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• PASS Business Intelligence Virtual Chapter Upcoming Sessions (November 2013)

  - by Sergio Govoni

  Let me point out the upcoming live events, dedicated to Business Intelligence with SQL Server, that PASS Business Intelligence Virtual Chapter has scheduled for November 2013. The "Accidental Business Intelligence Project Manager"Date: Thursday 7th November - 8:00 PM GMT / 3:00 PM EST / Noon PSTSpeaker: Jen StirrupURL: https://attendee.gotowebinar.com/register/5018337449405969666 You've watched the Apprentice with Donald Trump and Lord Alan Sugar. You know that the Project Manager is usually the one gets firedYou've heard that Business Intelligence projects are prone to failureYou know that a quick Bing search for "why do Business Intelligence projects fail?" produces a search result of 25 million hits!Despite all this… you're now Business Intelligence Project Manager – now what do you do?In this session, Jen will provide a "sparks from the anvil" series of steps and working practices in Business Intelligence Project Management. What about waterfall vs agile? What is a Gantt chart anyway? Is Microsoft Project your friend or a problematic aspect of being a BI PM? Jen will give you some ideas and insights that will help you set your BI project right: assess priorities, avoid conflict, empower the BI team and generally deliver the Business Intelligence project successfully! Dimensional Modelling Design Patterns: Beyond BasicsDate: Tuesday 12th November - Noon AEDT / 1:00 AM GMT / Monday 11th November 5:00 PM PSTSpeaker: Jason Horner, Josh Fennessy and friendsURL: https://attendee.gotowebinar.com/register/852881628115426561 This session will provide a deeper dive into the art of dimensional modeling. We will look at the different types of fact tables and dimension tables, how and when to use them. We will also some approaches to creating rich hierarchies that make reporting a snap. This session promises to be very interactive and engaging, bring your toughest Dimensional Modeling quandaries. Data Vault Data Warehouse ArchitectureDate: Tuesday 19th November - 4:00 PM PST / 7 PM EST / Wednesday 20th November 11:00 PM AEDTSpeaker: Jeff Renz and Leslie WeedURL: https://attendee.gotowebinar.com/register/1571569707028142849 Data vault is a compelling architecture for an enterprise data warehouse using SQL Server 2012. A well designed data vault data warehouse facilitates fast, efficient and maintainable data integration across business systems. In this session Leslie and I will review the basics about enterprise data warehouse design, introduce you to the data vault architecture and discuss how you can leverage new features of SQL Server 2012 help make your data warehouse solution provide maximum value to your users. 

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• MapRedux - PowerShell and Big Data

