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  • 2012 Oracle Fusion Innovation Awards - Part 2

    - by Michelle Kimihira
    Author: Moazzam Chaudry Continuing from Friday's blog on 2012 Oracle Fusion Innovation Awards, this blog (Part 2) will provide more details around the customers. It was a tremendous honor to be in single room of winners. We only wish we could have had more time to share stories from all the winners.  We received great insight from all the innovative solutions that our customers deploy and would like to share them broadly, so that others can benefit from best practices. There was a customer panel session joined by Ingersoll Rand, Nike and Motability and here is what was discussed: Barry Bonar, Enterprise Architect from Ingersoll Rand shared details around their solution, comprised of Oracle Exalogic, Oracle WebLogic Server and Oracle SOA Suite. This combined solutoin enabled their business transformation to increase decision-making, speed and efficiency, resulting in 40% reduced IT spend, 41X Faster response time and huge cost savings. Ashok Balakrishnan, Architect from Nike shared how they leveraged Oracle Coherence to analyze their digital "footprint" of activities. This helps them compete, collaborate and compare athletic data over time. Lastly, Ashley Doodly, Head of IT from Motability shared details around their solution compromised of Oracle SOA Suite, Service Bus, ADF, Coherence, BO and E-Business Suite. This solution helped Motability achieve 100% ROI within the first few months, performance in seconds vs. 10's of minutes and tremendous improvement in throughput that increased up to 50%.  This year's winners by category are: Oracle Exalogic Customer Results using Fusion Middleware Netshoes ATG on Exalogic: 6X Reduced H/W foot print, 6.2X increased throughput and 3 weeks time to market Claro Part of America Movil, running mission critical Java Application on Exalogic with 35X Faster Java response time, 5X Throughput Underwriters Laboratories Exalogic as an Apps Consolidation platform to power tremendous growth Ingersoll Rand EBS on Exalogic: Up to 40% Reduction in overall IT budget, 3x reduced foot print Oracle Cloud Application Foundation Customer Results using Fusion Middleware  Mazda Motor Corporation Tuxedo ART Batch runtime environment to migrate their batch apps on new open environment and reduce main frame cost. HOTELBEDS Technology Open Source to WebLogic transformation Globalia Corporation Introduced Oracle Coherence to fully reengineer DTH system and provide multiple business and technical benefits Nike Nike+, digital sports platform, has 8M users and is expecting an 5X increase in users, many of who will carry multiple devices that frequently sync data with the Digital Sport platform Comcast Corporation The solution is expected to increase availability, continuity, performance, and simplify and make the code at the application layer more flexible. Oracle SOA and Oracle BPM Customer Results using Fusion Middleware NTT Docomo Network traffic solution based on Oracle event processing and coherence - massive in scale: 12M users (50M in future) - 800,000 events/sec. Schneider National, Inc. SOA/B2B/ADF/Data Integration to orchestrate key order processes across Siebel, OTM & EBS.  Platform runs 60M trans/day and  50 million composite SOA instances per day across 10G and 11G Amadeus Oracle BPM solution: Business Rules and processes vary across local (80), regional (~10) and corporate approval process. Up to 10 levels of approval. Plans to deploy across 20+ markets Navitar SOA solution integrates a fully non-Oracle legacy application/ERP environment using Oracle’s SOA Suite and Oracle AIA Foundation Pack. Motability Uses SOA Suite to synchronize data across the systems and to manage the vehicle remarketing process Oracle WebCenter Customer Results using Fusion Middleware  News Limited Single platform running websites for 50% of Australia's newspapers University of Louisville “Facebook for Medicine”: Oracle Webcenter platform and Oracle BIEE to analyze patient test data and uncover potential health issues. Expecting annualized ROI of 277% China Mobile Jiangsu Company portal (25k users) to drive collaboration & productivity Life Technologies Portal for remotely monitoring & repairing biotech instruments LA Dept. of Water & Power Oracle WebCenter Portal to power ladwp.com on desktop and mobile for 1.6million users Oracle Identity Management Customer Results using Fusion Middleware Education Testing Service Identity Management platform for provisioning & SSO of 6 million GRE, GMAT, TOEFL customers Avea Oracle Identity Manager allowing call center personnel to quickly change Identity Profile to handle varying call loads based on a user self service interface. Decreased Admin Cost by 30% Oracle Data Integration Customer Results using Fusion Middleware Raymond James Near real-time integration for improved systems (throughput & performance) and enhanced operational flexibility in a 24 X 7 environment Wm Morrison Supermarkets Electronic Point of Sale integration handling over 80 million transactions a day in near real time (15 min intervals) Oracle Application Development Framework and Oracle Fusion Development Customer Results using Fusion Middleware Qualcomm Incorporated Solution providing  immediate business value enabling a self-service model necessary for growing the new customer base, an increase in customer satisfaction, reduced “time-to-deliver” Micros Systems, Inc. ADF, SOA Suite, WebCenter  enables services that include managing distribution of hotel rooms availability and rates to channels such as Hotel Web-site, Expedia, etc. Marfin Egnatia Bank A new web 2.0 UI provides a much richer experience through the ADF solution with the end result being one of boosting end-user productivity    Business Analytics (Oracle BI, Oracle EPM, Oracle Exalytics) Customer Results using Fusion Middleware INC Research Self-service customer portal delivering 5–10% of the overall revenue - expected to grow fast with the BI solution Experian Reduction in Time to Complete the Financial Close Process Hologic Inc Solution, saving months of decision-making uncertainty! We look forward to seeing many more innovative nominations. The nominatation process for 2013 begins in April 2013.    Additional Information: Blog: Oracle WebCenter Award Winners Blog: Oracle Identity Management Winners Blog: Oracle Exalogic Winners Blog: SOA, BPM and Data Integration will be will feature award winners in its respective areas this week Subscribe to our regular Fusion Middleware Newsletter Follow us on Twitter and Facebook

