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  • WebSocket Applications using Java: JSR 356 Early Draft Now Available (TOTD #183)

    - by arungupta
    WebSocket provide a full-duplex and bi-directional communication protocol over a single TCP connection. JSR 356 is defining a standard API for creating WebSocket applications in the Java EE 7 Platform. This Tip Of The Day (TOTD) will provide an introduction to WebSocket and how the JSR is evolving to support the programming model. First, a little primer on WebSocket! WebSocket is a combination of IETF RFC 6455 Protocol and W3C JavaScript API (still a Candidate Recommendation). The protocol defines an opening handshake and data transfer. The API enables Web pages to use the WebSocket protocol for two-way communication with the remote host. Unlike HTTP, there is no need to create a new TCP connection and send a chock-full of headers for every message exchange between client and server. The WebSocket protocol defines basic message framing, layered over TCP. Once the initial handshake happens using HTTP Upgrade, the client and server can send messages to each other, independent from the other. There are no pre-defined message exchange patterns of request/response or one-way between client and and server. These need to be explicitly defined over the basic protocol. The communication between client and server is pretty symmetric but there are two differences: A client initiates a connection to a server that is listening for a WebSocket request. A client connects to one server using a URI. A server may listen to requests from multiple clients on the same URI. Other than these two difference, the client and server behave symmetrically after the opening handshake. In that sense, they are considered as "peers". After a successful handshake, clients and servers transfer data back and forth in conceptual units referred as "messages". On the wire, a message is composed of one or more frames. Application frames carry payload intended for the application and can be text or binary data. Control frames carry data intended for protocol-level signaling. Now lets talk about the JSR! The Java API for WebSocket is worked upon as JSR 356 in the Java Community Process. This will define a standard API for building WebSocket applications. This JSR will provide support for: Creating WebSocket Java components to handle bi-directional WebSocket conversations Initiating and intercepting WebSocket events Creation and consumption of WebSocket text and binary messages The ability to define WebSocket protocols and content models for an application Configuration and management of WebSocket sessions, like timeouts, retries, cookies, connection pooling Specification of how WebSocket application will work within the Java EE security model Tyrus is the Reference Implementation for JSR 356 and is already integrated in GlassFish 4.0 Promoted Builds. And finally some code! The API allows to create WebSocket endpoints using annotations and interface. This TOTD will show a simple sample using annotations. A subsequent blog will show more advanced samples. A POJO can be converted to a WebSocket endpoint by specifying @WebSocketEndpoint and @WebSocketMessage. @WebSocketEndpoint(path="/hello")public class HelloBean {     @WebSocketMessage    public String sayHello(String name) {         return "Hello " + name + "!";     }} @WebSocketEndpoint marks this class as a WebSocket endpoint listening at URI defined by the path attribute. The @WebSocketMessage identifies the method that will receive the incoming WebSocket message. This first method parameter is injected with payload of the incoming message. In this case it is assumed that the payload is text-based. It can also be of the type byte[] in case the payload is binary. A custom object may be specified if decoders attribute is specified in the @WebSocketEndpoint. This attribute will provide a list of classes that define how a custom object can be decoded. This method can also take an optional Session parameter. This is injected by the runtime and capture a conversation between two endpoints. The return type of the method can be String, byte[] or a custom object. The encoders attribute on @WebSocketEndpoint need to define how a custom object can be encoded. The client side is an index.jsp with embedded JavaScript. The JSP body looks like: <div style="text-align: center;"> <form action="">     <input onclick="say_hello()" value="Say Hello" type="button">         <input id="nameField" name="name" value="WebSocket" type="text"><br>    </form> </div> <div id="output"></div> The code is relatively straight forward. It has an HTML form with a button that invokes say_hello() method and a text field named nameField. A div placeholder is available for displaying the output. Now, lets take a look at some JavaScript code: <script language="javascript" type="text/javascript"> var wsUri = "ws://localhost:8080/HelloWebSocket/hello";     var websocket = new WebSocket(wsUri);     websocket.onopen = function(evt) { onOpen(evt) };     websocket.onmessage = function(evt) { onMessage(evt) };     websocket.onerror = function(evt) { onError(evt) };     function init() {         output = document.getElementById("output");     }     function say_hello() {      websocket.send(nameField.value);         writeToScreen("SENT: " + nameField.value);     } This application is deployed as "HelloWebSocket.war" (download here) on GlassFish 4.0 promoted build 57. So the WebSocket endpoint is listening at "ws://localhost:8080/HelloWebSocket/hello". A new WebSocket connection is initiated by specifying the URI to connect to. The JavaScript API defines callback methods that are invoked when the connection is opened (onOpen), closed (onClose), error received (onError), or a message from the endpoint is received (onMessage). The client API has several send methods that transmit data over the connection. This particular script sends text data in the say_hello method using nameField's value from the HTML shown earlier. Each click on the button sends the textbox content to the endpoint over a WebSocket connection and receives a response based upon implementation in the sayHello method shown above. How to test this out ? Download the entire source project here or just the WAR file. Download GlassFish4.0 build 57 or later and unzip. Start GlassFish as "asadmin start-domain". Deploy the WAR file as "asadmin deploy HelloWebSocket.war". Access the application at http://localhost:8080/HelloWebSocket/index.jsp. After clicking on "Say Hello" button, the output would look like: Here are some references for you: WebSocket - Protocol and JavaScript API JSR 356: Java API for WebSocket - Specification (Early Draft) and Implementation (already integrated in GlassFish 4 promoted builds) Subsequent blogs will discuss the following topics (not necessary in that order) ... Binary data as payload Custom payloads using encoder/decoder Error handling Interface-driven WebSocket endpoint Java client API Client and Server configuration Security Subprotocols Extensions Other topics from the API Capturing WebSocket on-the-wire messages

