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  • How to commit a file conversion?

    - by l0b0
    Say you've committed a file of type foo in your favorite vcs: $ vcs add data.foo $ vcs commit -m "My data" After publishing you realize there's a better data format bar. To convert you can use one of these solutions: $ vcs mv data.foo data.bar $ vcs commit -m "Preparing to use format bar" $ foo2bar --output data.bar data.bar $ vcs commit -m "Actual foo to bar conversion" or $ foo2bar --output data.foo data.foo $ vcs commit -m "Converted data to format bar" $ vcs mv data.foo data.bar $ vcs commit -m "Renamed to fit data type" or $ foo2bar --output data.bar data.foo $ vcs rm data.foo $ vcs add data.bar $ vcs commit -m "Converted data to format bar" In the first two cases the conversion is not an atomic operation and the file extension is "lying" in the first commit. In the last case the conversion will not be detected as a move operation, so as far as I can tell it'll be difficult to trace the file history across the commit. Although I'd instinctively prefer the last solution, I can't help thinking that tracing history should be given very high priority in version control. What is the best thing to do here?

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  • Big Data – Buzz Words: What is NewSQL – Day 10 of 21

    - by Pinal Dave
    In yesterday’s blog post we learned the importance of the relational database. In this article we will take a quick look at the what is NewSQL. What is NewSQL? NewSQL stands for new scalable and high performance SQL Database vendors. The products sold by NewSQL vendors are horizontally scalable. NewSQL is not kind of databases but it is about vendors who supports emerging data products with relational database properties (like ACID, Transaction etc.) along with high performance. Products from NewSQL vendors usually follow in memory data for speedy access as well are available immediate scalability. NewSQL term was coined by 451 groups analyst Matthew Aslett in this particular blog post. On the definition of NewSQL, Aslett writes: “NewSQL” is our shorthand for the various new scalable/high performance SQL database vendors. We have previously referred to these products as ‘ScalableSQL‘ to differentiate them from the incumbent relational database products. Since this implies horizontal scalability, which is not necessarily a feature of all the products, we adopted the term ‘NewSQL’ in the new report. And to clarify, like NoSQL, NewSQL is not to be taken too literally: the new thing about the NewSQL vendors is the vendor, not the SQL. In other words - NewSQL incorporates the concepts and principles of Structured Query Language (SQL) and NoSQL languages. It combines reliability of SQL with the speed and performance of NoSQL. Categories of NewSQL There are three major categories of the NewSQL New Architecture – In this framework each node owns a subset of the data and queries are split into smaller query to sent to nodes to process the data. E.g. NuoDB, Clustrix, VoltDB MySQL Engines – Highly Optimized storage engine for SQL with the interface of MySQ Lare the example of such category. E.g. InnoDB, Akiban Transparent Sharding – This system automatically split database across multiple nodes. E.g. Scalearc  Summary In simple words – NewSQL is kind of database following relational database principals and provides scalability like NoSQL. Tomorrow In tomorrow’s blog post we will discuss about the Role of Cloud Computing in Big Data. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • The Best Articles for Backing Up and Syncing Your Data

    - by Lori Kaufman
    World Backup Day is March 31st and we decided to provide you with some useful information to make backing up your data easier. We’ve published articles about backing up various types of data and settings both offline and online. There’s all kinds of settings on your computer to backup in addition to your personal data, such as Wi-Fi passwords, drivers, and settings for programs like web browsers, Office, and Windows Live Writer. There are also many tools available to help you keep your data and settings backed up. Make Your Own Windows 8 Start Button with Zero Memory Usage Reader Request: How To Repair Blurry Photos HTG Explains: What Can You Find in an Email Header?