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  • Advice for Storing and Displaying Dates and Times Across Different Time Zones

    A common question I receive from clients, colleagues, and 4Guys readers is for recommendations on how best to store and display dates and times in a data-driven web application. One of the challenges in storing and displaying dates in a web application is that it is quite likely that the visitors arriving at your site are not in the same time zone as your web server; moreover, it's very likely that your site attracts visitors from many different time zones from around the world. Consider an online messageboard site, like ASPMessageboard.com, where each of 1,000,000+ posts includes the date and time it was made. Imagine a user from New York leaves a post on April 7th at 4:30 PM and that the web server hosting the site is located in Dallas, Texas, which is one hour earlier than New York. When storing that post to the database do you record the post's date and time relative to the visitor (4:30 PM), the relative to the web server (3:30 PM), or some other value? And when displaying this post how do you show that date and time to a reader in San Francisco, which is three hours earlier than New York? Do you show the time relative to the person who made the post (4:30 PM), relative to the web server (3:30 PM), or relative to the user (1:30 PM)? And if you decide to store or display the date based on the poster's or visitor's time zone then how do you know their time zone and its offset? How do you account for daylight savings, and so on? This article provides guidance on how to store and display dates and times for visitors across different time zones and includes a demo that gives a working example of some of these techniques. Read on to learn more! Read More >

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  • WebLogic Server Performance and Tuning: Part II - Thread Management

