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  • PASS Data Architecture VC presents Neil Hambly on Improve Data Quality & Integrity using Constraints

    On Tuesday June 19th 12PM noon Central, Neil Hambly will discuss "Leveraging the power of constraints to improve both data quality and performance of your databases." What are your servers really trying to tell you? Find out with new SQL Monitor 3.0, an easy-to-use tool built for no-nonsense database professionals.For effortless insights into SQL Server, download a free trial today.

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  • Fokedvenc BI és DW blogjaim 7: Oracle Data Warehousing

    - by Fekete Zoltán
    A következo tartalmas blogot ajánlom a nyájas olvasó figyelmébe: The Data Warehouse Insider: http://blogs.oracle.com/datawarehousing/ Az adattárház általános fogalmaitól és a bevezetések és tervezés "best practice" legjobb gyakorlati tapasztalatokig. Témák: csillagsémák, particionálás, OLAP, 3NF, párhuzamos feldolgozások, adatbetöltés, ETL-ELT, adatmodellek, rendezvények, Exadata, Database Machine, tömörítés, adatbányászat, ügyféltörténetek,...

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  • When does 'optimizing code' == 'structuring data'?

    - by NewAlexandria
    A recent article by ycombinator lists a comment with principles of a great programmer. #7. Good programmer: I optimize code. Better programmer: I structure data. Best programmer: What's the difference? Acknowledging subjective and contentious concepts - does anyone have a position on what this means? I do, but I'd like to edit this question later with my thoughts so-as not to predispose the answers.

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  • Single Key Multiple Values Data Structure for one to many mapping

    - by nijhawan.saurabh
    Dictionaries are good, they are great to store Key / Value pairs but what if you want to store multiple values for a single key? Dictionaries would not allow duplicate keys. I came across a nice way to represent such a Data Structure using one of the Extension Method (ToLookup) present in System.Linq Namespace which converts an IEnumerable<T> to an ILookup<TKey, TElement>.   Now, there are two parameters this method expects (The other overload expects 3 parameters): IEnumerable<TSource> - This list would contain the actual data. Func<TSource, TKey> keySelector - The Delegate which which computes the keys   The method returns the following: ILookup<TKey, TElement>   This DS would store Keys and multiple values along those keys.   Let's see a small example:        12  using System;    13     using System.Collections.Generic;    14     using System.Linq;    15     16     /// <summary>    17     /// </summary>    18     internal class Program    19     {    20         #region Methods    21     22         /// <summary>    23         /// </summary>    24         /// <param name="args">    25         /// The args.    26         /// </param>    27         private static void Main(string[] args)    28         {    29             // Create an array of strings.    30             var list = new List<string> { "IceCream1", "Chocolate Moose", "IceCream2" };    31     32             // Generate a lookup Data Structure    33             ILookup<int, string> lookupDs = list.ToLookup(item => item.Length);    34     35           // Enumerate groupings.    36             foreach (var group in lookupDs)    37             {    38                 foreach (string element in group)    39                 {    40                     Console.WriteLine(element);    41                 }    42             }    43         } Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}

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  • Data Education: Great Classes Coming to a City Near You

    - by Adam Machanic
    In case you haven't noticed, Data Education (the training company I started a couple of years ago) has expanded beyond the US northeast; we're currently offering courses with top trainers in both St. Louis and Chicago , as well as the Boston area. The courses are starting to fill up fast—not surprising when you consider we’re talking about experienced instructors like Kalen Delaney , Rob Farley , and Allan Hirt —but we have still have some room. We’re very excited about bringing the highest quality...(read more)

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  • Extracting the Layout of all the Data Forms from the Relational Database