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  • ETPM Environment Health Monitoring Tools

    - by Paula Speranza-Hadley
    This post is to provide some useful information about the tools typically used by Oracle ETPM implementations for performance tuning and analysis.   This includes tools to monitor and gather performance information and statistics on the Database, Application Server, and Client (browser).  Enterprise Monitoring Tools Oracle Enterprise Manager - OEM Grid Control comes with a comprehensive set of performance and health metrics that allow monitoring of key components in your environment such as applications, application servers, databases, as well as the back-end components on which they rely, such as hosts, operating systems and storage. Tools for the Database Oracle Diagnostics Pack Automatic Workload Repository (AWR)  - this tool gets statistics from memory abut the Time Model or DB Time, Wait Events, Active Session History and High Load SWL queries Automatic Database Diagnostic Monitor (ADDM) - This self-diagnostic software is built into the database.  It examines and analyzes data captured in AWR to dertermine possible performance issues.  It locates the root cause of the issue, provides recommendations for correcting the issues and qualifies the expected benefit. Oracle Database Tuning Pack SQL Tuning Advisor - This enables you to submit one or more SQL statements as input and receive output in the form of specific advice or recommendations on how to tune statements.  The recommendation relates to collection of statistics on objects, creation on new indexes and restructuring of SQL statements. SQL Access Advisor - This enables you to optimize data access paths of SQL queries by recommending a proper set of materialized views, indexes and partitions for a given SQL workload. Tools for the Application Server Weblogic Console - is a web-based, user interface used to configure and control a set of WebLogic servers or clusters (i.e. a "domain").  In any logical group of WebLogic servers there must exist one admin server, which hosts the WebLogic Admin console application and manages the associated configuratoin files. WebLogic Administrators will use the Administration Console for a number of tasks, including: Starting and stopping WebLogic servers or entire clusters. Configuring server parameters, security, database connections and deployed applications. Viewing server status, health and metrics. Yourkit for Profiling - helps analyze synchronization issues, including: Which threads were calling wait(), and for how long Which threads were blocked on attempt to acquire a monitor held by another thread (synchronized methods/blocks), and for how long Tools for the Client Fiddler - allows you to inspect traffic logs, debug and set breakpoints. Firebug – allows you to inspect and edit HTML, monitor network activity and debug JavaScript

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  • % new visitor vs. % returning visitor

