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• JQuery Datatable Question: Centering column data after data insertion

  - by Chris

  I have a data table that is initially empty and is populated after a particular Javascript call. After the data is inserted into the table, I'd like to center all of the data in one of the columns. I tried specifying this at the initialization step in this way: dTable = $('#dt').datatable({ 'aoColumns': [ null, null, { "sClass" : "center" }] }); The data in the third column was not centered after the insertions were complete. I tried modifying aoColumns after the insertions and redrawing the table as well: dTable.fnSettings().aoColumns[2].sClass = "center"; dTable.fnDraw(); This did not work either. So my question is simply how should I go about telling the data table to center the data in the third column? Thanks in advance for your suggestions. Chris

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• using document.createDocumentFragment() child dom elements that contain jQuery.data

  - by taber

  I want to use document.createDocumentFragment() to create an optimized collection of HTML elements that contain ".data" coming from jQuery (v 1.4.2), but I'm kind of stuck on how to get the data to surface from the HTML elements. Here's my code: var genres_html = document.createDocumentFragment(); $(xmlData).find('genres').each(function(i, node) { var genre = document.createElement('a'); $(genre).addClass('button') .attr('href', 'javascript:void(0)') .html( $(node).find('genreName:first').text() ) .data('genreData', { id: $(node).find('genreID:first').text() }); genres_html.appendChild( genre.cloneNode(true) ); }); $('#list').html(genres_html); // error: $('#list a:first').data('genreData') is null alert($('#list a:first').data('genreData').id); What am I doing wrong here? I suspect it's probably something with .cloneNode() not carrying over the data when the element is appended to the documentFragment. Sometimes there are tons of rows so I want to keep things pretty optimized, speed-wise. Thanks!

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• Workflow for statistical analysis and report writing

  - by ws

  Does anyone have any wisdom on workflows for data analysis related to custom report writing? The use-case is basically this: Client commissions a report that uses data analysis, e.g. a population estimate and related maps for a water district. The analyst downloads some data, munges the data and saves the result (e.g. adding a column for population per unit, or subsetting the data based on district boundaries). The analyst analyzes the data created in (2), gets close to her goal, but sees that needs more data and so goes back to (1). Rinse repeat until the tables and graphics meet QA/QC and satisfy the client. Write report incorporating tables and graphics. Next year, the happy client comes back and wants an update. This should be as simple as updating the upstream data by a new download (e.g. get the building permits from the last year), and pressing a "RECALCULATE" button, unless specifications change. At the moment, I just start a directory and ad-hoc it the best I can. I would like a more systematic approach, so I am hoping someone has figured this out... I use a mix of spreadsheets, SQL, ARCGIS, R, and Unix tools. Thanks! PS: Below is a basic Makefile that checks for dependencies on various intermediate datasets (w/ ".RData" suffix) and scripts (".R" suffix). Make uses timestamps to check dependencies, so if you 'touch ss07por.csv', it will see that this file is newer than all the files / targets that depend on it, and execute the given scripts in order to update them accordingly. This is still a work in progress, including a step for putting into SQL database, and a step for a templating language like sweave. Note that Make relies on tabs in its syntax, so read the manual before cutting and pasting. Enjoy and give feedback! http://www.gnu.org/software/make/manual/html%5Fnode/index.html#Top R=/home/wsprague/R-2.9.2/bin/R persondata.RData : ImportData.R ../../DATA/ss07por.csv Functions.R $R --slave -f ImportData.R persondata.Munged.RData : MungeData.R persondata.RData Functions.R $R --slave -f MungeData.R report.txt: TabulateAndGraph.R persondata.Munged.RData Functions.R $R --slave -f TabulateAndGraph.R report.txt

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• Data Model Evolution

  - by redleafong

  Hey guys, When writing code I am seeing requirements to change data models (e.g. adding/changing/removing data members from a class). When these data models belong to an interface, it seems difficult to change without breaking the existing client codes. So I am wondering if there is any best practice of designing interfaces/data models in a way to minimize the impact during evolution. The closest thing I can find from google is data contract versioning. But that seems to be a .net specific topic. I am wondering if the same practice applies to the Java world, or there is a different or generic way to deal with data model evolution. Thanks

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• should jQuery data be chainable?

  - by pedalpete

  I'm trying to add multiple jQuery data entries to a single element. I suspected that the following would work jQuery('td.person#a'+personId).data('email',thisPerson.email).data('phone',thisPerson.phone); However, I am getting nothing but errors when I do this. jQuery('td.person#a'+personId).data('email',thisPerson.email); jQuery('td.person#a'+personId).data('phone',thisPerson.phone); is there another way to get more than one data entry on an element? Hopefully chained?

