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  • Drawing different per-pixel data on the screen

    - by Amir Eldor
    I want to draw different per-pixel data on the screen, where each pixel has a specific value according to my needs. An example may be a random noise pattern where each pixel is randomly generated. I'm not sure what is the correct and fastest way to do this. Locking a texture/surface and manipulating the raw pixel data? How is this done in modern graphics programming? I'm currently trying to do this in Pygame but realized I will face the same problem if I go for C/SDL or OpenGL/DirectX.

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  • Data Recovery using testDisk failing!

    - by iamcreasy
    I am trying to recover an accidentally formatted partition using testDisk, After selecting the partition[pic 1] and selecting Undeleted[pic 1], it says, No deleted file found.[pic 2] 1 2 I know it's a silly question, but I just want to make sure that those data are really out of reach. Or is there anything I can do to recover them? :( I tried to repair my partition table using bootrec.exe/FixMBR & bootrec.exe/FixBoot, can this be the reason why testdisk can't work anymore? I haven't written anything on that partition. Is there any low level approach to retrieve all the lost data?

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  • Removing mdadm array and converting to regular disks while preserving data

    - by Jeffrey Kevin Pry
    I have a 6 disk (2TB each) mdadm RAID 5 volume created in Ubuntu 12.04 Server. However, I'm moving to a different solution and want to "unraid" my disks but keep the data. Only 50% is in use. From what I can surmise I basically have to do this recursively for each physical disk. Fail the disk Format the failed disk Move a portion of files to the new disk. Reshape the array Shrink the logical volume md0 This seems like a very time consuming process. Is there an easier way to do this (automatically perhaps) without buying new disks to temporarily hold the data? I am also aware that during this processing my RAID volume will be degraded and vulnerable the entire time. I am not too concerned about this and will be using battery backup and moving the most important files off first. Thank you for your help!

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  • Un-used Indexes on MDP_MATRIX Consuming Resources

    - by user702295
    Disable un-used Indexes: As much as it is recommended to create relevant indexes, it is advised not to have too many indexes on the mdp_matrix table.  Too many indexes will cause long waits on the table as indexes needs to get updated every time the table is updated.  There are many seeded indexes on mdp_matrix, every out of the box data model level has an index on the matrix table.  If a level is unused in the specific data model of the implementation, it is advisable to disable that index.  If the customer is not sure if and how indexes are utilized, the DBA can monitor all indexes.  After a few cycles of operation, the DBA should go over that list and see which indexes have not been used.  Consider disabling them. There are scripts on the net to monitor indexes or use the monitoring usage clause in the alter index statement.

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  • Improving Shopfloor Data Collection with Oracle Manufacturing Operations Center

    Successful factories around the world leverage information to drive their production and supply chains. New tools are available today to further catapult the data collection, analysis, contextualization and collaboration to the various stakeholders involved in the manufacturing process. Oracle Manufacturing Operations Center (MOC) addresses the factory's need for accurate and timely information about product and process quality, insight into shop floor operations, and performance of production assets. It solves the complex problem of connecting fragmented disconnected shop floor data to the business context of your ERP and provides the solid foundation for running Continuous Improvement (CI) programs such as Lean and Six Sigma.

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  • Persisting natural language processing parsed data

    - by tjb1982
    I've recently started experimenting with natural language processing (NLP) using Stanford's CoreNLP, and I'm wondering what are some of the standard ways to store NLP parsed data for something like a text mining application? One way I thought might be interesting is to store the children as an adjacency list and make good use of recursive queries (Postgres supports this and I've found it works really well). But I assume there are probably many standard ways to do this depending on what kind of analysis is being done that have been adopted by people working in the field over the years. So what are the standard persistence strategies for NLP parsed data and how are they used?

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  • How to ramp up my data structures skills after a long hibernation

    - by Anon
    I was pretty good with algorithms and data structures once, a long long time ago. Since then, I programmed professionally, and then went to manage a small team, which totally shot my tech skills in this field back. I've decided I want to be a developer again, and work for Google. The thing is, I'm so out of practice, that if I were to be interviewed right now I would surely flunk out in 10 minutes. What training program would you recommend for me to get back into shape? I already started this weekend by going back to the absolute basics and implementing a few sort algorithms, linked list, and hash table. Next, I think I'll read through the entire course material on the other basic data structures and graph algorithms. I want to find a focused set of practical exercises I can do in a relatively short amount of time, to juggle the old brain cells. I know this stuff - I just need to remind myself that I know it.

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  • nagios3 Error: Could not read object configuration data!

    - by user1493730
    I have a brand new install of nagios3 on ubuntu 12.04. After I log in to the web interface and click any link I get the error: Error: Could not read object configuration data! Here are some things you should check in order to resolve this error: Verify configuration options using the -v command-line option to check for errors. Check the Nagios log file for messages relating to startup or status data errors. I ran it with the -v option and it reported no errors: Total Warnings: 0 Total Errors: 0 Things look okay - No serious problems were detected during the pre-flight check The nagios log and apache error log and debug log all have nothing regarding this. Does anyone know how to turn on logging that will give me some kind of useful error? Or if anyone knows how to fix this specific problem without additional logging, I guess that's okay too. Thanks!