  - by Dittenhafer Solutions

  MapRedux – #PowerShell and #Big Data Have you been hearing about “big data”, “map reduce” and other large scale computing terms over the past couple of years and been curious to dig into more detail? Have you read some of the Apache Hadoop online documentation and unfortunately concluded that it wasn't feasible to setup a “test” hadoop environment on your machine? More recently, I have read about some of Microsoft’s work to enable Hadoop on the Azure cloud. Being a "Microsoft"-leaning technologist, I am more inclinded to be successful with experimentation when on the Windows platform. Of course, it is not that I am "religious" about one set of technologies other another, but rather more experienced. Anyway, within the past couple of weeks I have been thinking about PowerShell a bit more as the 2012 PowerShell Scripting Games approach and it occured to me that PowerShell's support for Windows Remote Management (WinRM), and some other inherent features of PowerShell might lend themselves particularly well to a simple implementation of the MapReduce framework. I fired up my PowerShell ISE and started writing just to see where it would take me. Quite simply, the ScriptBlock feature combined with the ability of Invoke-Command to create remote jobs on networked servers provides much of the plumbing of a distributed computing environment. There are some limiting factors of course. Microsoft provided some default settings which prevent PowerShell from taking over a network without administrative approval first. But even with just one adjustment, a given Windows-based machine can become a node in a MapReduce-style distributed computing environment. Ok, so enough introduction. Let's talk about the code. First, any machine that will participate as a remote "node" will need WinRM enabled for remote access, as shown below. This is not exactly practical for hundreds of intended nodes, but for one (or five) machines in a test environment it does just fine. C:> winrm quickconfig WinRM is not set up to receive requests on this machine. The following changes must be made: Set the WinRM service type to auto start. Start the WinRM service. Make these changes [y/n]? y Alternatively, you could take the approach described in the Remotely enable PSRemoting post from the TechNet forum and use PowerShell to create remote scheduled tasks that will call Enable-PSRemoting on each intended node. Invoke-MapRedux Moving on, now that you have one or more remote "nodes" enabled, you can consider the actual Map and Reduce algorithms. Consider the following snippet: $MyMrResults = Invoke-MapRedux -MapReduceItem $Mr -ComputerName $MyNodes -DataSet $dataset -Verbose Invoke-MapRedux takes an instance of a MapReduceItem which references the Map and Reduce scriptblocks, an array of computer names which are the remote nodes, and the initial data set to be processed. As simple as that, you can start working with concepts of big data and the MapReduce paradigm. Now, how did we get there? I have published the initial version of my PsMapRedux PowerShell Module on GitHub. The PsMapRedux module provides the Invoke-MapRedux function described above. Feel free to browse the underlying code and even contribute to the project! In a later post, I plan to show some of the inner workings of the module, but for now let's move on to how the Map and Reduce functions are defined. Map Both the Map and Reduce functions need to follow a prescribed prototype. The prototype for a Map function in the MapRedux module is as follows. A simple scriptblock that takes one PsObject parameter and returns a hashtable. It is important to note that the PsObject $dataset parameter is a MapRedux custom object that has a "Data" property which offers an array of data to be processed by the Map function. $aMap = { Param ( [PsObject] $dataset ) # Indicate the job is running on the remote node. Write-Host ($env:computername + "::Map"); # The hashtable to return $list = @{}; # ... Perform the mapping work and prepare the $list hashtable result with your custom PSObject... # ... The $dataset has a single 'Data' property which contains an array of data rows # which is a subset of the originally submitted data set. # Return the hashtable (Key, PSObject) Write-Output $list; } Reduce Likewise, with the Reduce function a simple prototype must be followed which takes a $key and a result $dataset from the MapRedux's partitioning function (which joins the Map results by key). Again, the $dataset is a MapRedux custom object that has a "Data" property as described in the Map section. $aReduce = { Param ( [object] $key, [PSObject] $dataset ) Write-Host ($env:computername + "::Reduce - Count: " + $dataset.Data.Count) # The hashtable to return $redux = @{}; # Return Write-Output $redux; } All Together Now When everything is put together in a short example script, you implement your Map and Reduce functions, query for some starting data, build the MapReduxItem via New-MapReduxItem and call Invoke-MapRedux to get the process started: # Import the MapRedux and SQL Server providers Import-Module "MapRedux" Import-Module “sqlps” -DisableNameChecking # Query the database for a dataset Set-Location SQLSERVER:\sql\dbserver1\default\databases\myDb $query = "SELECT MyKey, Date, Value1 FROM BigData ORDER BY MyKey"; Write-Host "Query: $query" $dataset = Invoke-SqlCmd -query $query # Build the Map function $MyMap = { Param ( [PsObject] $dataset ) Write-Host ($env:computername + "::Map"); $list = @{}; foreach($row in $dataset.Data) { # Write-Host ("Key: " + $row.MyKey.ToString()); if($list.ContainsKey($row.MyKey) -eq $true) { $s = $list.Item($row.MyKey); $s.Sum += $row.Value1; $s.Count++; } else { $s = New-Object PSObject; $s | Add-Member -Type NoteProperty -Name MyKey -Value $row.MyKey; $s | Add-Member -type NoteProperty -Name Sum -Value $row.Value1; $list.Add($row.MyKey, $s); } } Write-Output $list; } $MyReduce = { Param ( [object] $key, [PSObject] $dataset ) Write-Host ($env:computername + "::Reduce - Count: " + $dataset.Data.Count) $redux = @{}; $count = 0; foreach($s in $dataset.Data) { $sum += $s.Sum; $count += 1; } # Reduce $redux.Add($s.MyKey, $sum / $count); # Return Write-Output $redux; } # Create the item data $Mr = New-MapReduxItem "My Test MapReduce Job" $MyMap $MyReduce # Array of processing nodes... $MyNodes = ("node1", "node2", "node3", "node4", "localhost") # Run the Map Reduce routine... $MyMrResults = Invoke-MapRedux -MapReduceItem $Mr -ComputerName $MyNodes -DataSet $dataset -Verbose # Show the results Set-Location C:\ $MyMrResults | Out-GridView Conclusion I hope you have seen through this article that PowerShell has a significant infrastructure available for distributed computing. While it does take some code to expose a MapReduce-style framework, much of the work is already done and PowerShell could prove to be the the easiest platform to develop and run big data jobs in your corporate data center, potentially in the Azure cloud, or certainly as an academic excerise at home or school. Follow me on Twitter to stay up to date on the continuing progress of my Powershell MapRedux module, and thanks for reading! Daniel

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• EMEA Analytics & Data Integration Oracle Partner Forum