    - by Torben Gundtofte-Bruun
    I'm not sure how to interpret the results in Google Analytics. I understand that some metrics should be high, and some should be low. But this one I don't get: % new visitor vs. % returning visitor: It's good that users are returning, but surely it's also good to get new, fresh visitors. How do I evaluate this %-vs-% ratio? The higher the better: visits unique visitors pageviews pages per visit avg. visit duration The lower the better: bounce rate drop-offs

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  • SQL Rally Presentations

    - by AllenMWhite
    As I drove to Dallas for this year's SQL Rally conference (yes, I like to drive) I got a call asking if I could step in for another presenter who had to cancel at the last minute. Life happens, and it's best to be flexible, and I said sure, I can do that. Which presentation would you like me to do? (I'd submitted a few presentations, so it wasn't a problem.) So yesterday I presented "Gathering Performance Metrics With PowerShell" at 8:45AM, and my newest presentation, "Manage SQL Server 2012 on Windows...(read more)

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  • Data Auditor by Example

    - by Jinjin.Wang
    OWB has a node Data Auditors under Oracle Module in Projects Navigator. What is data auditor and how to use it? I will give an introduction to data auditor and show its usage by examples. Data auditor is an important tool in ensuring that data quality levels meet business requirements. Data auditor validates data against a set of data rules to determine which records comply and which do not. It gathers statistical metrics on how well the data in a system complies with a rule by auditing and marking how many errors are occurring against the audited table. Data auditors are typically scheduled for regular execution as part of a process flow, to monitor the quality of the data in an operational environment such as a data warehouse or ERP system, either immediately after updates like data loads, or at regular intervals. How to use data auditor to monitor data quality? Only objects with data rules can be monitored, so the first step is to define data rules according to business requirements and apply them to the objects you want to monitor. The objects can be tables, views, materialized views, and external tables. Secondly create a data auditor containing the objects. You can configure the data auditor and set physical deployment parameters for it as optional, which will be used while running the data auditor. Then deploy and run the data auditor either manually or as part of the process flow. After execution, the data auditor sets several output values, and records that are identified as not complying with the defined data rules contained in the data auditor are written to error tables. Here is an example. We have two tables DEPARTMENTS and EMPLOYEES (see pic-1 and pic-2. Click here for DDL and data) imported into OWB. We want to gather statistical metrics on how well data in these two tables satisfies the following requirements: a. Values of the EMPLOYEES.EMPLOYEE_ID attribute are three-digit numbers. b. Valid values for EMPLOYEES.JOB_ID are IT_PROG, SA_REP, SH_CLERK, PU_CLERK, and ST_CLERK. c. EMPLOYEES.EMPLOYEE_ID is related to DEPARTMENTS.MANAGER_ID. Pic-1 EMPLOYEES Pic-2 DEPARTMENTS 1. To determine legal data within EMPLOYEES or legal relationships between data in different columns of the two tables, firstly we define data rules based on the three requirements and apply them to tables. a. The first requirement is about patterns that an attribute is allowed to conform to. We create a Domain Pattern List data rule EMPLOYEE_PATTERN_RULE here. The pattern is defined in the Oracle Database regular expression syntax as ^([0-9]{3})$ Apply data rule EMPLOYEE_PATTERN_RULE to table EMPLOYEES.

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  • How exactly is Google Webmaster Tools measuring "Site Performance"?