    - by RahulS
    Today I came across a question from one of our clients that: "what members are used on each data form WITHOUT having to go through the report generated out of our Planning app". We worked with client on this and reached to a simple query. All the form related information is stored in the following tables: HSP_FORM HSP_FORMOBJ_DEF HSP_FORMOBJ_DEF_MBR HSP_FORM_ATTRIBUTES HSP_FORM_CALCS HSP_FORM_DV_CONDITION HSP_FORM_DV_PM_RULE HSP_FORM_DV_RULE HSP_FORM_DV_USER_IN_PM_RULE HSP_FORM_LAYOUT HSP_FORM_MENUS HSP_FORM_VARIABLES If we want to retrieve just the members included, we can concentrate on: HSP_OBJECT to get the Object_ID for form, Object_Type is 7 for forms. (Ex: Select * from HSP_OBJECT where OBJECT_TYPE = 7) HSP_FORMOBJ_DEF Find the OBJDEF_ID for a particular form HSP_FORMOBJ_DEF_MBR Use the above OBJDEF_ID to find the members: Here the Mbr_ID is the Id of the member and Query_Type is the Function like Idesc, Level0 etc and Sequce is you sequence, And the final table we can use is HSP_FORM_LAYOUT: Layout_Type: 0->Pov 1-> Page, 2->Row, 3->Col, DIM_ID is the dimension ID and Ordinal is position. Here is the Query: SELECT HSP_OBJECT.OBJECT_NAME AS 'Form',  HSP_OBJECT_2.OBJECT_NAME AS 'Dimension',  HSP_OBJECT_1.OBJECT_NAME AS 'Member',  HSP_FORMOBJ_DEF_MBR.QUERY_TYPE FROM  <DatabaseName>.dbo.HSP_FORM_LAYOUT HSP_FORM_LAYOUT,  <DatabaseName>.dbo.HSP_FORMOBJ_DEF HSP_FORMOBJ_DEF,  <DatabaseName>.dbo.HSP_FORMOBJ_DEF_MBR HSP_FORMOBJ_DEF_MBR,  <DatabaseName>.dbo.HSP_MEMBER HSP_MEMBER,  <DatabaseName>.dbo.HSP_OBJECT HSP_OBJECT,  <DatabaseName>.dbo.HSP_OBJECT HSP_OBJECT_1,  <DatabaseName>.dbo.HSP_OBJECT HSP_OBJECT_2 WHERE  HSP_OBJECT.OBJECT_ID = HSP_FORMOBJ_DEF.FORM_ID AND  HSP_FORMOBJ_DEF_MBR.OBJDEF_ID = HSP_FORMOBJ_DEF.OBJDEF_ID AND  HSP_MEMBER.MEMBER_ID = HSP_FORMOBJ_DEF_MBR.MBR_ID AND  HSP_OBJECT_1.OBJECT_ID = HSP_MEMBER.MEMBER_ID AND  HSP_OBJECT_2.OBJECT_ID = HSP_MEMBER.DIM_ID AND  HSP_FORM_LAYOUT.DIM_ID = HSP_MEMBER.DIM_ID AND  HSP_FORM_LAYOUT.FORM_ID = HSP_FORMOBJ_DEF.FORM_ID AND  ((HSP_OBJECT.OBJECT_TYPE=7)) ORDER BY HSP_OBJECT.OBJECT_NAME  Concentrate on Test1 data form and Actual Layout of it as follows: Corresponding Query_type for few of the functions: 9  for Idesc, 3  for Ancestors, -9 for ILvl0Des, 8  for Desc, 4  for IAncestors Its just a basic idea you can do lot on the basis of this. Cheers..!!! Rahul S. http://www.facebook.com/pages/HyperionPlanning/117320818374228

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  • BizTalk: Sample: Context routing and Throttling with orchestration