  - by Mike.Hallett(at)Oracle-BI&EPM

  MONDAY 12TH NOVEMBER, 2012 IN LONDON (UK) For Oracle Partners across Europe, Middle East and Africa: come to hear the latest news from Oracle OpenWorld about Oracle BI & Data Integration, and propel your business growth as an Oracle partner. This event should appeal to BI or Data Integration specialised partners, Executives, Sales, Pre-sales and Solution architects: with a choice of participation in the plenary day and then a set of special interest (technical) sessions. The follow on breakout sessions from the 13th November provide deeper dives and technical training for those of you who wish to stay for more detailed and hands-on workshops. Keynote: Andrew Sutherland, SVP Oracle Technology Hot agenda items will include: The Fusion Middleware Stack: Engineered to work together A complete Analytics and Data Integration Solution Architecture: Big Data and Little Data combined In-Memory Analytics for Extreme Insight Latest Product Development Roadmap for Data Integration and Analytics Venue:  Oracles London CITY Moorgate Offices Places are limited, Register from this Link {see Register button at bottom right of page}. Note: Registration for the conference and the deeper dives and technical training is free of charge to OPN member Partners, but you will be responsible for your own travel and hotel expenses. Event Schedule During this event you can learn about partner success stories, participate in an array of break-out sessions, exchange information with other partners and enjoy a vibrant panel discussion. Nov. 12th  : Day 1 Main Plenary Session : Full day, starting 10.30 am.     Oracle Hosted Dinner in the Evening Nov. 13th  onwards Architecture Masterclass : IM Reference Architecture – Big Data and Little Data combined (1 day) BI-Apps Bootcamp  (4-days) Oracle GoldenGate workshop (1 day) Oracle Data Integrator and Oracle Enterprise Data Quality workshop (1 day)   For further information and detail download the Agenda (pdf) or contact Michael Hallett at [email protected].

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• Swiss Re increases data warehouse performance and deploys in record time

  - by KLaker

  Great information on yet another data warehouse deployment on Exadata. A little background on Swiss Re: In 2002, Swiss Re established a data warehouse for its client markets and products to gather reinsurance information across all organizational units into an integrated structure. The data warehouse provided the basis for reporting at the group level with drill-down capability to individual contracts, while facilitating application integration and data exchange by using common data standards. Initially focusing on property and casualty reinsurance information only, it now includes life and health reinsurance, insurance, and nonlife insurance information. Key highlights of the benefits that Swiss Re achieved by using Exadata: Reduced the time to feed the data warehouse and generate data marts by 58% Reduced average runtime by 24% for standard reports comfortably loading two data warehouse refreshes per day with incremental feeds Freed up technical experts by significantly minimizing time spent on tuning activities Most importantly this was one of the fastest project deployments in Swiss Re's history. They went from installation to production in just four months! What is truly surprising is the that it only took two weeks between power-on to testing the machine with full data volumes! Business teams at Swiss Re are now able to fully exploit up-to-date analytics across property, casualty, life, health insurance, and reinsurance lines to identify successful products. These points are highlighted in the following quotes from Dr. Stephan Gutzwiller, Head of Data Warehouse Services at Swiss Re:  "We were operating a complete Oracle stack, including servers, storage area network, operating systems, and databases that was well optimized and delivered very good performance over an extended period of time. When a hardware replacement was scheduled for 2012, Oracle Exadata was a natural choice—and the performance increase was impressive. It enabled us to deliver analytics to our internal customers faster, without hiring more IT staff" “The high quality data that is readily available with Oracle Exadata gives us the insight and agility we need to cater to client needs. We also can continue re-engineering to keep up with the increasing demand without having to grow the organization. This combination creates excellent business value.” Our full press release is available here: http://www.oracle.com/us/corporate/customers/customersearch/swiss-re-1-exadata-ss-2050409.html. If you want more information about how Exadata can increase the performance of your data warehouse visit our home page: http://www.oracle.com/us/products/database/exadata-database-machine/overview/index.html

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• How to recover data from NTFS partition that was made into a Swap partition?

  - by Raghav Mehta

  I have extremely important stuff on my windows partition which during the ubuntu 10.10 installation,when it said that I should create something called swap space, I selected it to be a swap space (without even knowing what it actually meant) The Grub2 doesn't show up so I don't get a choice to boot Ubuntu or Windows. I don't get my windows partition as a removable device in Ubuntu either. When I go to disk utility and select the sda2 (i.e.. my windows partition) and click edit partition and select HPFS/NTFS for the type and tick bootable and click OK the small processing sign keep on rotating on the bottom right of the sda2 in the chart and after about 10 to 15 minutes it gives an unknown error and thus, I am still unable to use my windows. I am even worse than a beginner who doesn't know a thing about Ubuntu so please be patient and help me out.

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• Does using structure data semantic LocalBusiness schema markup work for local EMD URL's?