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• Using protocol buffers for a comprehensive data strategy for Windows Mobile devices

  - by Steve

  I have started reading some of the posts related to protocol buffers. The serialization method seems very appropriate for the transfer of data to and from web servers. Has anyone considered using a method like this to save and retrieve data on the mobile device itself? (i.e. a replacement for a traditional database / orm layer) Where would the data be persisted? How would the data be queried? Would it make sense to store the data in a traditional database (SqlCE or SqlLite) with a few "searchable" columns and then one column for the serialized data? Thoughts? Am I out on a limb here? Thank you!

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• Estimating the boundary of arbitrarily distributed data

  - by Dave

  I have two dimensional discrete spatial data. I would like to make an approximation of the spatial boundaries of this data so that I can produce a plot with another dataset on top of it. Ideally, this would be an ordered set of (x,y) points that matplotlib can plot with the plt.Polygon() patch. My initial attempt is very inelegant: I place a fine grid over the data, and where data is found in a cell, a square matplotlib patch is created of that cell. The resolution of the boundary thus depends on the sampling frequency of the grid. Here is an example, where the grey region are the cells containing data, black where no data exists. OK, problem solved - why am I still here? Well.... I'd like a more "elegant" solution, or at least one that is faster (ie. I don't want to get on with "real" work, I'd like to have some fun with this!). The best way I can think of is a ray-tracing approach - eg: from xmin to xmax, at y=ymin, check if data boundary crossed in intervals dx y=ymin+dy, do 1 do 1-2, but now sample in y An alternative is defining a centre, and sampling in r-theta space - ie radial spokes in dtheta increments. Both would produce a set of (x,y) points, but then how do I order/link neighbouring points them to create the boundary? A nearest neighbour approach is not appropriate as, for example (to borrow from Geography), an isthmus (think of Panama connecting N&S America) could then close off and isolate regions. This also might not deal very well with the holes seen in the data, which I would like to represent as a different plt.Polygon. The solution perhaps comes from solving an area maximisation problem. For a set of points defining the data limits, what is the maximum contiguous area contained within those points To form the enclosed area, what are the neighbouring points for the nth point? How will the holes be treated in this scheme - is this erring into topology now? Apologies, much of this is me thinking out loud. I'd be grateful for some hints, suggestions or solutions. I suspect this is an oft-studied problem with many solution techniques, but I'm looking for something simple to code and quick to run... I guess everyone is, really! Cheers, David

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• Entity data field validation and part data submission

  - by pradeeptp

  I have an entity class that has 10 fields. I am using MS Validation Application block to mark all fields as mandatory (IsRequired). I am implementing a securiy feature in which during updation of the data, not all the fields in the entity class will have data. For example a few users can only view 5 fileds while others all 10 fields during updation on GUI I have the following options 1) Bring all the data for all the fields from the DB table and hide the ones not accessible to the users in GUI. I am concerned about the performance because everytime GUI will pull unncessary data. 2) Bring the data (e.g. only 5 fields) that are permissible for access/view by the user on GUI. During submit, validation block will throw exception because all fields are marked as IsRequired and only data for 5 fields are sent back to the server. I want to know if there are any other good approaches to solve problems like this. I am using .NET 3.5 Thanks.

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• Real-Time Data Streaming to Multiple Clients

  - by AriX

  Hi all, I would like to write an application which will stream data at 2400 baud over the internet from a server to multiple clients. The data will be the same for each client, and it would probably be fine to send it as a UDP stream, since exact data accuracy is not a 100% necessity, as there are checksums built-in to the data format and the data will be sent repeatedly on a loop. What is the best way to do this? I would want to write the server in C, but I don't know how to best multicast this data to the different clients that would be receiving it all over the country. I'm sure this seems like a pretty draconian way to go about my project, as opposed to just using some sort of fetch command, but I'd prefer to do it this way if possible.

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• Data driven charts and graphs from xml to svg

  - by garymlewis

  I asked this question a week ago, but did not do a good job of describing the problem. Here's a second attempt. I'd like to produce data-driven charts, graphs, and other data visualizations, starting with data in an xml database and ending up with the visualizations as SVG. Here's an example from the W3C. It uses Javascript to create a stacked bar chart as SVG from xml. I'd like to do something similar but use a graphics library (or ???) instead of js to handle the construction of axes, labels, titles, data points, etc. My question, then: what are the options that I should consider ... things like Raphael I suppose, but initially I'd like to cast a wide net and look at many different options. My experience is all with static data visualizations using statistics packages like R, but eventually I'd like to create interactive data visualizations with html5/css3/svg. Any help would be much appreciated. Thanks.