    - by Leonid Ganeline
    The sample demonstrates using orchestration for throttling and using context routing. Usually throttling is implemented on the host level (in BizTalk 2010 we can also using the host instance level throttling). Here is demonstrated the throttling with orchestration convoy that slows down message flow from some customers. Sample implements sort of quality service agreement layer for different kind of customers. The sample demonstrates the context routing between orchestrations. It has several advantages over the content routing. For example, we don’t have to create the property schema and promote properties on the schemas; we don’t have to change the message content to change routing. Use case:  The BizTalk application has a main processing orchestration that process all input messages. The application usually works as an OLTP application. Input messages came in random order without peaks, typical scenario for the on-line users. But sometimes the big data batch payloads come. These batches overload processing orchestrations. All processes, activated by on-line users after the payload, come to the same queue and are processed only after the payload. Result is on-line users can see significant delay in processing. It can be minutes or hours, depending of the batch size. Requirements: On-line user’s processing should work without delays. Big batches cannot disturb on-line users. There should be higher priority for the on-line users and the lower priority for the batches. Design: Decision is to divide the message flow in two branches, one for on-line users and second for batches. Branch with batches provides messages to the processing line with low priority, and the on-line user’s branch – with high priority. All messages are provided by hi-speed receive port. BTS.ReceivePortName context property is used for routing. The Router orchestration separates messages sent from on-line users and from the batch messages. But the Router does not use the BizTalk provided value of this property, the Router set up this value by itself. Router uses the content of the messages to decide if it is from on-line users or from batches. The message context property the BTS.ReceivePortName is changed respectively, its value works as a recipient address, as the “To” address for the next recipient orchestrations. Those next orchestrations are the BatchBottleneck and the MainProcess orchestrations. Messages with context equal “ToBatch” are filtered up by the BatchBottleneck orchestration. It is a unified convoy orchestration and it throttles the message flow, delaying the message delivery to the MainProcess orchestration. The BatchBottleneck orchestration changes the message context to the “ToProcess” and sends messages one after another with small delay in between. Delay can be configured in the BizTalk config file as:                 <appSettings>                                 <add key="GLD_Tests_TwoWayRouting_BatchBottleneck_DelayMillisec" value="100"/>                 </appSettings>   Of course, messages with context equal “ToProcess” are filtered up by the MainProcess orchestration.   NOTES: Filters with string values: In Orchestrations (the first Receive shape in orchestration) use string values WITH quotes; in Send Ports use string values WITHOUT quotes. Filters on the Send Ports are dynamic; we can change them in run-time. Filters on the Orchestrations are static; we can change them only in design-time. To check the existence of the promoted property inside orchestration use the Expression shape with construction like this:       if (BTS.ReceivePortName exists myMessage) { …; } It is not possible in the Message Assignment shape because using the “if” statement inside Message Assignment is prohibited. Several predefined context properties can behave in specific way. Say MessageTracking.OriginatingMessage or XMLNORM.DocumentSpecName, they are required some internal rules should be applied to the format or usage of this properties. MessageTracking.* parameters require you have to use tracking and you can get unexpected run-time errors in some cases. My recommendation is - use very limited set of the predefined context properties. To “attach” the new promoted property to the message, we have to use correlation. The correlation type should include this property. [Here is a good explanation by Saravana ] The sample code is here [sorry, temporary trubles with CodePlex].

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  • Launching "Script of the Day" - Learn an amazing IT script sample every 24 hours

    - by Jialiang
    Every day is an opportunity to learn something or discover something new.  Learn one IT script sample every day; Be an IT master in a year! Microsoft All-In-One Script Framework offers "Script of the Day".  "Script of the Day" introduces one amazing script sample every 24 hours that demonstrates the frequently asked IT tasks.  If you are curious about and passionate for learning something new, follow the "Script of the Day” RSS feed or visit the "Script of the Day" homepage, and share your feedback with us [email protected].     Subscribe to the RSS Feed: http://blogs.technet.com/b/onescript/rss.aspx?tags=ScriptOfTheDay

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  • Sorting data in the SSIS Pipeline (Video)

    In this post I want to show a couple of ways to order the data that comes into the pipeline.  a number of people have asked me about this primarily because there are a number of ways to do it but also because some components in the pipeline take sorted inputs.  One of the methods I show is visually easy to understand and the other is less visual but potentially more performant.

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  • How to change sample text in font installer

    - by Tony Martin
    I have several Japanese fonts but do not want to install them all. I would like to preview them before installing. In icon view I can get a very rough idea of the style of the font as it shows Aa. When I open the font I am presented with a dialog box which shows a sample of the font with the sentence The quick brown fox jumped over the lazy dog. I would like to change this sample text to Japanese text to get a fuller preview of the font. Is it at all possible? I suspect I might have to edit and compile source, not something I'm very familiar with.