    - by Gokhan Gungor
    WebLogic Server, like any other java application server, provides resources so that your applications use them to provide services. Unfortunately none of these resources are unlimited and they must be managed carefully. One of these resources is threads which are pooled to provide better throughput and performance along with the fast response time and to avoid deadlocks. Threads are execution points that WebLogic Server delivers its power and execute work. Managing threads is very important because it may affect the overall performance of the entire system. In previous releases of WebLogic Server 9.0 we had multiple execute queues and user defined thread pools. There were different queues for different type of work which had fixed number of execute threads.  Tuning of this thread pools and finding the proper number of threads was time consuming which required many trials. WebLogic Server 9.0 and the following releases use a single thread pool and a single priority-based execute queue. All type of work is executed in this single thread pool. Its size (thread count) is automatically decreased or increased (self-tuned). The new “self-tuning” system simplifies getting the proper number of threads and utilizing them.Work manager allows your applications to run concurrently in multiple threads. Work manager is a mechanism that allows you to manage and utilize threads and create rules/guidelines to follow when assigning requests to threads. We can set a scheduling guideline or priority a request with a work manager and then associate this work manager with one or more applications. At run-time, WebLogic Server uses these guidelines to assign pending work/requests to execution threads. The position of a request in the execute queue is determined by its priority. There is a default work manager that is provided. The default work manager should be sufficient for most applications. However there can be cases you want to change this default configuration. Your application(s) may be providing services that need mixture of fast response time and long running processes like batch updates. However wrong configuration of work managers can lead a performance penalty while expecting improvement.We can define/configure work managers at;•    Domain Level: config.xml•    Application Level: weblogic-application.xml •    Component Level: weblogic-ejb-jar.xml or weblogic.xml(For a specific web application use weblogic.xml)We can use the following predefined rules/constraints to manage the work;•    Fair Share Request Class: Specifies the average thread-use time required to process requests. The default is 50.•    Response Time Request Class: Specifies a response time goal in milliseconds.•    Context Request Class: Assigns request classes to requests based on context information.•    Min Threads Constraint: Limits the number of concurrent threads executing requests.•    Max Threads Constraint: Guarantees the number of threads the server will allocate to requests.•    Capacity Constraint: Causes the server to reject requests only when it has reached its capacity. Let’s create a work manager for our application for a long running work.Go to WebLogic console and select Environment | Work Managers from the domain structure tree. Click New button and select Work manager and click next. Enter the name for the work manager and click next. Then select the managed server instances(s) or clusters from available targets (the one that your long running application is deployed) and finish. Click on MyWorkManager, and open the Configuration tab and check Ignore Stuck Threads and save. This will prevent WebLogic to tread long running processes (that is taking more than a specified time) as stuck and enable to finish the process.

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  • ASP.NET Web API - Screencast series Part 2: Getting Data

    - by Jon Galloway
    We're continuing a six part series on ASP.NET Web API that accompanies the getting started screencast series. This is an introductory screencast series that walks through from File / New Project to some more advanced scenarios like Custom Validation and Authorization. The screencast videos are all short (3-5 minutes) and the sample code for the series is both available for download and browsable online. I did the screencasts, but the samples were written by the ASP.NET Web API team. In Part 1 we looked at what ASP.NET Web API is, why you'd care, did the File / New Project thing, and did some basic HTTP testing using browser F12 developer tools. This second screencast starts to build out the Comments example - a JSON API that's accessed via jQuery. This sample uses a simple in-memory repository. At this early stage, the GET /api/values/ just returns an IEnumerable<Comment>. In part 4 we'll add on paging and filtering, and it gets more interesting.   The get by id (e.g. GET /api/values/5) case is a little more interesting. The method just returns a Comment if the Comment ID is valid, but if it's not found we throw an HttpResponseException with the correct HTTP status code (HTTP 404 Not Found). This is an important thing to get - HTTP defines common response status codes, so there's no need to implement any custom messaging here - we tell the requestor that the resource the requested wasn't there.  public Comment GetComment(int id) { Comment comment; if (!repository.TryGet(id, out comment)) throw new HttpResponseException(HttpStatusCode.NotFound); return comment; } This is great because it's standard, and any client should know how to handle it. There's no need to invent custom messaging here, and we can talk to any client that understands HTTP - not just jQuery, and not just browsers. But it's crazy easy to consume an HTTP API that returns JSON via jQuery. The example uses Knockout to bind the JSON values to HTML elements, but the thing to notice is that calling into this /api/coments is really simple, and the return from the $.get() method is just JSON data, which is really easy to work with in JavaScript (since JSON stands for JavaScript Object Notation and is the native serialization format in Javascript). $(function() { $("#getComments").click(function () { // We're using a Knockout model. This clears out the existing comments. viewModel.comments([]); $.get('/api/comments', function (data) { // Update the Knockout model (and thus the UI) with the comments received back // from the Web API call. viewModel.comments(data); }); }); }); That's it! Easy, huh? In Part 3, we'll start modifying data on the server using POST and DELETE.