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• How to Modify Data Security in Fusion Applications

  - by Elie Wazen

  The reference implementation in Fusion Applications is designed with built-in data security on business objects that implement the most common business practices.  For example, the “Sales Representative” job has the following two data security rules implemented on an “Opportunity” to restrict the list of Opportunities that are visible to an Sales Representative: Can view all the Opportunities where they are a member of the Opportunity Team Can view all the Opportunities where they are a resource of a territory in the Opportunity territory team While the above conditions may represent the most common access requirements of an Opportunity, some customers may have additional access constraints. This blog post explains: How to discover the data security implemented in Fusion Applications. How to customize data security Illustrative example. a.) How to discover seeded data security definitions The Security Reference Manuals explain the Function and Data Security implemented on each job role.  Security Reference Manuals are available on Oracle Enterprise Repository for Oracle Fusion Applications. The following is a snap shot of the security documented for the “Sales Representative” Job. The two data security policies define the list of Opportunities a Sales Representative can view. Here is a sample of data security policies on an Opportunity. Business Object Policy Description Policy Store Implementation Opportunity A Sales Representative can view opportunity where they are a territory resource in the opportunity territory team Role: Opportunity Territory Resource Duty Privilege: View Opportunity (Data) Resource: Opportunity A Sales Representative can view opportunity where they are an opportunity sales team member with view, edit, or full access Role: Opportunity Sales Representative Duty Privilege: View Opportunity (Data) Resource: Opportunity Description of Columns Column Name Description Policy Description Explains the data filters that are implemented as a SQL Where Clause in a Data Security Grant Policy Store Implementation Provides the implementation details of the Data Security Grant for this policy. In this example the Opportunities listed for a “Sales Representative” job role are derived from a combination of two grants defined on two separate duty roles at are inherited by the Sales Representative job role. b.) How to customize data security Requirement 1: Opportunities should be viewed only by members of the opportunity team and not by all the members of all the territories on the opportunity. Solution: Remove the role “Opportunity Territory Resource Duty” from the hierarchy of the “Sales Representative” job role. Best Practice: Do not modify the seeded role hierarchy. Create a custom “Sales Representative” job role and build the role hierarchy with the seeded duty roles. Requirement 2: Opportunities must be more restrictive based on a custom attribute that identifies if a Opportunity is confidential or not. Confidential Opportunities must be visible only the owner of the Opportunity. Solution: Modify the (2) data security policy in the above example as follows: A Sales Representative can view opportunity where they are a territory resource in the opportunity territory team and the opportunity is not confidential. Implementation of this policy is more invasive. The seeded SQL where clause of the data security grant on “Opportunity Territory Resource Duty” has to be modified and the condition that checks for the confidential flag must be added. Best Practice: Do not modify the seeded grant. Create a new grant with the modified condition. End Date the seeded grant. c.) Illustrative Example (Implementing Requirement 2) A data security policy contains the following components: Role Object Instance Set Action Of the above four components, the Role and Instance Set are the only components that are customizable. Object and Actions for that object are seed data and cannot be modified. To customize a seeded policy, “A Sales Representative can view opportunity where they are a territory resource in the opportunity territory team”, Find the seeded policy Identify the Role, Object, Instance Set and Action components of the policy Create a new custom instance set based on the seeded instance set. End Date the seeded policies Create a new data security policy with custom instance set c-1: Find the seeded policy Step 1: 1. Find the Role 2. Open 3. Find Policies Step 2: Click on the Data Security Tab Sort by “Resource Name” Find all the policies with the “Condition” as “where they are a territory resource in the opportunity territory team” In this example, we can see there are 5 policies for “Opportunity Territory Resource Duty” on Opportunity object. Step 3: Now that we know the policy details, we need to create new instance set with the custom condition. All instance sets are linked to the object. Find the object using global search option. Open it and click on “condition” tab Sort by Display name Find the Instance set Edit the instance set and copy the “SQL Predicate” to a notepad. Create a new instance set with the modified SQL Predicate from above by clicking on the icon as shown below. Step 4: End date the seeded data security policies on the duty role and create new policies with your custom instance set. Repeat the navigation in step Edit each of the 5 policies and end date them 3. Create new custom policies with the same information as the seeded policies in the “General Information”, “Roles” and “Action” tabs. 4. In the “Rules” tab, please pick the new instance set that was created in Step 3.