    - by Rémi
    I've been working for two months now on improving our response time (mainly server side) on a new forum (a brand new product on a technical point of view) we've launched in Germany a few month ago and I'm a lot surprised by the results I get. I monitor our response time using Apache logs and our own implementation of Boomerang beacon. Using my stats, I can see that our new product responds in about 680 ms where our old product was responding in about 1050 ms. On the other side, Google Webmaster Tool tells us that our pages have an average reponse time of about 1500 ms today where it was 700 three months ago with our old product. I've figured that GWT was taking client side metrics into account so I've added some measures on our Boomerang beacon and everything looks just fine. I've also ran some random pages on ySlow and Google's Page Speed and everything looks better than it was before. We event have a 82% on Google's Page Speed tool which is quite cool for a site with some ads in it :) Lately, we have signed a deal with Akamai to use two of their products : CDN for our static files (we were using another CDN before but it wasn't very effective) and RMA to improve Networks routes. We have also introduced a new agressive cache mecanism to ensure that most of the pages served to crawlers are cached by our memcache grid. After checking my metrics, it seems that this changes have improved from 650ms to about 500ms, which is good (still not great but it is definitly an improvement). But webmaster tools continues to report an increasing average response time where we see it decreasing in the same time. Have you ever had the same kind of wierd behavior on your sites while doing performance improvements ? Do you have any idea how to monitor the same thing Google does with Site Performance in Google Webmaster Tools so that we could improve our site and constantly check if it is what Google wants ? Edit 2011/07/26 : Thanks for your answers guys ! Nevertheless, I was not precise enough. The main issue we have is not with the Site Performance page but with the Crawl Stats one for now. We probably found an issue on our side with some very slow pages (around 3000 ms !!) and we are trying to fix them. I'll keep you posted as soon I'll have some infos. Thanks again !

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  • Presenting Loading Data Warehouse Partitions with SSIS 2012 at SQL Saturday DC!

    - by andyleonard
    Join Darryll Petrancuri and me as we present Loading Data Warehouse Partitions with SSIS 2012 Saturday 8 Dec 2012 at SQL Saturday 173 in DC ! SQL Server 2012 table partitions offer powerful Big Data solutions to the Data Warehouse ETL Developer. In this presentation, Darryll Petrancuri and Andy Leonard demonstrate one approach to loading partitioned tables and managing the partitions using SSIS 2012, and reporting partition metrics using SSRS 2012. Objectives A practical solution for loading Big...(read more)

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  • Never update systems tables directly - a study in Agent job scheduling

    It is often recommended that system tables should not be updated directly. Presenting a case in point built around nightly job configuration in order to demonstrate the possible issues with updating system tables directly. What can SQL Monitor 3.2 monitor?Whatever you think is most important. Use custom metrics to monitor and alert on data that's most important for your environment. Find out more.

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  • Business Insight, IT Execution: 9 Project Management Tips

    - by Sylvie MacKenzie, PMP
    Excerpt from Profit Magazine - by David Rosenbaum When Marcos Baccetto was first asked to be the business-side project lead on Eaton Corporation’s Vehicle Group South America (VGSA) Oracle project, the operations services manager responsible for running manufacturing was, he confesses, “a little afraid” because of his lack of IT experience. Today, Baccetto calls the project “a fantastic experience,” and he is a true believer in the benefits of a close relationship between IT implementers and their line-of-business peers. Through his partnership with Jesiele Lima, then VGSA IT manager, Baccetto and Eaton’s South American operations team came to understand several important principles of business and IT. Here he shares nine tips managers should consider when working on an enterprise technology project. 1. Make it a business project, not an IT project. All levels of functional management must have ownership, responsibility, and accountability for the success of the implementation. 2. Share responsibility. Business owners should sign off on tests and data conversion. 3. Clean your data. Dedicating a team to improve core data quality prior to project launch can be a significant time-saver. 4. Select resources properly. Have functional people who can translate business needs to IT and can influence organizational change. 5. Manage scope. Follow project management methodologies and disciplines. 6. Adopt common processes, global solutions. Avoid customized, local solutions. The big-picture business goals can get lost in the details. 7. Implement processes prior to the go-live date. Change management can be key. Keep the workforce informed and train users in advance. 8. Define metrics milestones. Assume there will be a crisis during deployment. Having baseline metrics to compare against will help implementers keep their cool—and the project moving forward. 9. The sponsor’s commitment is critical. It is needed to support the truly difficult decisions.

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  • Social media measurement tools [on hold]

    - by user29187
    I work for a non-profit and we are currently trying to develop a system to measure and evaluate our social media platforms (Facebook and Twitter). We would liek to tarck a variety of social metrics, including, but not limited to: Twitter: # of followers, # of mentions, # of retweets Facebook: # of likes, # people talking about, # of page views We are currently using a paid platform for this. I wondered if there is a way to configure Google Analytics to do this or if there are any other free/clever or smart ways to track social engagement with our brand?