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  • Website Health Check - Keyword Blunders - Part 2

    Website Health Check is becoming an integral part of Search Engine Optimization (SEO). The reason is that it helps to find mistakes in websites that are commonly unnoticed. Eventually, it means the difference between coming up as the first or last result in a search engine query. A small part regarding keywords, such as keyword density, keyword stuffing, spelling errors, cloaking, etc., is explained here.

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  • Part 5, Moving Forum threads from CommunityServer to DotNetNuke

    - by Chris Hammond
    This is the fifth post in a series of blog posts about converting from CommunityServer to DotNetNuke. A brief background: I had a number of websites running on CommunityServer 2.1, I decided it was finally time to ditch CommunityServer due to the change in their licensing model and pricing that made it not good for the small guy. This series of blog posts is about how to convert your CommunityServer based sites to DotNetNuke . Previous Posts: Part 1: An Introduction Part 2: DotNetNuke Installation...(read more)

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  • WIF, ADFS 2 and WCF&ndash;Part 3: ADFS Setup

    - by Your DisplayName here!
    In part 1 of this series I briefly gave an overview of the ADFS / WS-Trust infrastructure. In part 2 we created a basic WCF service that uses ADFS for authentication. This part will walk you through the steps to register the service in ADFS 2. I could provide screenshots for all the wizard pages here – but since this is really easy – I just go through the necessary steps in textual form. Step 1 – Select Data Source Here you can decide if you want to import a federation metadata file that describes the service you want to register. In that case all necessary information is inside the metadata document and you are done. FedUtil (a tool that ships with WIF) can generate such metadata for the most simple cases. Another tool to create metadata can be found here. We choose ‘Manual’ here. Step 2 – Specify Display Name I guess that’s self explaining. Step 3 – Choose Profile Choose ‘ADFS 2 Profile’ here. Step 4 – Configure Certificate Remember that we specified a certificate (or rather a private key) to be used to decrypting incoming tokens in the previous post. Here you specify the corresponding public key that ADFS 2 should use for encrypting the token. Step 5 – Configure URL This page is used to configure WS-Federation and SAML 2.0p support. Since we are using WS-Trust you can leave both boxes unchecked. Step 6 – Configure Identifier Here you specify the identifier (aka the realm, aka the appliesTo) that will be used to request tokens for the service. This value will be used in the token request and is used by ADFS 2 to make a connection to the relying party configuration and claim rules. Step 7 – Configure Issuance Authorization Rules Here you can configure who is allowed to request token for the service. I won’t go into details here how these rules exactly work – that’s for a separate blog post. For now simply use the “Permit all users” option. OK – that’s it. The service is now registered at ADFS 2. In the next part we will finally look at the service client. Stay tuned…

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  • Google Python Class Day 2 Part 1

    Google Python Class Day 2 Part 1 Google Python Class Day 2 Part 1: Regular Expressions. By Nick Parlante. Support materials and exercises: code.google.com From: GoogleDevelopers Views: 18 0 ratings Time: 42:00 More in Science & Technology

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  • Part 4, Getting the conversion tables ready for CS to DNN

    - by Chris Hammond
    This is the fourth post in a series of blog posts about converting from CommunityServer to DotNetNuke. A brief background: I had a number of websites running on CommunityServer 2.1, I decided it was finally time to ditch CommunityServer due to the change in their licensing model and pricing that made it not good for the small guy. This series of blog posts is about how to convert your CommunityServer based sites to DotNetNuke . Previous Posts: Part 1: An Introduction Part 2: DotNetNuke Installation...(read more)