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• Workaround for datadude deployment bug - NullReferenceException

  - by jamiet

  I have come across a bug in Visual Studio 2010 Database Projects (aka datadude aka DPro aka Visual Studio Database Development Tools aka Visual Studio Team Edition for Database Professionals aka Juneau aka SQL Server Data Tools) that other people may encounter so, for the purposes of googling, I'm writing this blog post about it. Through my own googling I discovered that a Connect bug had already been raised about it (VS2010 Database project deploy - “SqlDeployTask” task failed unexpectedly, NullReferenceException), and coincidentally enough it was raised by my former colleague Tom Hunter (whom I have mentioned here before as the superhuman Tom Hunter) although it has not (at this time) received a reply from Microsoft. Tom provided a repro, namely that this syntactically valid function definition: CREATE FUNCTION [dbo].[Function1]()RETURNS TABLEASRETURN (    WITH cte AS (    SELECT 1 AS [c1]    FROM [$(Database3)].[dbo].[Table1]   )   SELECT 1 AS [c1]   FROM cte) would produce this nasty unhelpful error upon deployment: C:\Program Files (x86)\MSBuild\Microsoft\VisualStudio\v10.0\TeamData\Microsoft.Data.Schema.TSqlTasks.targets(120,5): Error MSB4018: The "SqlDeployTask" task failed unexpectedly.System.NullReferenceException: Object reference not set to an instance of an object.   at Microsoft.Data.Schema.Sql.SchemaModel.SqlModelComparerBase.VariableSubstitution(SqlScriptProperty propertyValue, IDictionary`2 variables, Boolean& isChanged)   at Microsoft.Data.Schema.Sql.SchemaModel.SqlModelComparerBase.ArePropertiesEqual(IModelElement source, IModelElement target, ModelPropertyClass propertyClass, ModelComparerConfiguration configuration)   at Microsoft.Data.Schema.SchemaModel.ModelComparer.CompareProperties(IModelElement sourceElement, IModelElement targetElement, ModelComparerConfiguration configuration, ModelComparisonChangeDefinition changes)   at Microsoft.Data.Schema.SchemaModel.ModelComparer.CompareElementsWithoutCompareName(IModelElement sourceElement, IModelElement targetElement, ModelComparerConfiguration configuration, Boolean parentExplicitlyIncluded, Boolean compareElementOnly, ModelComparisonResult result, ModelComparisonChangeDefinition changes)   at Microsoft.Data.Schema.SchemaModel.ModelComparer.CompareElementsWithSameType(IModelElement sourceElement, IModelElement targetElement, ModelComparerConfiguration configuration, ModelComparisonResult result, Boolean ignoreComparingName, Boolean parentExplicitlyIncluded, Boolean compareElementOnly, Boolean compareFromRootElement, ModelComparisonChangeDefinition& changes)   at Microsoft.Data.Schema.SchemaModel.ModelComparer.CompareChildren(IModelElement sourceElement, IModelElement targetElement, ModelComparerConfiguration configuration, Boolean parentExplicitlyIncluded, Boolean compareParentElementOnly, ModelComparisonResult result, ModelComparisonChangeDefinition changes, Boolean isComposing)   at Microsoft.Data.Schema.SchemaModel.ModelComparer.CompareElementsWithoutCompareName(IModelElement sourceElement, IModelElement targetElement, ModelComparerConfiguration configuration, Boolean parentExplicitlyIncluded, Boolean compareElementOnly, ModelComparisonResult result, ModelComparisonChangeDefinition changes)   at Microsoft.Data.Schema.SchemaModel.ModelComparer.CompareElementsWithSameType(IModelElement sourceElement, IModelElement targetElement, ModelComparerConfiguration configuration, ModelComparisonResult result, Boolean ignoreComparingName, Boolean parentExplicitlyIncluded, Boolean compareElementOnly, Boolean compareFromRootElement, ModelComparisonChangeDefinition& changes)   at Microsoft.Data.Schema.SchemaModel.ModelComparer.CompareChildren(IModelElement sourceElement, IModelElement targetElement, ModelComparerConfiguration configuration, Boolean parentExplicitlyIncluded, Boolean compareParentElementOnly, ModelComparisonResult result, ModelComparisonChangeDefinition changes, Boolean isComposing)   at Microsoft.Data.Schema.SchemaModel.ModelComparer.CompareElementsWithoutCompareName(IModelElement sourceElement, IModelElement targetElement, ModelComparerConfiguration configuration, Boolean parentExplicitlyIncluded, Boolean compareElementOnly, ModelComparisonResult result, ModelComparisonChangeDefinition changes)   at Microsoft.Data.Schema.SchemaModel.ModelComparer.CompareElementsWithSameType(IModelElement sourceElement, IModelElement targetElement, ModelComparerConfiguration configuration, ModelComparisonResult result, Boolean ignoreComparingName, Boolean parentExplicitlyIncluded, Boolean compareElementOnly, Boolean compareFromRootElement, ModelComparisonChangeDefinition& changes)   at Microsoft.Data.Schema.SchemaModel.ModelComparer.CompareAllElementsForOneType(ModelElementClass type, ModelComparerConfiguration configuration, ModelComparisonResult result, Boolean compareOrphanedElements)   at Microsoft.Data.Schema.SchemaModel.ModelComparer.CompareStore(ModelStore source, ModelStore target, ModelComparerConfiguration configuration)   at Microsoft.Data.Schema.Build.SchemaDeployment.CompareModels()   at Microsoft.Data.Schema.Build.SchemaDeployment.PrepareBuildPlan()   at Microsoft.Data.Schema.Build.SchemaDeployment.Execute(Boolean executeDeployment)   at Microsoft.Data.Schema.Build.SchemaDeployment.Execute()   at Microsoft.Data.Schema.Tasks.DBDeployTask.Execute()   at Microsoft.Build.BackEnd.TaskExecutionHost.Microsoft.Build.BackEnd.ITaskExecutionHost.Execute()   at Microsoft.Build.BackEnd.TaskBuilder.ExecuteInstantiatedTask(ITaskExecutionHost taskExecutionHost, TaskLoggingContext taskLoggingContext, TaskHost taskHost, ItemBucket bucket, TaskExecutionMode howToExecuteTask, Boolean& taskResult)   Done executing task "SqlDeployTask" -- FAILED.  Done building target "DspDeploy" in project "Lloyds.UKTax.DB.UKtax.dbproj" -- FAILED. Done executing task "CallTarget" -- FAILED.Done building target "DBDeploy" in project It turns out there are a certain set of circumstances that need to be met for this error to occur: The object being deployed is an inline function  (may also exist for multistatement and scalar functions - I haven't tested that) That object includes SQLCMD variable references The object has already been deployed successfully Just to reiterate that last bullet point, the error does not occur when you deploy the function for the first time, only on the subsequent deployment.   Luckily I have a direct line into a guy on the development team so I fired off an email on Friday evening and today (Monday) I received a reply back telling me that there is a simple fix, one simply has to remove the parentheses that wrap the SQL statement. So, in the case of Tom's repro, the function definition simpy has to be changed to: CREATE FUNCTION [dbo].[Function1]()RETURNS TABLEASRETURN --(    WITH cte AS (    SELECT 1 AS [c1]    FROM [$(Database3)].[dbo].[Table1]   )   SELECT 1 AS [c1]   FROM cte--) I have commented out the offending parentheses rather than removing them just to emphasize the point. Thereafter the function will deploy fine. I tested this out on my own project this morning and can confirm that this fix does indeed work.   I have been told that the bug CAN be reproduced in the Release Candidate (RC) 0 build of SQL Server Data Tools in SQL Server 2010 so am hoping that a fix makes it in for the Release-To-Manufacturing (RTM) build. Hope this helps @jamiet