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  • A good resource to get the most out of Google Analytics

    - by glinch
    I was wondering if any one could offer me some advice as to the best resources out there (ideally books) on google analytics. I have a basic understanding but have a lot of room for improvement. The following book "Advanced Web Metrics with Google Analytics" by Brian Clifton, appears to be a good starting but but is already quite dated, even though published in march 2010. Any advice would be greatly appreciated.

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  • BI Applications overview

    - by sv744
    Welcome to Oracle BI applications blog! This blog will talk about various features, general roadmap, description of functionality and implementation steps related to Oracle BI applications. In the first post we start with an overview of the BI apps and will delve deeper into some of the topics below in the upcoming weeks and months. If there are other topics you would like us to talk about, pl feel free to provide feedback on that. The Oracle BI applications are a set of pre-built applications that enable pervasive BI by providing role-based insight for each functional area, including sales, service, marketing, contact center, finance, supplier/supply chain, HR/workforce, and executive management. For example, Sales Analytics includes role-based applications for sales executives, sales management, as well as front-line sales reps, each of whom have different needs. The applications integrate and transform data from a range of enterprise sources—including Siebel, Oracle, PeopleSoft, SAP, and others—into actionable intelligence for each business function and user role. This blog  starts with the key benefits and characteristics of Oracle BI applications. In a series of subsequent blogs, each of these points will be explained in detail. Why BI apps? Demonstrate the value of BI to a business user, show reports / dashboards / model that can answer their business questions as part of the sales cycle. Demonstrate technical feasibility of BI project and significantly lower risk and improve success Build Vs Buy benefit Don’t have to start with a blank sheet of paper. Help consolidate disparate systems Data integration in M&A situations Insulate BI consumers from changes in the OLTP Present OLTP data and highlight issues of poor data / missing data – and improve data quality and accuracy Prebuilt Integrations BI apps support prebuilt integrations against leading ERP sources: Fusion Applications, E- Business Suite, Peoplesoft, JD Edwards, Siebel, SAP Co-developed with inputs from functional experts in BI and Applications teams. Out of the box dimensional model to source model mappings Multi source and Multi Instance support Rich Data Model    BI apps have a very rich dimensionsal data model built over 10 years that incorporates best practises from BI modeling perspective as well as reflect the source system complexities  Thanks for reading a long post, and be on the lookout for future posts.  We will look forward to your valuable feedback on these topics as well as suggestions on what other topics would you like us to cover. I Conformed dimensional model across all business subject areas allows cross functional reporting, e.g. customer / supplier 360 Over 360 fact tables across 7 product areas CRM – 145, SCM – 47, Financials – 28, Procurement – 20, HCM – 27, Projects – 18, Campus Solutions – 21, PLM - 56 Supported by 300 physical dimensions Support for extensive calendars; Gregorian, enterprise and ledger based Conformed data model and metrics for real time vs warehouse based reporting  Multi-tenant enabled Extensive BI related transformations BI apps ETL and data integration support various transformations required for dimensional models and reporting requirements. All these have been distilled into common patterns and abstracted logic which can be readily reused across different modules Slowly Changing Dimension support Hierarchy flattening support Row / Column Hybrid Hierarchy Flattening As Is vs. As Was hierarchy support Currency Conversion :-  Support for 3 corporate, CRM, ledger and transaction currencies UOM conversion Internationalization / Localization Dynamic Data translations Code standardization (Domains) Historical Snapshots Cycle and process lifecycle computations Balance Facts Equalization of GL accounting chartfields/segments Standardized values for categorizing GL accounts Reconciliation between GL and subledgers to track accounted/transferred/posted transactions to GL Materialization of data only available through costly and complex