-packaged templates including BI dashboards, KPIs, OLAP cubes and mining models. It helps us save a great deal of time in building and implementing a customized data warehouse and enables us to leverage the advanced analytics quickly and more effectively," said Yasuki Hayashi, executive manager, NTT Comware Corporation. "Data volumes will only continue to grow as communications service providers expand next-generation networks, deploy new services and adopt new business models. They will increasingly need efficient, reliable data warehouses to capture key insights on data such as customer value, network value and churn probability. With the Oracle Communications Data Model, Oracle has demonstrated its commitment to meeting these needs by delivering data warehouse tools designed to fill communications industry-specific needs," said Elisabeth Rainge, program director, Network Software, IDC. "The TM Forum Conformance Mark provides reassurance to customers seeking standards-based, and therefore, cost-effective and flexible solutions. TM Forum is extremely pleased to work with Oracle to certify its Oracle Communications Data Model solution. Upon successful completion, this certification will represent the broadest and most complete implementation of the TM Forum Information Framework to date, with more than 130 aggregate business entities," said Keith Willetts, chairman and chief executive officer, TM Forum. Supporting Resources Oracle Communications Oracle Communications Data Model Data Sheet Oracle Communications Data Model Podcast Oracle Data Warehousing Oracle Communications on YouTube Oracle Communications on Delicious Oracle Communications on Facebook Oracle Communications on Twitter Oracle Communications on LinkedIn Oracle Database on Twitter The Data Warehouse Insider Blog

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• Google Chrome - Disable Location auto-detection also for google sites

  - by Michael

  I have read how to disable the location auto-detection here and also in Stackoverflow questions asked before: Google Chrome - Auto Detect Location and more... But it seems that it has no influence on the Google relates sites, e.g. Google translate, Google analytic, and even Google it self as a search engine. I have updated Google chrome to 21.0.1180.89 and then all my problems started, i am breaking my hand since i need to translate every word Google presents in their webpages of their products (or simply use their automatic translator). So i started to use Firefox again, but i really want to return back to Google, what can I do?

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• Google.com always forward me to google.com.hk

  - by Ta Coen

  Any one could help me to figure out why Google.com always forward me to google.com.hk? $ dig google.com www.google.com. 509426 IN CNAME www.l.google.com. www.l.google.com. 100 IN A 74.125.71.147 www.l.google.com. 100 IN A 74.125.71.99 www.l.google.com. 100 IN A 74.125.71.105 www.l.google.com. 100 IN A 74.125.71.106 www.l.google.com. 100 IN A 74.125.71.104 www.l.google.com. 100 IN A 74.125.71.103 and $ dig google.com.hk www.google.com.hk. 261572 IN CNAME www.google.com. www.google.com. 589217 IN CNAME www.l.google.com. www.l.google.com. 139 IN A 74.125.235.17 www.l.google.com. 139 IN A 74.125.235.18 www.l.google.com. 139 IN A 74.125.235.19 www.l.google.com. 139 IN A 74.125.235.20 www.l.google.com. 139 IN A 74.125.235.16 How to make my network always goes to google.com?

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• How to prevent Google Website Optimizer from making Google Analytics spike Direct Traffic and lower Bounce Rate?

  - by Scott

  I am using Google Website Optimizer (GWO) and Google Analytics. Whenever a person (Google Website Optimizer) does a javascript redirect, Google Analytics will change the referrer. When the referrer changes, the traffic source becomes yourself and is changed to Direct Traffic. For Example: A visitor goes to google: searches for my great service. Clicks the link that goes to website page: /home/ At this point, Google Analytics tracks the referrer as Google. However, /home/ has a GWO javacript redirect to a battery of A/B tests. /home-1/ or /home-2/ or /home-3/ When the redirect from /home/ occurs to /home-1/, google analytics on the /home-1/ page now thinks the referrer is yourself and converts the referrer to Direct Traffic since the Direct Traffic bucket is the unknown. I'm really surprised that GWO and GA do this when they both come from google. Now, How does one fix this to prevent the overwrite of the referrer using GWO?