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• Maximize Performance and Availability with Oracle Data Integration

  - by Tanu Sood

  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-qformat:yes; 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:10.0pt; font-family:"Calibri","sans-serif"; mso-fareast-font-family:Calibri; mso-bidi-font-family:"Times New Roman";} Alert: Oracle is hosting the 12c Launch Webcast for Oracle Data Integration and Oracle Golden Gate on Tuesday, November 12 (tomorrow) to discuss the new capabilities in detail and share customer perspectives. Hear directly from customer experts and executives from SolarWorld Industries America, British Telecom and Rittman Mead and get your questions answered live by product experts. Register for this complimentary webcast today and join in the discussion tomorrow. Author: Irem Radzik, Senior Principal Product Director, Oracle Organizations that want to use IT as a strategic point of differentiation prefer Oracle’s complete application offering to drive better business performance and optimize their IT investments. These enterprise applications are in the center of business operations and they contain critical data that needs to be accessed continuously, as well as analyzed and acted upon in a timely manner. These systems also need to operate with high-performance and availability, which means analytical functions should not degrade applications performance, and even system maintenance and upgrades should not interrupt availability. Oracle’s data integration products, Oracle Data Integrator, Oracle GoldenGate, and Oracle Enterprise Data Quality, provide the core foundation for bringing data from various business-critical systems to gain a broader, unified view. As a more advance offering to 3rd party products, Oracle’s data integration products facilitate real-time reporting for Oracle Applications without impacting application performance, and provide ability to upgrade and maintain the system without taking downtime. Oracle GoldenGate is certified for Oracle Applications, including E-Business Suite, Siebel CRM, PeopleSoft, and JD Edwards, for moving transactional data in real-time to a dedicated operational reporting environment. This solution allows the app users to offload the resource-heavy queries to the reporting instance(s), reducing CPU utilization, improving OLTP performance, and extending the lifetime of existing IT assets. In addition, having a dedicated reporting instance with up-to-the-second transactional data allows optimizing the reporting environment and even decreasing costs as GoldenGate can move only the required data from expensive mainframe environments to cost-efficient open system platforms.  With real-time data replication capabilities GoldenGate is also certified to enable application upgrades and database/hardware/OS migration without impacting business operations. GoldenGate is certified for Siebel CRM, Communications Billing and Revenue Management and JD Edwards for supporting zero downtime upgrades to the latest app version. GoldenGate synchronizes a parallel, upgraded system with the old version in real time, thus enables continuous operations during the process. Oracle GoldenGate is also certified for minimal downtime database migrations for Oracle E-Business Suite and other key applications. GoldenGate’s solution also minimizes the risk by offering a failback option after the switchover to the new environment. Furthermore, Oracle GoldenGate’s bidirectional active-active data replication is certified for Oracle ATG Web Commerce to enable geographically load balancing and high availability for ATG customers. For enabling better business insight, Oracle Data Integration products power Oracle BI Applications with high performance bulk and real-time data integration. Oracle Data Integrator (ODI) is embedded in Oracle BI Applications version 11.1.1.7.1 and helps to integrate data end-to-end across the full BI Applications architecture, supporting capabilities such as data-lineage, which helps business users identify report-to-source capabilities. ODI is integrated with Oracle GoldenGate and provides Oracle BI Applications customers the option to use real-time transactional data in analytics, and do so non-intrusively. By using Oracle GoldenGate with the latest release of Oracle BI Applications, organizations not only leverage fresh data in analytics, but also eliminate the need for an ETL batch window and minimize the impact on OLTP systems. You can learn more about Oracle Data Integration products latest 12c version in our upcoming launch webcast and access the app-specific free resources in the new Data Integration for Oracle Applications Resource Center.

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• Data Source Security Part 2

  - by Steve Felts