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  • Application Crash cleared the content of the Folder

    - by Ameya
    Recently while working on the LinuxDC++ over the network the application crashed while downloading files. Now my Downloads folder which had at least 60-80GB of data is completely cleaned but the system is not reporting the available the correct free space. Is there way to restore the contents of the folder only as the solution available are for the whole partition. I just want to recover the contents from one folder.

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  • Configuring JMS and Message Queues in GlassFish - Sample Chapter

    - by arungupta
    PacktPub released Java EE 6 with GlassFish 3 Application Server a few months after the first version in GlassFish 3 train was released. This book is a practical guide to install and configure the GlassFish 3 Application Server and develop and deploy Java EE 6 applications on this server. Recently they released a sample chapter on how to configure JMS and message queues in GlassFish. The chapter provide complete snapshots from the web-based admin console and working sample code. The Table of Contents shows that all major Java EE 6 APIs and the details of the GlassFish 3 server are covered followed by examples of its use. This book is a practical guide with a very user-friendly approach. Read about other books on Java EE and GlassFish here.

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  • Microsoft XNA code sample wont work with blender model

    - by FreakinaBox
    I downloaded this code sample and integrated it into my game http://xbox.create.msdn.com/en-US/education/catalog/sample/mesh_instancing It works with the model that they supplied, but throws and exception whenever I use one of my models. The current vertex declaration does not include all the elements required by the current vertex shader. TextureCoordinate0 is missing. I tried pluging my model into their original source code and same thing. My model is an fbx from blender and has a texture. This is the function that throws the error GraphicsDevice.DrawInstancedPrimitives( PrimitiveType.TriangleList, 0, 0, meshPart.NumVertices, meshPart.StartIndex, meshPart.PrimitiveCount, instances.Length );

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  • Getting Started with ADF Mobile Sample Apps

    - by Denis T
    Getting Started with ADF Mobile Sample Apps   Installation Steps Install JDeveloper 11.1.2.3.0 from Oracle Technology Network After installing JDeveloper, go to Help menu and select "Check For Updates" and find the ADF Mobile extension and install this. It will require you restart JDeveloper For iOS development, be on a Mac and have Xcode installed. (Currently only Xcode 4.4 is officially supported. Xcode 4.5 support is coming soon) For Android development, have the Android SDK installed. In the JDeveloper Tools menu, select "Preferences". In the Preferences dialog, select ADF Mobile. You can expand it to select configure your Platform preferences for things like the location of Xcode and the Android SDK. In your /jdeveloper/jdev/extensions/oracle.adf.mobile/Samples folder you will find a PublicSamples.zip. Unzip this into the Samples folder so you have all the projects ready to go. Open each of the sample application's .JWS file to open the corresponding workspace. Then from the "Application" menu, select "Deploy" and then select the deployment profile for the platform you wish to deploy to. Try deploying to the simulator/emulator on each platform first because it won't require signing. Note: If you wish to deploy to the Android emulator, it must be running before you start the deployment.   Sample Application Details   Recommended Order of Use Application Name Description 1 HelloWorld The "hello world" application for ADF Mobile, which demonstrates the basic structure of the framework. This basic application has a single application feature that is implemented with a local HTML file. Use this application to ascertain that the development environment is set up correctly to compile and deploy an application. See also Section 4.2.2, "What Happens When You Create an ADF Mobile Application." 2 CompGallery This application is meant to be a runtime application and not necessarily to review the code, though that is available. It serves as an introduction to the ADF Mobile AMX UI components by demonstrating all of these components. Using this application, you can change the attributes of these components at runtime and see the effects of those changes in real time without recompiling and redeploying the application after each change. See generally Chapter 8, "Creating ADF Mobile AMX User Interface." 3 LayoutDemo This application demonstrates the user interface layout and shows how to create the various list and button styles that are commonly used in mobile applications. It also demonstrates how to create the action sheet style of a popup component and how to use various chart and gauge components. See Section 8.3, "Creating and Using UI Components" and Section 8.5, "Providing Data Visualization." Note: This application must be opened from the Samples directory or the Default springboard option must be cleared in the Applications page of the adfmf-application.xml overview editor, then selected again. 4 JavaDemo This application demonstrates how to bind the user interface to Java beans. It also demonstrates how to invoke EL bindings from the Java layer using the supplied utility classes. See also Section 8.10, "Using Event Listeners" and Section 9.2, "Understanding EL Support." 5 Navigation This application demonstrates the various navigation techniques in ADF Mobile, including bounded task flows and routers. It also demonstrates the various page transitions. See also Section 7.2, "Creating Task Flows." Note: This application must be opened from the Samples directory or the Default springboard option must be cleared in the Applications page of the adfmf-application.xml overview editor, then selected again. 6 LifecycleEvents This application implements lifecycle event handlers on the ADF Mobile application itself and its embedded application features. This application shows you where to insert code to enable the applications to perform their own logic at certain points in the lifecycle. See also Section 5.6, "About Lifecycle Event Listeners." Note: iOS, the LifecycleEvents sample application logs data to the Console application, located at Applications-Utilities-Console application. 7 DeviceDemo This application shows you how to use the DeviceFeatures data control to expose such device features as geolocation, e-mail, SMS, and contacts, as well as how to query the device for its properties. See also Section 9.5, "Using the DeviceFeatures Data Control." Note: You must also run this application on an actual device because SMS and some of the device properties do not function on an iOS simulator or Android emulator. 8 GestureDemo This application demonstrates how gestures can be implemented and used in ADF Mobile applications. See also Section 8.4, "Enabling Gestures." 9 StockTracker This application demonstrates how data change events use Java to enable data changes to be reflected in the user interface. It also has a variety of layout use cases, gestures and basic mobile patterns. See also Section 9.7, "Data Change Events."