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• Big Data – How to become a Data Scientist and Learn Data Science? – Day 19 of 21

  - by Pinal Dave

  In yesterday’s blog post we learned the importance of the analytics in Big Data Story. In this article we will understand how to become a Data Scientist for Big Data Story. Data Scientist is a new buzz word, everyone seems to be wanting to become Data Scientist. Let us go over a few key topics related to Data Scientist in this blog post. First of all we will understand what is a Data Scientist. In the new world of Big Data, I see pretty much everyone wants to become Data Scientist and there are lots of people I have already met who claims that they are Data Scientist. When I ask what is their role, I have got a wide variety of answers. What is Data Scientist? Data scientists are the experts who understand various aspects of the business and know how to strategies data to achieve the business goals. They should have a solid foundation of various data algorithms, modeling and statistics methodology. What do Data Scientists do? Data scientists understand the data very well. They just go beyond the regular data algorithms and builds interesting trends from available data. They innovate and resurrect the entire new meaning from the existing data. They are artists in disguise of computer analyst. They look at the data traditionally as well as explore various new ways to look at the data. Data Scientists do not wait to build their solutions from existing data. They think creatively, they think before the data has entered into the system. Data Scientists are visionary experts who understands the business needs and plan ahead of the time, this tremendously help to build solutions at rapid speed. Besides being data expert, the major quality of Data Scientists is “curiosity”. They always wonder about what more they can get from their existing data and how to get maximum out of future incoming data. Data Scientists do wonders with the data, which goes beyond the job descriptions of Data Analysist or Business Analysist. Skills Required for Data Scientists Here are few of the skills a Data Scientist must have. Expert level skills with statistical tools like SAS, Excel, R etc. Understanding Mathematical Models Hands-on with Visualization Tools like Tableau, PowerPivots, D3. j’s etc. Analytical skills to understand business needs Communication skills On the technology front any Data Scientists should know underlying technologies like (Hadoop, Cloudera) as well as their entire ecosystem (programming language, analysis and visualization tools etc.) . Remember that for becoming a successful Data Scientist one require have par excellent skills, just having a degree in a relevant education field will not suffice. Final Note Data Scientists is indeed very exciting job profile. As per research there are not enough Data Scientists in the world to handle the current data explosion. In near future Data is going to expand exponentially, and the need of the Data Scientists will increase along with it. It is indeed the job one should focus if you like data and science of statistics. Courtesy: emc Tomorrow In tomorrow’s blog post we will discuss about various Big Data Learning resources. 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

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• Why my Google listing not showing up in maps.google.com search?

  - by Business Inelligence

  Why my Google local listing not showing up even if searched with exact title in maps.Google.com? Its showing mostly results from US when searched. My bi solution company map location listing comes up when searched with company name from Google web search, but not showing up in maps.Google. Is Google places or map listing different from Google local listing?. I have done my listing in Google local. If they are different is there any way to take the local listing to Google place or Google map also. My listing is a claimed one with 100 percent completed profile details.

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• Unstructured Data - The future of Data Administration

  Some have claimed that there is a problem with the way data is currently managed using the relational paradigm do to the rise of unstructured data in modern business. PCMag.com defines unstructured data as data that does not reside in a fixed location. They further explain that unstructured data refers to data in a free text form that is not bound to any specific structure. With the rise of unstructured data in the form of emails, spread sheets, images and documents the critics have a right to argue that the relational paradigm is not as effective as the object oriented data paradigm in managing this type of data. The relational paradigm relies heavily on structure and relationships in and between items of data. This type of paradigm works best in a relation database management system like Microsoft SQL, MySQL, and Oracle because data is forced to conform to a structure in the form of tables and relations can be derived from the existence of one or more tables. These critics also claim that database administrators have not kept up with reality because their primary focus in regards to data administration deals with structured data and the relational paradigm. The relational paradigm was developed in the 1970’s as a way to improve data management when compared to standard flat files. Little has changed since then, and modern database administrators need to know more than just how to handle structured data. That is why critics claim that today’s data professionals do not have the proper skills in order to store and maintain data for modern systems when compared to the skills of system designers, programmers , software engineers, and data designers  due to the industry trend of object oriented design and development. I think that they are wrong. I do not disagree that the industry is moving toward an object oriented approach to development with the potential to use more of an object oriented approach to data.   However, I think that it is business itself that is limiting database administrators from changing how data is stored because of the potential costs, and impact that might occur by altering any part of stored data. Furthermore, database administrators like all technology workers constantly are trying to improve their technical skills in order to excel in their job, so I think that accusing data professional is not just when the root cause of the lack of innovation is controlled by business, and it is business that will suffer for their inability to keep up with technology. One way for database professionals to better prepare for the future of database management is start working with data in the form of objects and so that they can extract data from the objects so that the stored information within objects can be used in relation to the data stored in a using the relational paradigm. Furthermore, I think the use of pattern matching will increase with the increased use of unstructured data because object can be selected, filtered and altered based on the existence of a pattern found within an object.