  - by ElHaix

  Based on what I have read about Google's recent Panda and Penguin updates, I'm getting the impression that using semantic markup may help improve SEO results. On a EMD (exact match domain) site, that may have been hit, we list location-based products. We are now going to be adding a itemtype="http://schema.org/Product" to each product, with relevant details. However, that product may be available in Los Angeles and also in appear in a Seattle results page. We could add a LocalBusiness item type on each geo page to define the geo location for that page. While the definition states: A particular physical business or branch of an organization. Examples of LocalBusiness include a restaurant, a particular branch of a restaurant chain, a branch of a bank, a medical practice, a club, a bowling alley, etc. We could add use the location property which would simply include the city/state details. I realize that this looks like it is meant for a physical location, however could this be done without seeming black-hat?

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• Free Webinar - Using Enterprise Data Integration Dashboards

  - by andyleonard

  Join Kent Bradshaw and me as we present Using Enterprise Data Integration Dashboards Tuesday 11 Dec 2012 at 10:00 AM ET! If data is the life of the modern organization, data integration is the heart of an enterprise. Data circulation is vital. Data integration dashboards provide enterprise ETL (Extract, Transform, and Load) teams near-real-time status supported with historical performance analysis. Join Linchpins Kent Bradshaw and Andy Leonard as they demonstrate and discuss the benefits of data...(read more)

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• The Pipeline Limiter in SQL Server Integration Services (Video)

  Not many people understand that the Integration Services pipeline can be intentionally throttled back under the covers to stop you from running out of memory.  In this video we show you how to detect this is happening and explain more about the limiter itself.

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• At what point should data be sent back to server?

  - by whamsicore

  A good example would be the stackexchange "rate" button. When a post is upvoted the arrow changes color immediately. However there is a grace period for one to edit one's vote decision (oops! voted by mistake?). Is the upvote action processed immediately or does is only process after a set time period, or when the user leaves the page? How exactly is this rating processed? What is the standard for handling dynamic page edits (e.g. stackexchange rating, facebook posts?)

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• ADF Reusable Artefacts

  - by Arda Eralp

  Primary reusable ADF Business Component: Entity Objects (EOs) View Objects (VOs) Application Modules (AMs) Framework Extensions Classes Primary reusable ADF Controller: Bounded Task Flows (BTFs) Task Flow Templates Primary reusable ADF Faces: Page Templates Skins Declarative Components Utility Classes Certain components will often be used more than once. Whether the reuse happens within the same application, or across different applications, it is often advantageous to package these reusable components into a library that can be shared between different developers, across different teams, and even across departments within an organization. In the world of Java object-oriented programming, reusing classes and objects is just standard procedure. With the introduction of the model-view-controller (MVC) architecture, applications can be further modularized into separate model, view, and controller layers. By separating the data (model and business services layers) from the presentation (view and controller layers), you ensure that changes to any one layer do not affect the integrity of the other layers. You can change business logic without having to change the UI, or redesign the web pages or front end without having to recode domain logic. Oracle ADF and JDeveloper support the MVC design pattern. When you create an application in JDeveloper, you can choose many application templates that automatically set up data model and user interface projects. Because the different MVC layers are decoupled from each other, development can proceed on different projects in parallel and with a certain amount of independence. ADF Library further extends this modularity of design by providing a convenient and practical way to create, deploy, and reuse high-level components. When you first design your application, you design it with component reusability in mind. If you created components that can be reused, you can package them into JAR files and add them to a reusable component repository. If you need a component, you may look into the repository for those components and then add them into your project or application. For example, you can create an application module for a domain and package it to be used as the data model project in several different applications. Or, if your application will be consuming components, you may be able to load a page template component from a repository of ADF Library JARs to create common look and feel pages. Then you can put your page flow together by stringing together several task flow components pulled from the library. An ADF Library JAR contains ADF components and does not, and cannot, contain other JARs. It should not be confused with the JDeveloper library, Java EE library, or Oracle WebLogic shared library. Reusable Component Description Data Control Any data control can be packaged into an ADF Library JAR. Some of the data controls supported by Oracle ADF include application modules, Enterprise JavaBeans, web services, URL services, JavaBeans, and placeholder data controls. Application Module When you are using ADF Business Components and you generate an application module, an associated application module data control is also generated. When you package an application module data control, you also package up the ADF Business Components associated with that application module. The relevant entity objects, view objects, and associations will be a part of the ADF Library JAR and available for reuse. Business Components Business components are the entity objects, view objects, and associations used in the ADF Business Components data model project. You can package business components by themselves or together with an application module. Task Flows & Task Flow Templates Task flows can be packaged into an ADF Library JAR for reuse. If you drop a bounded task flow that uses page fragments, JDeveloper adds a region to the page and binds it to the dropped task flow. ADF bounded task flows built using pages can be dropped onto pages. The drop will create a link to call the bounded task flow. A task flow call activity and control flow will automatically be added to the task flow, with the view activity referencing the page. If there is more than one existing task flow with a view activity referencing the page, it will prompt you to select the one to automatically add a task flow call activity and control flow. If an ADF task flow template was created in the same project as the task flow, the ADF task flow template will be included in the ADF Library JAR and will be reusable. Page Templates You can package a page template and its artifacts into an ADF Library JAR. If the template uses image files and they are included in a directory within your project, these files will also be available for the template during reuse. Declarative Components You can create declarative components and package them for reuse. The tag libraries associated with the component will be included and loaded into the consuming project. You can also package up projects that have several different reusable components if you expect that more than one component will be consumed. For example, you can create a project that has both an application module and a bounded task flow. When this ADF Library JAR file is consumed, the application will have both the application module and the task flow available for use. You can package multiple components into one JAR file, or you can package a single component into a JAR file. Oracle ADF and JDeveloper give you the option and flexibility to create reusable components that best suit you and your organization. You create a reusable component by using JDeveloper to package and deploy the project that contains the components into a ADF Library JAR file. You use the components by adding that JAR to the consuming project. At design time, the JAR is added to the consuming project's class path and so is available for reuse. At runtime, the reused component runs from the JAR file by reference.