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  • Google Python Class Day 1 Part 3

    Google Python Class Day 1 Part 3 Google Python Class Day 1 Part 3: Dicts and Files. By Nick Parlante. Support materials and exercises: code.google.com From: GoogleDevelopers Views: 7 0 ratings Time: 28:59 More in Science & Technology

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  • Integration Patterns with Azure Service Bus Relay, Part 1: Exposing the on-premise service

    - by Elton Stoneman
    We're in the process of delivering an enabling project to expose on-premise WCF services securely to Internet consumers. The Azure Service Bus Relay is doing the clever stuff, we register our on-premise service with Azure, consumers call into our .servicebus.windows.net namespace, and their requests are relayed and serviced on-premise. In theory it's all wonderfully simple; by using the relay we get lots of protocol options, free HTTPS and load balancing, and by integrating to ACS we get plenty of security options. Part of our delivery is a suite of sample consumers for the service - .NET, jQuery, PHP - and this set of posts will cover setting up the service and the consumers. Part 1: Exposing the on-premise service In theory, this is ultra-straightforward. In practice, and on a dev laptop it is - but in a corporate network with firewalls and proxies, it isn't, so we'll walkthrough some of the pitfalls. Note that I'm using the "old" Azure portal which will soon be out of date, but the new shiny portal should have the same steps available and be easier to use. We start with a simple WCF service which takes a string as input, reverses the string and returns it. The Part 1 version of the code is on GitHub here: on GitHub here: IPASBR Part 1. Configuring Azure Service Bus Start by logging into the Azure portal and registering a Service Bus namespace which will be our endpoint in the cloud. Give it a globally unique name, set it up somewhere near you (if you’re in Europe, remember Europe (North) is Ireland, and Europe (West) is the Netherlands), and  enable ACS integration by ticking "Access Control" as a service: Authenticating and authorizing to ACS When we try to register our on-premise service as a listener for the Service Bus endpoint, we need to supply credentials, which means only trusted service providers can act as listeners. We can use the default "owner" credentials, but that has admin permissions so a dedicated service account is better (Neil Mackenzie has a good post On Not Using owner with the Azure AppFabric Service Bus with lots of permission details). Click on "Access Control Service" for the namespace, navigate to Service Identities and add a new one. Give the new account a sensible name and description: Let ACS generate a symmetric key for you (this will be the shared secret we use in the on-premise service to authenticate as a listener), but be sure to set the expiration date to something usable. The portal defaults to expiring new identities after 1 year - but when your year is up *your identity will expire without warning* and everything will stop working. In production, you'll need governance to manage identity expiration and a process to make sure you renew identities and roll new keys regularly. The new service identity needs to be authorized to listen on the service bus endpoint. This is done through claim mapping in ACS - we'll set up a rule that says if the nameidentifier in the input claims has the value serviceProvider, in the output we'll have an action claim with the value Listen. In the ACS portal you'll see that there is already a Relying Party Application set up for ServiceBus, which has a Default rule group. Edit the rule group and click Add to add this new rule: The values to use are: Issuer: Access Control Service Input claim type: http://schemas.xmlsoap.org/ws/2005/05/identity/claims/nameidentifier Input claim value: serviceProvider Output claim type: net.windows.servicebus.action Output claim value: Listen When your service namespace and identity are set up, open the Part 1 solution and put your own namespace, service identity name and secret key into the file AzureConnectionDetails.xml in Solution Items, e.g: <azure namespace="sixeyed-ipasbr">    <!-- ACS credentials for the listening service (Part1):-->   <service identityName="serviceProvider"            symmetricKey="nuR2tHhlrTCqf4YwjT2RA2BZ/+xa23euaRJNLh1a/V4="/>  </azure> Build the solution, and the T4 template will generate the Web.config for the service project with your Azure details in the transportClientEndpointBehavior:           <behavior name="SharedSecret">             <transportClientEndpointBehavior credentialType="SharedSecret">               <clientCredentials>                 <sharedSecret issuerName="serviceProvider"                               issuerSecret="nuR2tHhlrTCqf4YwjT2RA2BZ/+xa23euaRJNLh1a/V4="/>               </clientCredentials>             </transportClientEndpointBehavior>           </behavior> , and your service namespace in the Azure endpoint:         <!