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  • Google Analytics Export API - nextPagePath data

    - by Btibert3
    I am probably missing something obvious, but I do not understand when I query: start.date = DATE_START, end.date = DATE_END, dimensions = c("ga:pagePath","ga:previousPagePath"), metrics = c("ga:pageviews"), filters = mypageofinterest, table.id = "ga:mytable", max.results=RESULTS my data return as expected, all of the previous pages including (entrance). However, when I modify the code to be nextPagePath start.date = DATE_START, end.date = DATE_END, dimensions = c("ga:pagePath","ga:nextPagePath"), metrics = c("ga:pageviews"), filters = mypageofinterest, table.id = "ga:mytable", max.results=RESULTS only one line of data are returned; the pagepath and nextpagepath are identical with itself. I replicated this result using the Query Explorer. What am I missing or doing wrong? I was expecting to see a large number of "next" pages, including (exit). Thanks in advance.

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  • SQLSaturday #60 - Cleveland Rocks!

    - by Mike C
    Looking forward to seeing all the DBAs, programmers and BI folks in Cleveland at SQLSaturday #60 tomorrow! I'll be presenting on (1) Intro to Spatial Data and (2) Build Your Own Search Engine in SQL. I've reworked the Spatial Data presentation based on feedback from previous SQLSaturday events and added more sample code. I also expanded the Build Your Own Search Engine code samples to demonstrate additional FILESTREAM functionality. See you all tomorrow! A little road music, please! http://www.youtube.com/watch?v=vU0JpyH1gC...(read more)

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  • Skynet Big Data Demo Using Hexbug Spider Robot, Raspberry Pi, and Java SE Embedded (Part 4)

    - by hinkmond
    Here's the first sign of life of a Hexbug Spider Robot converted to become a Skynet Big Data model T-1. Yes, this is T-1 the precursor to the Cyberdyne Systems T-101 (and you know where that will lead to...) It is demonstrating a heartbeat using a simple Java SE Embedded program to drive it. See: Skynet Model T-1 Heartbeat It's alive!!! Well, almost alive. At least there's a pulse. We'll program more to its actions next, and then finally connect it to Skynet Big Data to do more advanced stuff, like hunt for Sara Connor. Java SE Embedded programming makes it simple to create the first model in the long line of T-XXX robots to take on the world. Raspberry Pi makes connecting it all together on one simple device, easy. Next post, I'll show how the wires are connected to drive the T-1 robot. Hinkmond

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  • High Tech Product Companies: Benchmark Your Sales & Marketing Data Management

    - by user709269
    Aberdeen’s Q4 2010 Quarterly Business Review found that 74% of the Sales and Marketing organizations in High Tech product manufacturing have strategic CRM initiatives in 2011. Aberdeen Group is conducting a survey that will help high tech product companies such as yours determine the Best-in-Class procedures for capturing, managing, and disseminating business data. If your product company is planning on implementing a CRM solution or is simply evaluating the potential benefits, we would appreciate your feedback in this brief, 10-minute survey. You will be able to compare your experiences in leveraging customer information for sales and marketing compare with your peers, benchmark your performance, and see how you can achieve Best-in-Class results. Individual responses will be kept strictly confidential, and data will only be used in aggregate. In appreciation for sharing your time and thoughts with us, we will provide complimentary access for you to the full benchmark report as soon as it is published (a $399 value). Take the survey.

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  • Mass Transit Visualizations Reveal Cities’ Daily Movements [Video]

    - by Jason Fitzpatrick
    If you’re a sucker for data visualization–and we certainly are–this collection of mass transit data visualized over city maps are fascinating and makes mass transit look like a cell culture unfolding. Check out one day in the life of the New York City mass transit system in the video above and then hit up the link below to check out other cities including Chicago, Washington D.C., Boston, and Manchester. Mesmerizing Visualizations Show Mass-Transit Patterns of Major Cities [Wired] HTG Explains: Does Your Android Phone Need an Antivirus? How To Use USB Drives With the Nexus 7 and Other Android Devices Why Does 64-Bit Windows Need a Separate “Program Files (x86)” Folder?

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  • Using Microsoft&apos;s Chart Controls In An ASP.NET Application: Serializing Chart Data

    In most usage scenarios, the data displayed in a Microsoft Chart control comes from some dynamic source, such as from a database query. The appearance of the chart can be modified dynamically, as well; past installments in this article series showed how to programmatically customize the axes, labels, and other appearance-related settings. However, it is possible to statically define the chart's data and appearance strictly through the control's declarative markup. One of the demos examined in the <a href="http://www.4guysfromrolla.com/articles/072209-1.aspx">Getting Started</a> article rendered a column chart with seven columns whose labels and values were defined statically in the <code>&lt;asp:Series&gt;</code> tag's

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  • Microsoft Access 2010: How to Add, Edit, and Delete Data in Tables

    Tables are such an integral part of databases and corresponding tasks in Access 2010 because they act as the centers that hold all the data. They may be basic in format, but their role is undeniably important. So, to get you up to speed on working with tables, let's begin adding, editing, and deleting data. These are very standard tasks that you will need to employ from time to time, so it is a good idea to start learning how to execute them now. As is sometimes the case with our tutorials, we will be working with a specific sample. To learn the tasks, read over the tutorial and then apply...

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  • Converting large files in python

    - by Cenoc
    I have a few files that are ~64GB in size that I think I would like to convert to hdf5 format. I was wondering what the best approach for doing so would be? Reading line-by-line seems to take more than 4 hours, so I was thinking of using multiprocessing in sequence, but was hoping for some direction on what would be the most efficient way without resorting to hadoop. Any help would be very much appreciated. (and thank you in advance) EDIT: Right now I'm just doing a for line in fd: approach. After that right now I just check to make sure I'm picking out the right sort of data, which is very short; I'm not writing anywhere, and it's taking around 4 hours to complete with that. I can't read blocks of data because the blocks in this weird file format I'm reading are not standard, it switches between three different sizes... and you can only tell which by reading the first few characters of the block.

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