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• Visit our Consolidated List of Mandatory Project Costing Code and Data Fixes

  - by SherryG-Oracle

  Projects Support has a published document with a consolidated listing of mandatory code and data fixes for Project Costing.  Generic Data Fix (GDF) patches are created by development to fix data issues caused by bugs/issues in the application code.  The GDF patches are released for download via My Oracle Support which are then referenced in My Oracle Support documents and by support to provide data fixes for known code fix issues.Consolidated root cause code fix and generic data fix patches will be superceded whenever any new version is created.  These patches fix a number of critical code and data issues identified in the Project Costing flow.This document contains a consolidated list of code and data fixes for Project Costing.  The note lists the following details: Note ID Component Type (code or data) Abstract Patch Visit DocID 1538822.1 today!

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• Data Structures: What are some common examples of problems where "buffers" come into action?

  - by Dark Templar

  I was just wondering if there were some "standard" examples that everyone uses as a basis for explaining the nature of a problem that requires the use of a buffer. What are some well-known problems in the real world that can see great benefits from using a buffer? Also, a little background or explanation as to why the problem benefits from using a buffer, and how the buffer would be implemented, would be insightful for understanding the concept!

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• The Data Distribution Service for Real-Time Systems: Part 2

  Structuring and managing your data Data Distribution Service - Business - Data Distribution Service for Real-Time Systems - Databases - Data Warehousing

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• What processes would make the selling of a hard drive that previously held sensitive data justifiable? [closed]

  - by user12583188

  Possible Duplicate: Securely erasing all data from a hard drive In my personal collection are an increasing number of relatively new drives, only put on the shelf due to upgrades; in the past I have never sold hard drives with used machines for fear of having the encrypted password databases that have been stored on them compromised, but as their numbers increase I find myself more tempted to do so (due to the $$$ I know they're worth on the used market). What tools then exist to make the recovery of data from said drives difficult to the extent that selling them could be justified? Another way of saying this would be: what tools/method exist for making the attempts at recovery of any data previously stored on a certain drive impractical? I assume that it is always possible to recover data from a drive that is in working order. I assume also there are some methods for preventing recovery of data due a program called dban, and one particular feature in macOSX that deals with permanently deleting data from a disk.

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• Associate a texture to an object (from a data-model, not graphical point of view).

  - by Raveline

  I'm writing a roguelike where objects and floor can be made of different materials. For instance, let's say we can have a wooden chair, an iron chair, a golden chair, and so on. I've got an Object class (I know, the name is terrible), which is more or less using a composite pattern, and a Material class. Material have different important properties (noise, color...). For the time being, there are 5 different instances of materials, created at the initialization of the game. How would connect an instance of Object with one of the 5 instances of materials ? I see three simple solutions : Using a pointer. Simple and brutal. Using an integer material-id, then get the materials out of a table when engine manipulates the object for various purposes (display, attack analysis, etc.). Not very beautiful, I think, and not very flexible. Using an integer material-id, then get the materials out of a std::map. A bit more flexible, but still not perfect. Do you see other possibilities ? If not, what would you choose (and why) ? Thanks in advance !