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  • What's beyond c,c++ and data structure?

    - by sagacious
    I have learnt c and c++ programming languages.i have learnt data structure too. Now i'm confused what to do next?my aim is to be a good programmer. i want to go deeper into the field of programming and making the practical applications of what i have learnt. So,the question takes the form-what to do next?Or is there any site where i can see advantage of every language with it's features? sorry,if there's any language error and thanks in advance.

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  • Five stars of open data - example and review

    - by Joe
    (there may be a more suited SE site for this question so feel free to shift) I have some data I'd like to make open to the public - It's synatesis of some related data retrived from freedom of infomation requests over the last year. The data itself is at http://www.cs.rhul.ac.uk/home/joseph/domesday/Domesday-Scotland.csv or for fans of Excel, at http://www.cs.rhul.ac.uk/home/joseph/domesday/Domesday-Scotland.xlsx . It's no more than a table with about five columns. I'd like to make this properly open data, so I was looking at the 5 star deployment scheme for Open Data. Much of which is fine but I'm confused towards the end and I could do with an explenation from people who know the answers. So to get achieve the star levels I need: "make your stuff available on the Web (whatever format) under an open license" trival - all I have to do is put the notes up on the page that will give the provance of the data. "make it available as structured data (e.g., Excel instead of image scan of a table)"… done… "use non-proprietary formats (e.g., CSV instead of Excel)" - done… "use URIs to identify things, so that people can point at your stuff" - this is where I start to get a bit hazy - does this mean there should be an URI for every line in the table? "link your data to other data to provide context" - this isn't massively clear to me - does this mean to give the provence of the data? One column of the data I've put out is a link to where the data came from - is that the sort of thing we're looking at? Any and all information and answers welcome… EDIT - or if anyone wants to recommend a place SE or other place to ask the question - that would be cool...

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  • Using a "white list" for extracting terms for Text Mining, Part 2