APIs e.g. Fusion Payroll, EBS / Fusion Accruals Complex event Interpretation of source data – E.g. o    What constitutes a transfer o    Deriving supervisors via position hierarchy o    Deriving primary assignment in PSFT o    Categorizing and transposition to measures of Payroll Balances to specific metrics to support side by side comparison of measures of for example Fixed Salary, Variable Salary, Tax, Bonus, Overtime Payments. o    Counting of Events – E.g. converting events to fact counters so that for example the number of hires can easily be added up and compared alongside the total transfers and terminations. Multi pass processing of multiple sources e.g. headcount, salary, promotion, performance to allow side to side comparison. Adding value to data to aid analysis through banding, additional domain classifications and groupings to allow higher level analytical reporting and data discovery Calculation of complex measures examples: o    COGs, DSO, DPO, Inventory turns  etc o    Transfers within a Hierarchy or out of / into a hierarchy relative to view point in hierarchy. Configurability and Extensibility support  BI apps offer support for extensibility for various entities as automated extensibility or part of extension methodology Key Flex fields and Descriptive Flex support  Extensible attribute support (JDE)  Conformed Domains ETL Architecture BI apps offer a modular adapter architecture which allows support of multiple product lines into a single conformed model Multi Source Multi Technology Orchestration – creates load plan taking into account task dependencies and customers deployment to generate a plan based on a customers of multiple complex etl tasks Plan optimization allowing parallel ETL tasks Oracle: Bit map indexes and partition management High availability support    Follow the sun support. TCO BI apps support several utilities / capabilities that help with overall total cost of ownership and ensure a rapid implementation Improved cost of ownership – lower cost to deploy On-going support for new versions of the source application Task based setups flows Data Lineage Functional setup performed in Web UI by Functional person Configuration Test to Production support Security BI apps support both data and object security enabling implementations to quickly configure the application as per the reporting security needs Fine grain object security at report / dashboard and presentation catalog level Data Security integration with source systems  Extensible to support external data security rules Extensive Set of KPIs Over 7000 base and derived metrics across all modules Time series calculations (YoY, % growth etc) Common Currency and UOM reporting Cross subject area KPIs (analyzing HR vs GL data, drill from GL to AP/AR, etc) Prebuilt reports and dashboards 3000+ prebuilt reports supporting a large number of industries Hundreds of role based dashboards Dynamic currency conversion at dashboard level Highly tuned Performance The BI apps have been tuned over the years for both a very performant ETL and dashboard performance. The applications use best practises and advanced database features to enable the best possible performance. Optimized data model for BI and analytic queries Prebuilt aggregates& the ability for customers to create their own aggregates easily on warehouse facts allows for scalable end user performance Incremental extracts and loads Incremental Aggregate build Automatic table index and statistics management Parallel ETL loads Source system deletes handling Low latency extract with Golden Gate Micro ETL support Bitmap Indexes Partitioning support Modularized deployment, start small and add other subject areas seamlessly Source Specfic Staging and Real Time Schema Support for source specific operational reporting schema for EBS, PSFT, Siebel and JDE Application Integrations The BI apps also allow for integration with source systems as well as other applications that provide value add through BI and enable BI consumption during operational decision making Embedded dashboards for Fusion, EBS and Siebel applications Action Link support Marketing Segmentation Sales Predictor Dashboard Territory Management External Integrations The BI apps data integration choices include support for loading extenral data External data enrichment choices : UNSPSC, Item class etc. Extensible Spend Classification Broad Deployment Choices Exalytics support Databases :  Oracle, Exadata, Teradata, DB2, MSSQL ETL tool of choice : ODI (coming), Informatica Extensible and Customizable Extensible architecture and Methodology to add custom and external content Upgradable across releases