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• populate uipicker view with results from core data DB using an NSArray

  - by Chris

  I am trying to populate a UIPickerView with the results of a NSFetchRequest. The results of the NSFetchRequest are then stored in an NSArray. I am using Core Data to interact with the SQLite DB. I have a simple class file that contains a UIPickerView that is associated with a storyboard scene in my project. The header file for the class looks like the following, ViewControllerUsers.h #import <UIKit/UIKit.h> #import "AppDelegate.h" @interface ViewControllerUsers : UIViewController <NSFetchedResultsControllerDelegate, UIPickerViewDelegate, UIPickerViewDataSource> { NSArray *dictionaries; } @property (nonatomic, strong) NSFetchedResultsController *fetchedResultsController; // Core Data @property (strong, nonatomic) NSManagedObjectContext *managedObjectContext; @property (nonatomic, strong) NSArray *users; @property (strong, nonatomic) IBOutlet UIPickerView *uiPickerViewUsers; @property (weak, nonatomic) IBOutlet UIBarButtonItem *btnDone; @property (weak, nonatomic) IBOutlet UIButton *btnChangePin; // added for testing purposes @property (nonatomic, strong) NSArray *usernames; - (IBAction)dismissScene:(id)sender; - (IBAction)changePin:(id)sender; @end The implementation file looks like the following, ViewControllerUsers.m #import "ViewControllerUsers.h" @interface ViewControllerUsers () @end @implementation ViewControllerUsers // Core Data @synthesize managedObjectContext = _managedObjectContext; @synthesize uiPickerViewUsers = _uiPickerViewUsers; @synthesize usernames = _usernames; - (id)initWithNibName:(NSString *)nibNameOrNil bundle:(NSBundle *)nibBundleOrNil { self = [super initWithNibName:nibNameOrNil bundle:nibBundleOrNil]; if (self) { // Custom initialization } return self; } - (void)viewDidLoad { [super viewDidLoad]; // Do any additional setup after loading the view. // Core Data if (_managedObjectContext == nil) { _managedObjectContext = [(AppDelegate *)[[UIApplication sharedApplication] delegate] managedObjectContext]; NSLog(@"After _managedObjectContext: %@", _managedObjectContext); } NSFetchRequest *request = [NSFetchRequest fetchRequestWithEntityName:@"Account"]; NSEntityDescription *entity = [NSEntityDescription entityForName:@"Account" inManagedObjectContext:_managedObjectContext]; request.resultType = NSDictionaryResultType; request.propertiesToFetch = [NSArray arrayWithObject:[[entity propertiesByName] objectForKey:@"username"]]; request.returnsDistinctResults = YES; _usernames = [_managedObjectContext executeFetchRequest:request error:nil]; NSLog (@"names: %@",_usernames); } -(NSInteger)numberOfComponentsInPickerView:(UIPickerView *)pickerView { //One column return 1; } -(NSInteger)pickerView:(UIPickerView *)pickerView numberOfRowsInComponent:(NSInteger)component { //set number of rows return _usernames.count; } -(NSString *)pickerView:(UIPickerView *)pickerView titleForRow:(NSInteger)row forComponent:(NSInteger)component { //set item per row return [_usernames objectAtIndex:row]; } - (void)didReceiveMemoryWarning { [super didReceiveMemoryWarning]; // Dispose of any resources that can be recreated. } - (void)viewDidUnload { [self setBtnDone:nil]; [self setUiPickerViewUsers:nil]; [self setBtnChangePin:nil]; [super viewDidUnload]; } - (IBAction)dismissScene:(id)sender { [self dismissModalViewControllerAnimated:YES]; } - (IBAction)changePin:(id)sender { } @end The current code is causing the app to crash, but the NSLog is show the results of the NSFetchRequest in the NSArray. I currently think that I am not formatting the results of the NSFetchRequest in the NSArray properly if I had to take a guess. The crash log looks like the following, 2013-06-26 16:49:24.219 KegCop[41233:c07] names: ( { username = blah; }, { username = chris; }, { username = root; } ) 2013-06-26 16:49:24.223 KegCop[41233:c07] -[NSKnownKeysDictionary1 isEqualToString:]: unrecognized selector sent to instance 0xe54d9a0 2013-06-26 16:49:24.223 KegCop[41233:c07] Terminating app due to uncaught exception 'NSInvalidArgumentException', reason: '-[NSKnownKeysDictionary1 isEqualToString:]: unrecognized selector sent to instance 0xe54d9a0' First throw call stack:

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• R concentrating data frame