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  • Big Data Learning Resources

    - by Lara Rubbelke
    I have recently had several requests from people asking for resources to learn about Big Data and Hadoop. Below is a list of resources that I typically recommend. I'll update this list as I find more resources. Let's crowdsource this... Tell me your favorite resources and I'll get them on the list! Books and Whitepapers Planning for Big Data Free e-book Great primer on the general Big Data space. This is always my recommendation for people who are new to Big Data and are trying to understand it....(read more)

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  • Distortion in format of data in wordpad file when shifted from windows XP to winows 2007

    - by Harpreet
    I have many data files which were set to open in wordpad file in windows XP. Those files have a particular format for data, like following: Name of Data file No. of data columns Name of data in column_1 Name of data in column_2 . . . Name of data in column_n column_1 column_2 column_3 ... column_n Now my computer has been formatted and OS is changed to windows 2007, however when I open my data files in wordpad the above format of data is no more present. The format in wordpad in windows 2007 seems to be distorted. Does anyone knows what to do to restore the format as shown above, which is what the data used to look like in XP? I have attached the snap shot of the new distorted format of data as seen in wordpad in windows 2007. The snap shot shows 100 column names, however the data columns present are only 5 when it should be actually 100 data columns.

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  • Data Loading Issues? Try the new Demantra Data Load Guided Resolution

    - by user702295
    Hello!   Do you have data loading issues?  Perhaps you are trying the new partial schema export tool.   New to Demantra, the Data Load Guided Resolution, document 1461899.1.  This interactive guide will help you locate known solutions to previously discovered issues quickly.  From performance, ORA and ODPM errors to collections related issues that have no known hard number error.   This guide includes the diagnosis of data being imported into Demantra and data being exported from Demantra.  Contact me with any questions or suggestions.   Thank You!

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  • how to recover deleted ntfs patition with data entirely while installing ubuntu 13.04

    - by Anson Varghese
    I've installed ubuntu 13.04 onto my hp 2231tx computer. During installation all of my data was erased. I didn't know all of my three partitions would be deleted. I was shocked after finding out that all of my personal data was erased. I didn't know what to do to resolve this problem so I search google for an answer. I found a program called testdisk and I used it to recover about half of my data. Among this data weren't my personal photos and videos. Is there a way to recover the other half?

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  • E-Book on big data (featuring Analysts, Customers and more)

    - by Jean-Pierre Dijcks
    As we are gearing up for Openworld, here is a nice E-book on big data to start paging through. It contains Gartner's take on big data, customer and partner interviews and a lot more good info. Enjoy the read so you come prepared for Openworld!! Read the E-Book here. For those coming to Oracle Openworld (or the Americas Cup races around the same time), you can find big data sessions via this URL. Enjoy!!

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  • Choices in Architecture, Design, Algorithms, Data Structures for effective RDF Reasoning and Querying in a Big Data Environment [on hold]

    - by user2891213
    As part of my academic project I would like to know what choices in Architecture, Design, Algorithms, Data Structures do we need in order to provide effective and efficient RDF Reasoning and Querying in a Big Data Environment. Basically I want to get info regarding below points: What are the Systems and Software to get appropriate Architecture? What kind of API layer(s) would we need on top of the Big Data stores, to make this possible? The Indexing structures we will need. The appropriate Algorithms, and appropriate Algorithms for Query Planning across Big Data stores. The Performance Analysis and Cost Models we will need to justify the design decisions we have made along the way. Can anyone please provide pointers.. Thanks, David

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  • R and version control for the solo data analyst

    - by Jeromy Anglim
    Many data analysts that I respect use version control. For example: http://github.com/hadley/ See comments on http://permut.wordpress.com/2010/04/21/revision-control-statistics-bleg/ However, I'm evaluating whether adopting a version control system such as git would be worthwhile. A brief overview: I'm a social scientist who uses R to analyse data for research publications. I don't currently produce R packages. My R code for a project typically includes a few thousand lines of code for data input, cleaning, manipulation, analyses, and output generation. Publications are typically written using LaTeX. With regards to version control there are many benefits which I have read about, yet they seem to be less relevant to the solo data analyst. Backup: I have a backup system already in place. Forking and rewinding: I've never felt the need to do this, but I can see how it could be useful (e.g., you are preparing multiple journal articles based on the same dataset; you are preparing a report that is updated monthly, etc) Collaboration: Most of the time I am analysing data myself, thus, I woudln't get the collaboration benefits of version control. There are also several potential costs involved with adopting version control: Time to evaluate and learn a version control system A possible increase in complexity over my current file management system However, I still have the feeling that I'm missing something. General guides on version control seem to be addressed more towards computer scientists than data analysts. Thus, specifically in relation to data analysts in circumstances similar to those listed above: Is version control worth the effort? What are the main pros and cons of adopting version control? What is a good strategy for getting started with version control for data analysis with R (e.g., examples, workflow ideas, software, links to guides)?