  In Part 1, I introduced the default security behavior and listed the various options available to change that behavior.  One of the key topics to understand is the difference between directly using database user and password values versus mapping from WLS user and password to the associated database values.   The direct use of database credentials is relatively new to WLS, based on customer feedback.  Some of the trade-offs are covered in this article. Credential Mapping vs. Database Credentials Each WLS data source has a credential map that is a mechanism used to map a key, in this case a WLS user, to security credentials (user and password).  By default, when a user and password are specified when getting a connection, they are treated as credentials for a WLS user, validated, and are converted to a database user and password using a credential map associated with the data source.  If a matching entry is not found in the credential map for the data source, then the user and password associated with the data source definition are used.  Because of this defaulting mechanism, you should be careful what permissions are granted to the default user.  Alternatively, you can define an invalid default user to ensure that no one can accidentally get through (in this case, you would need to set the initial capacity for the pool to zero so that the pool is populated only by valid users). To create an entry in the credential map: 1) First create a WLS user.  In the administration console, go to Security realms, select your realm (e.g., myrealm), select Users, and select New.  2) Second, create the mapping.  In the administration console, go to Services, select Data sources, select your data source name, select Security, select Credentials, and select New.  See http://docs.oracle.com/cd/E24329_01/apirefs.1211/e24401/taskhelp/jdbc/jdbc_datasources/ConfigureCredentialMappingForADataSource.html for more information. The advantages of using the credential mapping are that: 1) You don’t hard-code the database user/password into a program or need to prompt for it in addition to the WLS user/password and 2) It provides a layer of abstraction between WLS security and database settings such that many WLS identities can be mapped to a smaller set of DB identities, thereby only requiring middle-tier configuration updates when WLS users are added/removed. You can cut down the number of users that have access to a data source to reduce the user maintenance overhead.  For example, suppose that a servlet has the one pre-defined, special WLS user/password for data source access, hard-wired in its code in a getConnection(user, password) call.  Every WebLogic user can reap the specific DBMS access coded into the servlet, but none has to have general access to the data source.  For instance, there may be a ‘Sales’ DBMS which needs to be protected from unauthorized eyes, but it contains some day-to-day data that everyone needs. The Sales data source is configured with restricted access and a servlet is built that hard-wires the specific data source access credentials in its connection request.  It uses that connection to deliver only the generally needed day-to-day information to any caller. The servlet cannot reveal any other data, and no WebLogic user can get any other access to the data source.  This is the approach that many large applications take and is the reasoning behind the default mapping behavior in WLS. The disadvantages of using the credential map are that: 1) It is difficult to manage (create, update, delete) with a large number of users; it is possible to use WLST scripts or a custom JMX client utility to manage credential map entries. 2) You can’t share a credential map between data sources so they must be duplicated. Some applications prefer not to use the credential map.  Instead, the credentials passed to getConnection(user, password) should be treated as database credentials and used to authenticate with the database for the connection, avoiding going through the credential map.  This is enabled by setting the “use-database-credentials” to true.  See http://docs.oracle.com/cd/E24329_01/apirefs.1211/e24401/taskhelp/jdbc/jdbc_datasources/ConfigureOracleParameters.html "Configure Oracle parameters" in Oracle WebLogic Server Administration Console Help. Use Database Credentials is not currently supported for Multi Data Source configurations.  When enabled, it turns off credential mapping on Generic and Active GridLink data sources for the following attributes: 1. identity-based-connection-pooling-enabled (this interaction is available by patch in 10.3.6.0). 2. oracle-proxy-session (this interaction is first available in 10.3.6.0). 3. set client identifier (this interaction is available by patch in 10.3.6.0).  Note that in the data source schema, the set client identifier feature is poorly named “credential-mapping-enabled”.  The documentation and the console refer to it as Set Client Identifier. To review the behavior of credential mapping and using database credentials: - If using the credential map, there needs to be a mapping for each WLS user to database user for those users that will have access to the database; otherwise the default user for the data source will be used.  If you always specify a user/password when getting a connection, you only need credential map entries for those specific users. - If using database credentials without specifying a user/password, the default user and password in the data source descriptor are always used.  If you specify a user/password when getting a connection, that user will be used for the credentials.  WLS users are not involved at all in the data source connection process.