  - by user1631503

  I have a data frame like this >X_com Day_1 Day_2 Day_3 Day_4 Day_5 Day_6 Day_7 Day_8 Day_9 Day_10 1 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 I need to concentrate all the values into one column and add another column with "1;" So I did this > X_new=matrix(1,8,2) > X_new[1,]=paste(X_com[1,1], X_com[1,2],X_com[1,3],X_com [1,4],X_com[1,5],X_com[1,6],X_com[1,7],X_com[1,8],X_com [1,9],X_com[1,10], sep="") > X_new[2,]=paste(X_com[2,1], X_com[2,2],X_com[2,3],X_com [2,4],X_com[2,5],X_com[2,6],X_com[2,7],X_com[2,8],X_com [2,9],X_com[2,10], sep="") > X_new[3,]=paste(X_com[3,1], X_com[3,2],X_com[3,3],X_com [3,4],X_com[3,5],X_com[3,6],X_com[3,7],X_com[3,8],X_com [3,9],X_com[3,10], sep="") > X_new[4,]=paste(X_com[4,1], X_com[4,2],X_com[4,3],X_com [4,4],X_com[4,5],X_com[4,6],X_com[4,7],X_com[4,8],X_com [4,9],X_com[4,10], sep="") > X_new[5,]=paste(X_com[5,1], X_com[5,2],X_com[5,3],X_com [5,4],X_com[5,5],X_com[5,6],X_com[5,7],X_com[5,8],X_com [5,9],X_com[5,10], sep="") > X_new[6,]=paste(X_com[6,1], X_com[6,2],X_com[6,3],X_com [6,4],X_com[6,5],X_com[6,6],X_com[6,7],X_com[6,8],X_com [6,9],X_com[6,10], sep="") > X_new[7,]=paste(X_com[7,1], X_com[7,2],X_com[7,3],X_com [7,4],X_com[7,5],X_com[7,6],X_com[7,7],X_com[7,8],X_com [7,9],X_com[7,10], sep="") > X_new[8,]=paste(X_com[8,1], X_com[8,2],X_com[8,3],X_com [8,4],X_com[8,5],X_com[8,6],X_com[8,7],X_com[8,8],X_com [8,9],X_com[8,10], sep="") > X_new[1:8,2]="1;" > as.data.frame(X_new) V1 V2 1 0000000001 1; 2 0000000000 1; 3 0000000000 1; 4 0000000000 1; 5 0000000000 1; 6 0000000000 1; 7 0000000000 1; 8 0000000000 1; I believe there's definitely a faster way of achieving this but have no clue. The other problem is, I have over a thousand of data frame like this needs to be concentrated. I'm still learning how to loop these repetitive steps but is progressing quite slowly. If the original data frames were named uniquely, does that mean I have no choice but to work on each of them individually? Thank you in advance.

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• A couple of questions on exceptions/flow control and the application of custom exceptions

  - by dotnetdev

  1) Custom exceptions can help make your intentions clear. How can this be? The intention is to handle or log the exception, regardless of whether the type is built-in or custom. The main reason I use custom exceptions is to not use one exception type to cover the same problem in different contexts (eg parameter is null in system code which may be effect by an external factor and an empty shopping basket). However, the partition between system and business-domain code and using different exception types seems very obvious and not making the most of custom exceptions. Related to this, if custom exceptions cover the business exceptions, I could also get all the places which are sources for exceptions at the business domain level using "Find all references". Is it worth adding exceptions if you check the arguments in a method for being null, use them a few times, and then add the catch? Is it a realistic risk that an external factor or some other freak cause could cause the argument to be null after being checked anyway? 2) What does it mean when exceptions should not be used to control the flow of programs and why not? I assume this is like: if (exceptionVariable != null) { } Is it generally good practise to fill every variable in an exception object? As a developer, do you expect every possible variable to be filled by another coder?

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• Flow control in a batch file

  - by dboarman-FissureStudios

  Reference Iterating arrays in a batch file I have the following: for /f "tokens=1" %%Q in ('query termserver') do ( if not ERRORLEVEL ( echo Checking %%Q for /f "tokens=1" %%U in ('query user %UserID% /server:%%Q') do (echo %%Q) ) ) When running query termserver from the command line, the first two lines are: Known ------------------------- ...followed by the list of terminal servers. However, I do not want to include these as part of the query user command. Also, there are about 4 servers I do not wish to include. When I supply UserID with this code, the program is promptly exiting. I know it has something to do with the if statement. Is this not possible to nest flow control inside the for-loop? I had tried setting a variable to exactly the names of the servers I wanted to check, but the iteration would end on the first server: set TermServers=Server1.Server2.Server3.Server7.Server8.Server10 for /f "tokens=2 delims=.=" %%Q in ('set TermServers') do ( echo Checking %%Q for /f "tokens=1" %%U in ('query user %UserID% /server:%%Q') do (echo %%Q) ) I would prefer this second example over the first if nothing else for cleanliness. Any help regarding either of these issues would be greatly appreciated.