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  • I keep on getting "save operation failure" after any change on my XCode Data Model

    - by Philip Schoch
    I started using Core Data for iPhone development. I started out by creating a very simple entity (called Evaluation) with just one string property (called evaluationTopic). I had following code for inserting a fresh string: - (void)insertNewObject { // Create a new instance of the entity managed by the fetched results controller. NSManagedObjectContext *context = [fetchedResultsController managedObjectContext]; NSEntityDescription *entity = [[fetchedResultsController fetchRequest] entity]; NSManagedObject *newManagedObject = [NSEntityDescription insertNewObjectForEntityForName:[entity name] inManagedObjectContext:context]; // If appropriate, configure the new managed object. [newManagedObject setValue:@"My Repeating String" forKey:@"evaluationTopic"]; // Save the context. NSError *error; if (![context save:&error]) { // Handle the error... } [self.tableView reloadData]; } This worked perfectly fine and by pushing the +button a new "My Repeating String" would be added to the table view and be in persistent store. I then pressed "Design - Add Model Version" in XCode. I added three entities to the existing entity and also added new properties to the existing "Evaluation" entity. Then, I created new files off the entities by pressing "File - New File - Managed Object Classes" and created a new .h and .m file for my four entities, including the "Evaluation" entity with Evaluation.h and Evaluation.m. Now I changed the model version by setting "Design - Data Model - Set Current Version". After having done all this, I changed my insertMethod: - (void)insertNewObject { // Create a new instance of the entity managed by the fetched results controller. NSManagedObjectContext *context = [fetchedResultsController managedObjectContext]; NSEntityDescription *entity = [[fetchedResultsController fetchRequest] entity]; Evaluation *evaluation = (Evaluation *) [NSEntityDescription insertNewObjectForEntityForName:[entity name] inManagedObjectContext:context]; // If appropriate, configure the new managed object. [evaluation setValue:@"My even new string" forKey:@"evaluationSpeechTopic"]; // Save the context. NSError *error; if (![context save:&error]) { // Handle the error... } [self.tableView reloadData]; } This does not work though! Every time I want to add a row the simulator crashes and I get the following: "NSInternalInconsistencyException', reason: 'This NSPersistentStoreCoordinator has no persistent stores. It cannot perform a save operation.'" I had this error before I knew about creating new version after changing anything on the datamodel, but why is this still coming up? Do I need to do any mapping (even though I just added entities and properties that did not exist before?). In the Apple Dev tutorial it sounds very easy but I have been struggling with this for long time, never worked after changing model version.

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  • Data Structure Behind Amazon S3s Keys (Filtering Data Structure)

    - by dimo414
    I'd like to implement a data structure similar to the lookup functionality of Amazon S3. For those of you who don't know what I'm taking about, Amazon S3 stores all files at the root, but allows you to look up groups of files by common prefixes in their names, therefore replicating the power of a directory tree without the complexity of it. The catch is, both lookup and filter operations are O(1) (or close enough that even on very large buckets - S3's disk equivalents - both operations might as well be O(1))). So in short, I'm looking for a data structure that functions like a hash map, with the added benefit of efficient (at the very least not O(n)) filtering. The best I can come up with is extending HashMap so that it also contains a (sorted) list of contents, and doing a binary search for the range that matches the prefix, and returning that set. This seems slow to me, but I can't think of any other way to do it. Does anyone know either how Amazon does it, or a better way to implement this data structure?