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• Fix Google Reader Lag by Blocking Google Plus Button

  - by Jason Fitzpatrick

  Chrome: Many Google Reader fans have noticed, since the upgrades last month, that the service is unbearably slow. Speed things up by blocking the Google Plus button. Ever since the upgrade from the old Google Reader interface to the new integrated-with-Google-Plus interface, many Google Reader users were reporting a painfully long lag between reading entries in Reader. Previously hitting a keyboard shortcut or arrow button to move you through the new stories was instant with no noticeable lag. After the upgrade a lag of 3-5 seconds per individual story became common (we experienced this annoying lag around the How-To Geek office immediately after the upgrade). One of the theories was that the addition of the Google Plus button to every article was causing memory issues. Geeks Are Sexy tested the theory by blocking this address: plusone.google.com/u/0/_/+1/fastbutton using AdBlock. While people were reporting great success with that move (and you may find it works great too) we didn’t have any luck. What did work for us was installing Chromeblock and, while visiting reader.google.com, clicking on the ChromeBlock toolbar button and blocking Google +1. After that the 3-5 second lag vanished and browsing articles was as snappy as it had been. Hit up the link below to grab a copy of Chromeblock. Amazon’s New Kindle Fire Tablet: the How-To Geek Review HTG Explains: How Hackers Take Over Web Sites with SQL Injection / DDoS Use Your Android Phone to Comparison Shop: 4 Scanner Apps Reviewed

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• Custom Domain for Google App Engine and Google Apps

  - by Kevin

  I have set up and configured Google App Engine and Google Apps to use my custom domain with a cname 'www'. I have configured my DNS (via fasthosts.co.uk) with the cname and pointed it to ghs.google.com. I can access the website using the google app engine domain at capel-y-crwys.appspot.com but I can't access it via my custom domain www.capelycrwys.org.uk. I have allowed several days for propagation of the DNS etc. The really strange this is I can access the app via my custom domain when I use the web browser on my Android mobile phone. I can't access the app via my custom domain from my home internet connection, my work internet connection or a friends internet connection. I tried a few online web proxies and I can access the app via the custom domain. I posted this question on the google forums code.google.com/appengine/forum/?place=topic%2Fgoogle-appengine%2FfUP-G_0FKE4%2Fdiscussion and a commentor has said he could access the app via the custom domain. So why can't I access it direct via my home internet connection etc? I've tried loads of google searching and even found a similar sounding post here on serverfault serverfault.com/questions/208461/custom-domain-name-server-not-found-google-app-engine-and-google-apps but it doesn't have an answer that helps me.

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• .co.uk targeted for google.co.uk .com targeted for google.com

  - by Higgs Boson

  We've had a website running on a .co.uk domain for some years, this domain is listed in the SERPS for our brand on both google.co.uk and google.com. We get little traffic from anywhere other than the UK because the website is targeted at the UK market with specific UK keywords. This is great, however we recently purchased the .com domain with the intention of producing a second version of the website targeted to the United States with US specific keywords i.e. targeting and moving in to the US marketplace. We have used Google webmaster tools to set the geographic target for the .com domain to be the US. I think I was expecting ONLY the .com site to show up when searching google.com and only the .co.uk site to show up when searching google.co.uk. However when we search google.com for our 'brand' the .co.uk site is listed in the SERPS. We would prefer the .com to appear in the SERPS on google.com. Is there anything we can do?