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• flow 2 columns of text automatically with CSS

  - by Joseph Mastey

  I have the code similar to the following: <p>This is paragraph 1. Lorem ipsum ... </p> <p>This is paragraph 2. Lorem ipsum ... </p> <p>This is paragraph 3. Lorem ipsum ... </p> <p>This is paragraph 4. Lorem ipsum ... </p> <p>This is paragraph 5. Lorem ipsum ... </p> <p>This is paragraph 6. Lorem ipsum ... </p> I'd like to, without markup if possible, cause this text to flow into two columns (1-3 on the left, 4-6 on the right). The reason for my hesitation to add a column using a <div> is that this text is entered by the client via a WYSIWYG editor, so any elements I inject are likely to be killed later on inexplicably. Thanks, Joe

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• Finding Common Phrases in SQL Server TEXT Column

  - by regex

  Short Desc: I'm curious to see if I can use SQL Analysis services or some other SQL Server service to mine some data for me that will show commonalities between SQL TEXT fields in a dataset. Long Desc I am looking at a subset of data that consists of about 10,000 rows of TEXT blobs which are used as a notes column in a issue tracking (ticketing) software. I would like to use something out of the box (without having to build something) that might be able to parse through all of the rows and find commonly used byte sequences in the "Notes" column. In other words, I want to find commonly used phrases (two to three word phrases, so 9 - 20 character sections of the TEXT blob). This will help me better determine if associate's notes contain similar phrases (troubleshooting techniques) that we could standardize in our troubleshooting process flow. Closing Note I'd really rather not build an application to do this as my method will probably not be the most efficient way to do it. Hopefully all this makes sense. Please let me know in the comments if anything needs clarification.

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• Finding Common Phrases in MS SQL TEXT Column

  - by regex

  Hello All, Short Desc: I'm curious to see if I can use SQL Analysis services or some other MS SQL service to mine some data for me that will show commonalities between SQL TEXT fields in a dataset. Long Desc I am looking at a subset of data that consists of about 10,000 rows of TEXT blobs which are used as a notes column in a issue tracking (ticketing) software. I would like to use something out of the box (without having to build something) that might be able to parse through all of the rows and find commonly used byte sequences in the "Notes" column. In other words, I want to find commonly used phrases (two to three word phrases, so 9 - 20 character sections of the TEXT blob). This will help me better determine if associate's notes contain similar phrases (troubleshooting techniques) that we could standardize in our troubleshooting process flow. Closing Note I'd really rather not build an application to do this as my method will probably not be the most efficient way to do it. Hopefully all this makes sense. Please let me know in the comments if anything needs clarification. Thanks in advance for your help.

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• Finding Common Byte Sequences in MS SQL TEXT Column

  - by regex

  Hello All, Short Desc: I'm curious to see if I can use SQL Analysis services or some other MS SQL service to mine some data for me that will show commonalities between SQL TEXT fields in a dataset. Long Desc I am looking at a subset of data that consists of about 10,000 rows of TEXT blobs which are used as a notes column in a issue tracking (ticketing) software. I would like to use something out of the box (without having to build something) that might be able to parse through all of the rows and find commonly used byte sequences in the "Notes" column. In other words, I want to find commonly used phrases (two to three word phrases, so 9 - 20 character sections of the TEXT blob). This will help me better determine if associate's notes contain similar phrases (troubleshooting techniques) that we could standardize in our troubleshooting process flow. Closing Note I'd really rather not build an application to do this as my method will probably not be the most efficient way to do it. Hopefully all this makes sense. Please let me know in the comments if anything needs clarification. Thanks in advance for your help.

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• Dynamic Collapsable Flow Chart Online

  - by Simon

  Been looking through a number of other related posts relating to flowchart software. I have been asked to put together a document outlining some of the typical problems our users encounter with our software product. What I would like to do, is create an interactive/online flowchart that lets users choose from 4-5 overall headings on whats wrong. Then for this to dynamically expand more choices on pinpointing the problem, and so on and so on, until they can get a resolution to their problem. The key thing that I have not been able to find in some of the flowchart software out there, is having the click + expand element. - I dont want all options to appear to the end-user in a huge flow chart as it will distract away from their specific issue. - I want them to be able to click away and go down a specific avenue that will end up giving them some good things to try, based on their decisions/clicks. I was originally thinking of perhaps putting something in Flex or Silverlight (ideally someone would have a template out there) but am now thinking of taking advantage of 3rd party (ideally free) software. This will need to be hosted in a browser. Any ideas?

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• div with absolute position behind the normal flow

  - by vasion

  i am trying to get a div to be my background and am using absolute positioning to achieve it. everything works fine except for the fact that it appears above anything in the normal flow and fiddling with z-indexes does absolutely nothing. <div id="blind"> <div id="blindbackground"></div> <div id="blindcontainer"><div class="loader"><img class='loader' src="/img/loader.gif"/></div></div> <div id="blindclosecontainer"><img id='blindclose' src="/img/close.gif"/></div> </div> and this is the css: #blind{ position :absolute; width:100%; z-index: 2; border-bottom: 1px silver solid; } #blindclosecontainer{ text-align: right; } #blindbackground{ position:absolute; top:0; width:100%; height:100%; background-color: white; filter:alpha(opacity=60); opacity:0.6; } #blindcontainer{ margin:auto; width:500px; background-color: white; padding:10px; } .loader{ margin: auto; width:18px; margin-top:10px; margin-bottom: 5px; }

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