-- Azure Service Bus endpoints -->          <endpoint address="sb://sixeyed-ipasbr.servicebus.windows.net/net"                   binding="netTcpRelayBinding"                   contract="Sixeyed.Ipasbr.Services.IFormatService"                   behaviorConfiguration="SharedSecret">         </endpoint> The sample project is hosted in IIS, but it won't register with Azure until the service is activated. Typically you'd install AppFabric 1.1 for Widnows Server and set the service to auto-start in IIS, but for dev just navigate to the local REST URL, which will activate the service and register it with Azure. Testing the service locally As well as an Azure endpoint, the service has a WebHttpBinding for local REST access:         <!-- local REST endpoint for internal use -->         <endpoint address="rest"                   binding="webHttpBinding"                   behaviorConfiguration="RESTBehavior"                   contract="Sixeyed.Ipasbr.Services.IFormatService" /> Build the service, then navigate to: http://localhost/Sixeyed.Ipasbr.Services/FormatService.svc/rest/reverse?string=abc123 - and you should see the reversed string response: If your network allows it, you'll get the expected response as before, but in the background your service will also be listening in the cloud. Good stuff! Who needs network security? Onto the next post for consuming the service with the netTcpRelayBinding.  Setting up network access to Azure But, if you get an error, it's because your network is secured and it's doing something to stop the relay working. The Service Bus relay bindings try to use direct TCP connections to Azure, so if ports 9350-9354 are available *outbound*, then the relay will run through them. If not, the binding steps down to standard HTTP, and issues a CONNECT across port 443 or 80 to set up a tunnel for the relay. If your network security guys are doing their job, the first option will be blocked by the firewall, and the second option will be blocked by the proxy, so you'll get this error: System.ServiceModel.CommunicationException: Unable to reach sixeyed-ipasbr.servicebus.windows.net via TCP (9351, 9352) or HTTP (80, 443) - and that will probably be the start of lots of discussions. Network guys don't really like giving servers special permissions for the web proxy, and they really don't like opening ports, so they'll need to be convinced about this. The resolution in our case was to put up a dedicated box in a DMZ, tinker with the firewall and the proxy until we got a relay connection working, then run some traffic which the the network guys monitored to do a security assessment afterwards. Along the way we hit a few more issues, diagnosed mainly with Fiddler and Wireshark: System.Net.ProtocolViolationException: Chunked encoding upload is not supported on the HTTP/1.0 protocol - this means the TCP ports are not available, so Azure tries to relay messaging traffic across HTTP. The service can access the endpoint, but the proxy is downgrading traffic to HTTP 1.0, which does not support tunneling, so Azure can’t make its connection. We were using the Squid proxy, version 2.6. The Squid project is incrementally adding HTTP 1.1 support, but there's no definitive list of what's supported in what version (here are some hints). System.ServiceModel.Security.SecurityNegotiationException: The X.509 certificate CN=servicebus.windows.net chain building failed. The certificate that was used has a trust chain that cannot be verified. Replace the certificate or change the certificateValidationMode. The evocation function was unable to check revocation because the revocation server was offline. - by this point we'd given up on the HTTP proxy and opened the TCP ports. We got this error when the relay binding does it's authentication hop to ACS. The messaging traffic is TCP, but the control traffic still goes over HTTP, and as part of the ACS authentication the process checks with a revocation server to see if Microsoft’s ACS cert is still valid, so the proxy still needs some clearance. The service account (the IIS app pool identity) needs access to: www.public-trust.com mscrl.microsoft.com We still got this error periodically with different accounts running the app pool. We fixed that by ensuring the machine-wide proxy settings are set up, so every account uses the correct proxy: netsh winhttp set proxy proxy-server="http://proxy.x.y.z" - and you might need to run this to clear out your credential cache: certutil -urlcache * delete If your network guys end up grudgingly opening ports, they can restrict connections to the IP address range for your chosen Azure datacentre, which might make them happier - see Windows Azure Datacenter IP Ranges. After all that you've hopefully got an on-premise service listening in the cloud, which you can consume from pretty much any technology.