    - by [email protected]
    In my last post, we set the groundwork for extracting specific tokens from a white list using a CTXRULE index. In this post, we will populate a table with the extracted tokens and produce a case table suitable for clustering with Oracle Data Mining. Our corpus of documents will be stored in a database table that is defined as create table documents(id NUMBER, text VARCHAR2(4000)); However, any suitable Oracle Text-accepted data type can be used for the text. We then create a table to contain the extracted tokens. The id column contains the unique identifier (or case id) of the document. The token column contains the extracted token. Note that a given document many have many tokens, so there will be one row per token for a given document. create table extracted_tokens (id NUMBER, token VARCHAR2(4000)); The next step is to iterate over the documents and extract the matching tokens using the index and insert them into our token table. We use the MATCHES function for matching the query_string from my_thesaurus_rules with the text. DECLARE     cursor c2 is       select id, text       from documents; BEGIN     for r_c2 in c2 loop        insert into extracted_tokens          select r_c2.id id, main_term token          from my_thesaurus_rules          where matches(query_string,                        r_c2.text)>0;     end loop; END; Now that we have the tokens, we can compute the term frequency - inverse document frequency (TF-IDF) for each token of each document. create table extracted_tokens_tfidf as   with num_docs as (select count(distinct id) doc_cnt                     from extracted_tokens),        tf       as (select a.id, a.token,                            a.token_cnt/b.num_tokens token_freq                     from                        (select id, token, count(*) token_cnt                        from extracted_tokens                        group by id, token) a,                       (select id, count(*) num_tokens                        from extracted_tokens                        group by id) b                     where a.id=b.id),        doc_freq as (select token, count(*) overall_token_cnt                     from extracted_tokens                     group by token)   select tf.id, tf.token,          token_freq * ln(doc_cnt/df.overall_token_cnt) tf_idf   from num_docs,        tf,        doc_freq df   where df.token=tf.token; From the WITH clause, the num_docs query simply counts the number of documents in the corpus. The tf query computes the term (token) frequency by computing the number of times each token appears in a document and divides that by the number of tokens found in the document. The doc_req query counts the number of times the token appears overall in the corpus. In the SELECT clause, we compute the tf_idf. Next, we create the nested table required to produce one record per case, where a case corresponds to an individual document. Here, we COLLECT all the tokens for a given document into the nested column extracted_tokens_tfidf_1. CREATE TABLE extracted_tokens_tfidf_nt              NESTED TABLE extracted_tokens_tfidf_1                  STORE AS extracted_tokens_tfidf_tab AS              select id,                     cast(collect(DM_NESTED_NUMERICAL(token,tf_idf)) as DM_NESTED_NUMERICALS) extracted_tokens_tfidf_1              from extracted_tokens_tfidf              group by id;   To build the clustering model, we create a settings table and then insert the various settings. Most notable are the number of clusters (20), using cosine distance which is better for text, turning off auto data preparation since the values are ready for mining, the number of iterations (20) to get a better model, and the split criterion of size for clusters that are roughly balanced in number of cases assigned. CREATE TABLE km_settings (setting_name  VARCHAR2(30), setting_value VARCHAR2(30)); BEGIN  INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.clus_num_clusters, 20);  INSERT INTO km_settings (setting_name, setting_value)     VALUES (dbms_data_mining.kmns_distance, dbms_data_mining.kmns_cosine);   INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.prep_auto,dbms_data_mining.prep_auto_off);   INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.kmns_iterations,20);   INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.kmns_split_criterion,dbms_data_mining.kmns_size);   COMMIT; END; With this in place, we can now build the clustering model. BEGIN     DBMS_DATA_MINING.CREATE_MODEL(     model_name          => 'TEXT_CLUSTERING_MODEL',     mining_function     => dbms_data_mining.clustering,     data_table_name     => 'extracted_tokens_tfidf_nt',     case_id_column_name => 'id',     settings_table_name => 'km_settings'); END;To generate cluster names from this model, check out my earlier post on that topic.

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  • Building vs. Buying a Master Data Management Solution