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• Developing an analytics's system processing large amounts of data - where to start

  - by Ryan

  Imagine you're writing some sort of Web Analytics system - you're recording raw page hits along with some extra things like tagging cookies etc and then producing stats such as Which pages got most traffic over a time period Which referers sent most traffic Goals completed (goal being a view of a particular page) And more advanced things like which referers sent the most number of vistors who later hit a goal. The naieve way of approaching this would be to throw it in a relational database and run queries over it - but that won't scale. You could pre-calculate everything (have a queue of incoming 'hits' and use to update report tables) - but what if you later change a goal - how could you efficiently re-calculate just the data that would be effected. Obviously this has been done before ;) so any tips on where to start, methods & examples, architecture, technologies etc.

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• How to sync Google Chrome Web Browser and Google Bookmarks

  - by Cawas

  Google Chrome has its own bookmarks that are synced across browsers using Google Docs. And Google also have Google Bookmarks that works very well with google search in itself. It has been a long discussion in many places on why they don't get along. I know similar questions have been asked, but I want to leave this open until a good solution comes around, unlike this one. So, is the perfect way to sync google chrome bookmarks and google bookmarks already born? Next step: sync with delicious!

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• Big Data – Beginning Big Data – Day 1 of 21

  - by Pinal Dave

  What is Big Data? I want to learn Big Data. I have no clue where and how to start learning about it. Does Big Data really means data is big? What are the tools and software I need to know to learn Big Data? I often receive questions which I mentioned above. They are good questions and honestly when we search online, it is hard to find authoritative and authentic answers. I have been working with Big Data and NoSQL for a while and I have decided that I will attempt to discuss this subject over here in the blog. In the next 21 days we will understand what is so big about Big Data. Big Data – Big Thing! Big Data is becoming one of the most talked about technology trends nowadays. The real challenge with the big organization is to get maximum out of the data already available and predict what kind of data to collect in the future. How to take the existing data and make it meaningful that it provides us accurate insight in the past data is one of the key discussion points in many of the executive meetings in organizations. With the explosion of the data the challenge has gone to the next level and now a Big Data is becoming the reality in many organizations. Big Data – A Rubik’s Cube I like to compare big data with the Rubik’s cube. I believe they have many similarities. Just like a Rubik’s cube it has many different solutions. Let us visualize a Rubik’s cube solving challenge where there are many experts participating. If you take five Rubik’s cube and mix up the same way and give it to five different expert to solve it. It is quite possible that all the five people will solve the Rubik’s cube in fractions of the seconds but if you pay attention to the same closely, you will notice that even though the final outcome is the same, the route taken to solve the Rubik’s cube is not the same. Every expert will start at a different place and will try to resolve it with different methods. Some will solve one color first and others will solve another color first. Even though they follow the same kind of algorithm to solve the puzzle they will start and end at a different place and their moves will be different at many occasions. It is  nearly impossible to have a exact same route taken by two experts. Big Market and Multiple Solutions Big Data is exactly like a Rubik’s cube – even though the goal of every organization and expert is same to get maximum out of the data, the route and the starting point are different for each organization and expert. As organizations are evaluating and architecting big data solutions they are also learning the ways and opportunities which are related to Big Data. There is not a single solution to big data as well there is not a single vendor which can claim to know all about Big Data. Honestly, Big Data is too big a concept and there are many players – different architectures, different vendors and different technology. What is Next? In this 31 days series we will be exploring many essential topics related to big data. I do not claim that you will be master of the subject after 31 days but I claim that I will be covering following topics in easy to understand language. Architecture of Big Data Big Data a Management and Implementation Different Technologies – Hadoop, Mapreduce Real World Conversations Best Practices Tomorrow In tomorrow’s blog post we will try to answer one of the very essential questions – What is Big Data? 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

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