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  • Google Python Class Day 2 Part 2

    Google Python Class Day 2 Part 2 Google Python Class Day 2 Part 2: Utilities: OS and Commands. By Nick Parlante. Support materials and exercises: code.google.com From: GoogleDevelopers Views: 11 1 ratings Time: 20:20 More in Science & Technology

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  • Fraud Detection with the SQL Server Suite Part 2

    - by Dejan Sarka
    This is the second part of the fraud detection whitepaper. You can find the first part in my previous blog post about this topic. My Approach to Data Mining Projects It is impossible to evaluate the time and money needed for a complete fraud detection infrastructure in advance. Personally, I do not know the customer’s data in advance. I don’t know whether there is already an existing infrastructure, like a data warehouse, in place, or whether we would need to build one from scratch. Therefore, I always suggest to start with a proof-of-concept (POC) project. A POC takes something between 5 and 10 working days, and involves personnel from the customer’s site – either employees or outsourced consultants. The team should include a subject matter expert (SME) and at least one information technology (IT) expert. The SME must be familiar with both the domain in question as well as the meaning of data at hand, while the IT expert should be familiar with the structure of data, how to access it, and have some programming (preferably Transact-SQL) knowledge. With more than one IT expert the most time consuming work, namely data preparation and overview, can be completed sooner. I assume that the relevant data is already extracted and available at the very beginning of the POC project. If a customer wants to have their people involved in the project directly and requests the transfer of knowledge, the project begins with training. I strongly advise this approach as it offers the establishment of a common background for all people involved, the understanding of how the algorithms work and the understanding of how the results should be interpreted, a way of becoming familiar with the SQL Server suite, and more. Once the data has been extracted, the customer’s SME (i.e. the analyst), and the IT expert assigned to the project will learn how to prepare the data in an efficient manner. Together with me, knowledge and expertise allow us to focus immediately on the most interesting attributes and identify any additional, calculated, ones soon after. By employing our programming knowledge, we can, for example, prepare tens of derived variables, detect outliers, identify the relationships between pairs of input variables, and more, in only two or three days, depending on the quantity and the quality of input data. I favor the customer’s decision of assigning additional personnel to the project. For example, I actually prefer to work with two teams simultaneously. I demonstrate and explain the subject matter by applying techniques directly on the data managed by each team, and then both teams continue to work on the data overview and data preparation under our supervision. I explain to the teams what kind of results we expect, the reasons why they are needed, and how to achieve them. Afterwards we review and explain the results, and continue with new instructions, until we resolve all known problems. Simultaneously with the data preparation the data overview is performed. The logic behind this task is the same – again I show to the teams involved the expected results, how to achieve them and what they mean. This is also done in multiple cycles as is the case with data preparation, because, quite frankly, both tasks are completely interleaved. A specific objective of the data overview is of principal importance – it is represented by a simple star schema and a simple OLAP cube that will first of all simplify data discovery and interpretation of the results, and will also prove useful in the following tasks. The presence of the customer’s SME is the key to resolving possible issues with the actual meaning of the data. We can always replace the IT part of the team with another database developer; however, we cannot conduct this kind of a project without the customer’s SME. After the data preparation and when the data overview is available, we begin the scientific part of the project. I assist the team in developing a variety of models, and in interpreting the results. The results are presented graphically, in an intuitive way. While it is possible to interpret the results on the fly, a much more appropriate alternative is possible if the initial training was also performed, because it allows the customer’s personnel to interpret the results by themselves, with only some guidance from me. The models are evaluated immediately by using several different techniques. One of the techniques includes evaluation over time, where we use an OLAP cube. After evaluating the models, we select the most appropriate model to be deployed for a production test; this allows the team to understand the deployment process. There are many possibilities of deploying data