    - by david.butler(at)oracle.com
    Many organizations prefer to build their own MDM solutions. The argument is that they know their data quality issues and their data better than anyone. Plus a focused solution will cost less in the long run then a vendor supplied general purpose product. This is not unreasonable if you think of MDM as a point solution for a particular data quality problem. But this approach carries significant risk. We now know that organizations achieve significant competitive advantages when they deploy MDM as a strategic enterprise wide solution: with the most common best practice being to deploy a tactical MDM solution and grow it into a full information architecture. A build your own approach most certainly will not scale to a larger architecture unless it is done correctly with the larger solution in mind. It is possible to build a home grown point MDM solution in such a way that it will dovetail into broader MDM architectures. A very good place to start is to use the same basic technologies that Oracle uses to build its own MDM solutions. Start with the Oracle 11g database to create a flexible, extensible and open data model to hold the master data and all needed attributes. The Oracle database is the most flexible, highly available and scalable database system on the market. With its Real Application Clusters (RAC) it can even support the mixed OLTP and BI workloads that represent typical MDM data access profiles. Use Oracle Data Integration (ODI) for batch data movement between applications, MDM data stores, and the BI layer. Use Oracle Golden Gate for more real-time data movement. Use Oracle's SOA Suite for application integration with its: BPEL Process Manager to orchestrate MDM connections to business processes; Identity Management for managing users; WS Manager for managing web services; Business Intelligence Enterprise Edition for analytics; and JDeveloper for creating or extending the MDM management application. Oracle utilizes these technologies to build its MDM Hubs.  Customers who build their own MDM solution using these components will easily migrate to Oracle provided MDM solutions when the home grown solution runs out of gas. But, even with a full stack of open flexible MDM technologies, creating a robust MDM application can be a daunting task. For example, a basic MDM solution will need: a set of data access methods that support master data as a service as well as direct real time access as well as batch loads and extracts; a data migration service for initial loads and periodic updates; a metadata management capability for items such as business entity matrixed relationships and hierarchies; a source system management capability to fully cross-reference business objects and to satisfy seemingly conflicting data ownership requirements; a data quality function that can find and eliminate duplicate data while insuring correct data attribute survivorship; a set of data quality functions that can manage structured and unstructured data; a data quality interface to assist with preventing new errors from entering the system even when data entry is outside the MDM application itself; a continuing data cleansing function to keep the data up to date; an internal triggering mechanism to create and deploy change information to all connected systems; a comprehensive role based data security system to control and monitor data access, update rights, and maintain change history; a flexible business rules engine for managing master data processes such as privacy and data movement; a user interface to support casual users and data stewards; a business intelligence structure to support profiling, compliance, and business performance indicators; and an analytical foundation for directly analyzing master data. Oracle's pre-built MDM Hub solutions are full-featured 3-tier Internet applications designed to participate in the full Oracle technology stack or to run independently in other open IT SOA environments. Building MDM solutions from scratch can take years. Oracle's pre-built MDM solutions can bring quality data to the enterprise in a matter of months. But if you must build, at lease build with the world's best technology stack in a way that simplifies the eventual upgrade to Oracle MDM and to the full enterprise wide information architecture that it enables.

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  • Big Data – ClustrixDB – Extreme Scale SQL Database with Real-time Analytics, Releases Software Download – NewSQL

    - by Pinal Dave
    There are so many things to learn and there is so little time we all have. As we have little time we need to be selective to learn whatever we learn. I believe I know quite a lot of things in SQL but I still do not know what is around SQL. I have started to learn about NewSQL recently. If you wonder what is NewSQL I encourage all of you to read my blog post about NewSQL over here Big Data – Buzz Words: What is NewSQL – Day 10 of 21. NewSQL databases are quickly becoming popular – providing the scale of NoSQL with the SQL features and transactions. As a part of learning NewSQL database, I have recently started to learn about ClustrixDB. ClustrixDB has been the most mature NewSQL database used by some of the largest internet sites in the world for over 3 years, with extensive SQL support. In addition to scale, it provides fast real-time analytics by bringing massively parallel processing (MPP), available only in warehousing databases, to the transactional database. The reason I am more intrigued about learning ClustrixDB is their recent announcement on Oct 31. ClustrixDB was only available as an appliance, but now with their software release on Oct 31, everyone can use it. It is now available as forever free for up to 12 cores with community support, and there is a 45 day trial for unlimited cluster sizes. With the forever free world, I am indeed interested in ClustrixDB now. I know that few of the leading eCommerce sites in the world uses them for their transactional database. Here are few of the details I have quickly noted for ClustrixDB. ClustrixDB allows user to: Scale by simply adding nodes to the cluster with a single command Run billions of transactions a day Run fast real-time analytics Achieve high-availability with recovery from node failure Manages itself Easily migrate from MySQL as it is nearly plug-and-play compatible, use MySQL drivers, tools and replication. While I was going through the documentation I realized that ClustrixDB also has extensive support for SQL features including complex queries involving joins on a dozen or more tables, aggregates, sorts, sub-queries. It also supports stored procedures, triggers, foreign keys, partitioned and temporary tables, and fully online schema changes. It is indeed a very matured product and SQL solution. Indeed Clusterix sound very promising solution, I decided to dig a bit deeper to understand who are current customers of the Clustrix as they exist in the industry for quite a few years. Their client list is indeed very interesting and here is my quick research about them. Twoo.com – Europe’s largest social discovery (dating) site runs 4.4 Billion Transactions a day with table sizes over a Terabyte, on a 168 core cluster. EngageBDR – Top 3 in the online advertising category uses ClustrixDB to serve 6.9 billion ads a day through real-time bidding platform. Their reports went from 4 hours to 15 seconds. NoMoreRack – Top 2 fastest growing e-commerce company in US used ClustrixDB for high availability and fast growth through Amazon cloud. MakeMyTrip – India’s leading travel site runs on ClustrixDB with two clusters running as multi-master in Chennai and Bangalore. Many enterprises such as AOL, CSC, Rakuten, Symantec use ClustrixDB when their applications need scale. I must accept that I am impressed with the information I have learned so far and now is the time to do some hand’s on experience with their product. I want to learn this technology so in future when it is about NewSQL, I know what I am talking about. Read more why Clustrix explains why you ClustrixDB might be the right database for you. Download ClustrixDB with me today and install it on your machine so in future when we discuss the technical aspects of it, we all are on the same page. The software can be downloaded here. Reference : Pinal Dave (http://blog.SQLAuthority.com)Filed under: Big Data, MySQL, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL Tagged: Clustrix