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  • Best Data Structure For Time Series Data

    - by TriParkinson
    Hi all, I wonder if someone could take a minute out of their day to give their two cents on my problem. I would like some suggestions on what would be the best data structure for representing, on disk, a large data set of time series data. The main priority is speed of insertion, with other priorities in decreasing order; speed of retrieval, size on disk, size in memory, speed of removal. I have seen that B+ trees are often used in database because of their fast search times, but how about for fast insertion times? Is a linked list really the way to go? Thanks in advance for your time, Tri

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  • MySQL: Blank row in table after LOAD DATA INFILE

    - by Tom
    Hi, I'm uploading a large amount of data from a CSV (I'm doing it via MySQL Workbench): LOAD DATA INFILE 'C:/development/mydoc.csv' INTO TABLE mydatabase.mytable CHARACTER SET utf8 FIELDS TERMINATED BY ',' OPTIONALLY ENCLOSED BY '"' LINES TERMINATED BY '\r'; However, I'm noticing that it keeps adding an empty line full of nulls/zeros after the last record. I'm guessing it's because of the "LINES TERMINATED" command. However, I need that to load the data in correctly. Is there some way around this / some better SQL to avoid the blank row in the table? Thanks

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  • Update tableview instantly as data pushed in core data iphone

    - by user336685
    I need to update the tableview as soon as the content is pushed in core data database. for this AppDelegate.m contains following code NSManagedObjectContext *moc = [self managedObjectContext]; NSFetchRequest *request = [[NSFetchRequest alloc] init]; [request setEntity:[NSEntityDescription entityForName:@"FeedItem" inManagedObjectContext:moc]]; //for loop // push data in code data & then save context [moc save:&error]; ZAssert(error == nil, @"Error saving context: %@", [error localizedDescription]); //for loop ends This code triggers following code from RootviewController.m - (void)controllerWillChangeContent:(NSFetchedResultsController*)controller { [[self tableView] beginUpdates]; } But this updates the tableview only at the end of the for loop ,the table does not get updated after immediate push in db. I tried following code but that didn't work - (void)controllerDidChangeContent:(NSFetchedResultsController *)controller { // In the simplest, most efficient, case, reload the table view. [self.tableView reloadData]; } I have been stuck with this problem for several days.Please help.Thanks in advance for solution.

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  • Core Data data type for just the date - not including time

    - by Jason
    I am new at Core Data, and it seems like it is a great way to manage the data store. However I am also very memory-conscious due to the fact that the iPhone doesn't have that much of it. I was a little surprised to see that the data types are so limited - eg. there is a Date type which includes also the time, but no Date type for just the date! All the time information takes up precious bytes of memory, if I just wanted an attribute with the date (e.g. 2/15/2010 rather than 2/15/2010 02:34:48), how could I do this? Is it possible?

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  • Clever ways of implementing different data structures in C & data structures that should be used mor

    - by Yktula
    What are some clever (not ordinary) ways of implementing data structures in C, and what are some data structures that should be used more often? For example, what is the most effective way (generating minimal overhead) to implement a directed and cyclic graph with weighted edges in C? I know that we can store the distances in an array as is done here, but what other ways are there to implement this kind of a graph?

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  • Multiple Control Templates for a custom control in Silverlight

    - by Tada
    I am creating a custom control. The contents of the control will differ a lot when in different visual states. Can I to achieve the above, apply different control templates to the same custom control? That is define more than one control template for a custom control? If not, any clues as to how I can do this, without have as many custom/user controls as there are states?

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  • Using GameKit to transfer CoreData data between iPhones, via NSDictionary

    - by OscarTheGrouch
    I have an application where I would like to exchange information, managed via Core Data, between two iPhones. First turning the Core Data object to an NSDictionary (something very simple that gets turned into NSData to be transferred). My CoreData has 3 string attributes, 2 image attributes that are transformables. I have looked through the NSDictionary API but have not had any luck with it, creating or adding the CoreData information to it. Any help or sample code regarding this would be greatly appreciated.

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  • core-data relationships and data structure.

    - by Boaz
    What is the right way to build iPhone core data for this SMS like app (with location)? - I want to represent an entity of conversation with "profile1" "profile2" that heritage from a profile entity, and a message entity with: "to" "from" "body" where the "to" and "from" are equal to "profile1" and/or "profile2" in the conversation entity. How can I make such a relationships? is there a better way to represent the data (other structure)? Thanks

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