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• XFS and loss of data when power goes down

  - by culebrón

  Each time electricity goes down, my desktop (without UPS) loses some temporary information. Opera can lose settings, history, cache, or mail accounts (Thanks heavens I was wise to use IMAP). Partially or all together. a whole file (complete and save) in Geany appeared empty (and I didn't commit it to Git) rhythmbox lost all podcasts subscription data I'm afraid there are other losses I just didn't see. What's the reason? A memory files cache, a mem-disk? Or non-atomic file writes in xfs? I have Ubuntu 9.10 and XFS on both / and /home partitions. Is ext4 safer in such circumstances? I've seen ext3 is faster. Is it as safe as *4? Given that the apartment I rent is connected to a common bus and 1 safety switch for several apartments, and the neighbors - alone or together - overload it at least once every week, the lights go down often enough for this to be an issue.

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• Can unexpected power loss harm a Linux install?

  - by Johan Elmander

  I am developing an application on a Linux embedded board (runs Debian) e.g. Raspberry Pi, Beagle Board/Bone, or olimex. The boards works on an environment that the electricity is cut unexpectedly (it is far complicated to place PSU, etc.) and it would happen every day couple times. I wonder if the unexpected power cuts would cause crash/problem on the Linux Operation System? If it is something that I should worry, what would you suggest to prevent the damages on OS against the unexpected power cuts? PS. The application needs to writes some data to the storage medium (SD card), I think it would not be suitable to mount it as read-only.

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• Need deleted data back from Pen Drive, Please help

  - by Manav Sharma

  All, I am using a Pendrive to transfer files from one system to another. I think I deleted some files from the Pendrive that I now need back. Also, there are chances that I might have overwritten the memory where the deleted data might have existed. Is there any software to do something about that? I understand that logically whatever is overwritten in memory cannot to fetched back. But still I need to trust the advances in the technology. Any help is appreciated. Thanks

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• best data+partition recovery software

  - by Pennf0lio

  I accidentally formatted my Drive D that contained all my Backups and Documents. I separated my files to my Drive D hoping I will not harm my files. Since I use Acronis Recovery to Install a new OS with some pre-installed application to my HDD I didn't realize I also formated/erase my Drive D. Now my drive D is unpartitioned. I am really in really in deep trouble and would need some urgent help, Please recommend a Software that at least can restore my Old Drive that contained my files. I'm assuming most of you think this is a duplicate of some old questions here, But I'm not looking for data recovery, I need to recover the whole partition with the files. I used to use "Recuva" but It only recovers files not the whole folders with the files in it. Please advice. Thank You!