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  • How to generate a 8 bit per sample wav audio file in VLC

    - by Ahmed safan
    I'm using the following vlc command line to extract first 5 minutes of audio from video file "-I dummy -vvv --no-sout-video --sout-audio --no-sout-rtp-sap --no-sout-standard-sap --ttl=1 --sout-transcode-threads=5 --sout-transcode-high-priority --sout-keep --sout #transcode{acodec=s16l,channels=1,samplerate=8000,ab=64}:std{mux=wav,access=file,dst="c:\dest.wav"} "c:\originalvideo.mpg" --start-time=0 --stop-time=300 vlc://quit"; if ab=64 =64 k bits per second and samples per second=8 k samples then bits per sample=64/8=8 bits per sample but the problem is that the output file always has samples of 16 bits per sample. I know that sample can contain bits from 8 , 16, 24 to 32 bits per sample. i want to get 8 bits per sample file how can this be done ?

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  • Oracle Communications Data Model

    - by jean-pierre.dijcks
    I've mentioned OCDM in previous posts but found the following (see end of the post) podcast on the topic and figured it is worthwhile to spread the news some more. ORetailDM and OCommunicationsDM are the two data models currently available from Oracle. Both are intended to capture: Business best practices and industry knowledge Pre-built advanced analytics intended to predict future events before they happen (like the Churn model shown below) Oracle technology best practices to ensure optimal performance of the model All of this typically comes with a reduced time to implementation, or as the marketing slogan goes, reduced time to value. Here are the links: Podcast on OCDM OTN pages for OCDM and ORDM

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  • Importing data from text file to specific columns using BULK INSERT

    - by Dinesh Asanka
    Bulk insert is much faster than using other techniques such as  SSIS. However, when you are using bulk insert you can’t insert to specific columns. If, for example, there are five columns in a table you should have five values for each record in the text file you are importing from. This is an issue when you are expecting default values to be inserted into tables. Let us say you have table as below: In this table, you are expecting ID, Status and CreatedDate to be updated automatically, so your text file may only have   FirstName  LastName  values as below: Dinesh,Asanka Saman,Liyanage Ruwan,Silva Susantha,Bathige Jude,Peires Sanjeewa,Jayawickrama If you use bulk insert to this table like follows, You will be returned an error: Bulk load data conversion error (type mismatch or invalid character for the specified codepage) for row 1, column 1 (ID). To avoid this you will need to create a view with the columns you are expecting to fill and use bulk insert against it. If you check the table now, you will see table with values in the text file and the default values.

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