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  • Wha is an acceptable level of FPS in browser workslow editor?

    - by Theo Walcott
    I'm developing a diagraming tool and need some metrics to test it against. Unfortunately I couldn't find information regarding an average acceptable FPS level for this kind of web apps. We all know such levels for action games (which is 60fps minimum), 25fps for videostreaming. Can anyone give me some information reagarding minimal FPS level for drawing web apps? What tools would you recomend to test my app?

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  • Presenting Loading Data Warehouse Partitions with SSIS 2012 at SQL Saturday DC!

    - by andyleonard
    Join Darryll Petrancuri and me as we present Loading Data Warehouse Partitions with SSIS 2012 Saturday 8 Dec 2012 at SQL Saturday 173 in DC ! SQL Server 2012 table partitions offer powerful Big Data solutions to the Data Warehouse ETL Developer. In this presentation, Darryll Petrancuri and Andy Leonard demonstrate one approach to loading partitioned tables and managing the partitions using SSIS 2012, and reporting partition metrics using SSRS 2012. Objectives A practical solution for loading Big...(read more)

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  • Maximizing the Value of Software

    - by David Dorf
    A few years ago we decided to increase our investments in documenting retail processes and architectures.  There were several goals but the main two were to help retailers maximize the value they derive from our software and help system integrators implement our software faster.  The sale is only part of our success metric -- its actually more important that the customer realize the benefits of the software.  That's when we actually celebrate. This week many of our customers are gathered in Chicago to discuss their successes during our annual Crosstalk conference.  That provides the perfect forum to announce the release of the Oracle Retail Reference Library.  The RRL is available for free to Oracle Retail customers and partners.  It contains 1000s of hours of work and represents years of experience in the retail industry.  The Retail Reference Library is composed of three offerings: Retail Reference Model We've been sharing the RRM for several years now, with lots of accolades.  The RRM is a set of business process diagrams at varying levels of granularity. This release marks the debut of Visio documents, which should make it easier for retailers to adopt and edit the diagrams.  The processes represent an approximation of the Oracle Retail software, but at higher levels they are pretty generic and therefore usable with other software as well.  Using these processes, the business and IT are better able to communicate the expectations of the software.  They can be used to guide customization when necessary, and help identify areas for optimization in the organization. Retail Reference Architecture When embarking on a software implementation project, it can be daunting to start from a blank sheet of paper.  So we offer the RRA, a comprehensive set of documents that describe the retail enterprise in terms of logical architecture, physical deployments, and systems integration.  These documents and diagrams describe how all the systems typically found in a retailer enterprise work together.  They serve as a way to jump-start implementations using best practices we've captured over the years. Retail Semantic Glossary Have you ever seen two people argue over something because they're using misaligned terminology?  Its a huge waste and happens all the time.  The Retail Semantic Glossary is a simple application that allows retailers to define terms and metrics in a centralized database.  This initial version comes with limited content with the goal of adding more over subsequent releases.  This is the single source for defining key performance indicators, metrics, algorithms, and terms so that the retail organization speaks in a consistent language. These three offerings are downloaded from MyOracleSupport separately and linked together using the start page above.  Everything is navigated using a Web browser.  See the Oracle Retail Documentation blog for more details.

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  • Take the CedarCrestone HR Systems Survey!

    - by jay.richey
    Oracle, on behalf of CedarCrestone, invites you to participate in CedarCrestone's 2010-2011 HR Systems Survey: HR Technologies, Service Delivery Choices, and Metrics Survey, 13th Annual Edition through July 5, 2010. The survey is a comprehensive research effort designed to provide organizations with important data to plan, justify, benchmark, and execute HR technologies. All responses are anonymous and will be kept confidential. They are not shared with Oracle. http://www.oracle.com/dm/10q4field/50384_hr_systems_survey.html

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  • What is an acceptable level of FPS in browser workslow editor?

    - by Theo Walcott
    I'm developing a diagraming tool and need some metrics to test it against. Unfortunately I couldn't find information regarding an average acceptable FPS level for this kind of web apps. We all know such levels for action games (which is 60fps minimum), 25fps for videostreaming. Can anyone give me some information reagarding minimal FPS level for drawing web apps? What tools would you recomend to test my app?

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  • [Speaking] Presenting at AITP Region 18 IT Con

    - by AllenMWhite
    The IT Con event this Saturday, June 18, is an event similar to SQL Saturday. It has three tracks, an IT Professional track, a Development track and a Career Development track. I'll be presenting two sessions in the IT Professional track. Gather SQL Server Performance Data with PowerShell We all know how important it is to keep a baseline of performance metrics that allow us to know when something is wrong and help us to track it down and fix the problem. We don't always know how to do this easily...(read more)

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  • Behind the Code: The Analytics Mobile SDK