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• Data Validation of a Comma Delimited List

  - by Brad

  I need a simple way of taking a comma seperated list in a cell, and providing a drop down box to select one of them. For Example, the cell could contain: 24, 32, 40, 48, 56, 64 And in a further cell, using Data Validation, I want to provide a drop-down list to select ONE of those values I need to do this without VBA or Macros please. Apolgies, I want this to work with Excel 2010 and later. I have been playing around with counting the number of commas in the list and then trying to split this into a number of rows of single numbers etc with no joy yet.

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• Excel Macro Help - Data Input

  - by B-Ballerl

  I'm want to develop a macro where in my excel worksheet I type a date in a specific cell, and the macro will go into a folder containing text files. A database you could say. I want it to find the corresponding file name which is written as a date, put the data through a delimeter, and paste into the cells directly below where I orginally put the date. I'm very new with Macro's so if you must answer try to be a little more simple than you might usually be. Thanks In Advance if anyone can Help!!

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• Recovering data from a Silicon Image SiI3114 RAID

  - by Isaac Truett

  I have a set of 3 disks in RAID 5 originally created with a Silicon Image SiI3114 on-board RAID controller. The old motherboard is dead. The new motherboard (which has a different raid controller) won't boot from the array. I have no reason to believe that the drives are damaged or corrupted. I'm 99% sure that the problem is that the new controller isn't compatible or I'm not setting it up properly. Is it possible to recover data from the drives using a different controller? Would a PCI card like this one allow me to read from the array again?

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• Data unaccessible from WHS drive

  - by Eakraly

  Hi all, I had a Windows Home server machine that crashed. Before doing anything I decided to get data out of it. So I took the hard drive and connected it to Windows7 pc. What I get is that I cannot access almost any file! I do see directory structure, I can open small files like .txt and .ini but bigger files like .iso and video - no go. Same goes for Ubuntu and OS X - I can see files and even copy them - but they are corrupted. Any ideas for what the problem is?

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• Data unaccessible from WHS drive

  - by Eakraly

  Hi all, I had a Windows Home server machine that crashed. Before doing anything I decided to get data out of it. So I took the hard drive and connected it to Windows7 pc. What I get is that I cannot access almost any file! I do see directory structure, I can open small files like .txt and .ini but bigger files like .iso and video - no go. Same goes for Ubuntu and OS X - I can see files and even copy them - but they are corrupted. Any ideas for what the problem is?

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• how to recover data from my disk - I accidentally copied with dd an iso on it

  - by sijoune

  I wanted to create a bootable usb from an iso image and i accidentally put as the output of the dd, instead of my usb drive, one of my hard disks. The iso was 3,3 GB and my disk is 1TB! And it was almost full. Can i at least restore the data that has not been overwritten? Right now i can't even mount it. I get this error: Error mounting /dev/sdd1 at /media/main/UDF Volume: Command-line `mount -t "udf" -o "uhelper=udisks2,nodev,nosuid,uid=1000,gid=1000,iocharset=utf8,umask=0077" "/dev/sdd1" "/media/main/UDF Volume"' exited with non-zero exit status 32: mount: wrong fs type, bad option, bad superblock on /dev/sdd1, missing codepage or helper program, or other error In some cases useful info is found in syslog - try dmesg | tail or so Also since i know which filesystem my disk used if i reformat it to this filesystem is there any chance i can mount it and retrieve the rest of the files?

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• SQLAuthority News – Download SQL Azure Labs Codename “Data Explorer” Client

  - by pinaldave

  Microsoft SQL Azure labs has recently released Data Explorer client. I was looking forward to visualizing tool for quite a while and I am delighted to see this tool. I will be trying out this tool in coming week and will post here my experience. I have listed few of the resources which are related to Data Explorer at the end. Please let me know if I have missed any and I will add the same. With “Data Explorer” you can: Identify the data you care about from the sources you work with (e.g. Excel spreadsheets, files, SQL Server databases). Discover relevant data and services via automatic recommendations from the Windows Azure Marketplace. Enrich your data by combining it and visualizing the results. Collaborate with your colleagues to refine the data. Publish the results to share them with others or power solutions. The Data Explorer Client package contains the Data Explorer workspace as well as an Office plugin that integrates Data Explorer into Excel. Resources: Download Data Explorer Data Explorer Blog Desktop Client Video of  Contoso Bikes and Frozen Yogurt (Data Explorer) Please note that this is not the final release of the product. Please do not attempt this on production server. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Azure, SQL Documentation, SQL Download, SQL Query, SQL Server, SQL Tips and Tricks, SQLAuthority News, T SQL, Technology

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