mining models into production; at the POC stage, we select the one that can be completed quickly. Typically, this means that we add the mining model as an additional dimension to an existing DW or OLAP cube, or to the OLAP cube developed during the data overview phase. Finally, we spend some time presenting the results of the POC project to the stakeholders and managers. Even from a POC, the customer will receive lots of benefits, all at the sole risk of spending money and time for a single 5 to 10 day project: The customer learns the basic patterns of frauds and fraud detection The customer learns how to do the entire cycle with their own people, only relying on me for the most complex problems The customer’s analysts learn how to perform much more in-depth analyses than they ever thought possible The customer’s IT experts learn how to perform data extraction and preparation much more efficiently than they did before All of the attendees of this training learn how to use their own creativity to implement further improvements of the process and procedures, even after the solution has been deployed to production The POC output for a smaller company or for a subsidiary of a larger company can actually be considered a finished, production-ready solution It is possible to utilize the results of the POC project at subsidiary level, as a finished POC project for the entire enterprise Typically, the project results in several important “side effects” Improved data quality Improved employee job satisfaction, as they are able to proactively contribute to the central knowledge about fraud patterns in the organization Because eventually more minds get to be involved in the enterprise, the company should expect more and better fraud detection patterns After the POC project is completed as described above, the actual project would not need months of engagement from my side. This is possible due to our preference to transfer the knowledge onto the customer’s employees: typically, the customer will use the results of the POC project for some time, and only engage me again to complete the project, or to ask for additional expertise if the complexity of the problem increases significantly. I usually expect to perform the following tasks: Establish the final infrastructure to measure the efficiency of the deployed models Deploy the models in additional scenarios Through reports By including Data Mining Extensions (DMX) queries in OLTP applications to support real-time early warnings Include data mining models as dimensions in OLAP cubes, if this was not done already during the POC project Create smart ETL applications that divert suspicious data for immediate or later inspection I would also offer to investigate how the outcome could be transferred automatically to the central system; for instance, if the POC project was performed in a subsidiary whereas a central system is available as well Of course, for the actual project, I would repeat the data and model preparation as needed It is virtually impossible to tell in advance how much time the deployment would take, before we decide together with customer what exactly the deployment process should cover. Without considering the deployment part, and with the POC project conducted as suggested above (including the transfer of knowledge), the actual project should still only take additional 5 to 10 days. The approximate timeline for the POC project is, as follows: 1-2 days of training 2-3 days for data preparation and data overview 2 days for creating and evaluating the models 1 day for initial preparation of the continuous learning infrastructure 1 day for presentation of the results and discussion of further actions Quite frequently I receive the following question: are we going to find the best possible model during the POC project, or during the actual project? My answer is always quite simple: I do not know. Maybe, if we would spend just one hour more for data preparation, or create just one more model, we could get better patterns and predictions. However, we simply must stop somewhere, and the best possible way to do this, according to my experience, is to restrict the time spent on the project in advance, after an agreement with the customer. You must also never forget that, because we build the complete learning infrastructure and transfer the knowledge, the customer will be capable of doing further investigations independently and improve the models and predictions over time without the need for a constant engagement with me.

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    In part 5 of my series on the bin packing problem, I presented a method that sits somewhere in between the true row-by-row iterative characteristics of the first three parts and the truly set-based approach of the fourth part. I did use iteration, but each pass through the loop would use a set-based statement to process a lot of rows at once. Since that statement is fairly complex, I am sure that a single execution of it is far from cheap – but the algorithm used is efficient enough that the entire...(read more)

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