    Behind the Code: The Analytics Mobile SDK The new Google Analytics Mobile SDK empowers Android and iOS developers to effectively collect user engagement data from their applications to measure active user counts, user geography, new feature adoption and many other useful metrics. Join Analytics Developer Program Engineer Andrew Wales and Analytics Software Engineer Jim Cotugno for an unprecedented look behind the code at the goals, design, and architecture of the new SDK to learn more about what it takes to build world-class technology. From: GoogleDevelopers Views: 0 1 ratings Time: 30:00 More in Science & Technology

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  • Google Analytics on Demo Site

    - by Josh Smith
    Will adding the UA code of the live site to a revision site affect anything adversely? They are, technically, two different sites with different metrics. I don't want to lose the old data when I initiate the new site, of course. I would also like to work on setting up the new analytics page while the revision site is in development. Does anyone have any good workflows on setting up a revision site without losing old site data?

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  • Google Analytics: Why is Avg Time on Site lower than Avg time on Page?

    - by Melanie
    I have the following Custom Report set up in Google Analytics: Metrics: Avg Time on Page Avg Time on Site Dimensions: Page So a report looks like this: Page Avg Time on Page Avg Time on Site /an-article 00:03:14 00:00:11 /another-article 00:05:11 00:01:07 /something-written 00:03:00 00:00:31 Why is it that for each 'page', the 'site views' are significantly lower?

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  • SEO For Boring Products - Four Content Ideas to Promote the Plain and the Dull

    As search engine marketing and social media networks converge it is becoming more and more important to create valid, exciting and engaging content. Both from a branding point of view and for the more measurable metrics of SEO, being able to mobilize the marketplace to do your bidding (either to tell their friends about you or to give you a link back) through genuinely interesting content is the most important aspect of online marketing.

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  • Practical PowerShell for SQL Server Developers and DBAs – Part 2

    Having shown just how useful PowerShell can be for DBAs in executing queries, Michael Sorens now takes us through navigating SQL Server space and finding meta-information - valuable information for anyone looking to be more productive in SQL Server. What can SQL Monitor 3.2 monitor?Whatever you think is most important. Use custom metrics to monitor and alert on data that's most important for your environment. Find out more.

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  • I have a performance problem

    - by Alan
    (copied from my wordpress blog). So start 95% of the performance calls that I receive. They usually continue something like: I have gathered some *stat data for you (eg the guds tool from Document 1285485.1), can you please root cause our problem? So, do you think you could? Neither can I, based on this my answer inevitably has to be "No". Given this kind of problem statement, I have no idea about the expectations, the boundary conditions, or even the application. The answer may as well be "Performance problems? Consult your local Doctor for Viagra". It's really not a lot to go on. So, What kind of problem description is going to allow me to start work on the issue that is being seen? I don't doubt that there really is an issue, it just needs to be pinned down somewhat. What behavior exactly are you expecting to see? Be specific and use business metrics. For example "run-time", "response-time" and "throughput". This helps us define exit criterea. Now, let's look at the system that is having problems. How is what you are seeing different? Use the same type of metrics. The answers to these two questions take us a long way towards being able to work a call. Even more helpful are answers to questions like Has this system ever worked to expectation? If so, when did it start exhibiting this behavior? Is the problem always present, or does it sometimes work to expectation? If it sometimes works to expectation, when are you seeing the problem? Is there any discernible pattern? Is the impact of the problem getting better, worse, or remaining constant? What kind of differences are there between when the system was performing to expectation and when it is not? Are there other machines where we could expect to see the same issue (eg similar usage and load), but are not? Again, differences? Once we start to gather information like this we start to build up a much clearer picture of exactly what we need to investigate, and what we need to achieve so that both you and me agree that the problem has been solved. Please help get that figure of poorly defined problem statements down from it's current 95% value.

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  • Google analytics campaign advice

    - by Drewsdesign
    I am buying traffic from a broker not one source and sending to various landing pages. I would like to know the best way to structure a campaign so I can find which referrering site/url is performing the best (time on site, bounce etc) Should the utm_campaign be the 'brokername' and the utm_source be the 'landingpagename' or should this be the other way around? Also what would be the best way to create a custom report to show all the referrers metrics by each landing page ? Thank guys really appreciate any help on this.

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