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  • 12.10 blue screen, desktop environnement does not load

    - by louis
    just upgraded to Ubuntu 12.10. I can't reach the desktop, it is stuck on the blue screen, the desktop environnement does not load. Can you help please? config: thinkpad T400, 6 GB of Ram, graphic card: Intel Gma 4500Mhd lspci | grep VGA 00:02.0 VGA compatible controller: Intel Corporation Mobile 4 Series Chipset Integrated Graphics Controller (rev 07) I am not sure I have not messed up lightdm / gdm previously...

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  • Reporting a WCF application's status to F5's Big IP products

    - by ng5000
    In a Windows Server 2003 environment with a self hosted .Net 3.5/WCF application, how can an application report its status to a BigIP Local Traffic Manager? Example: One of my services errors. My custom WCF application hosting software (written because Windows Server 2008 is not yet available and I'm using WCF TCP bindings) detects this and wants to report itself as down until it can recover the errant service. It needs to report itself as down to the BigIP LTM so that it is no longer sent client originated requests.

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  • analysis Big Oh notation psuedocode

    - by tesshu
    I'm having trouble getting my head around algorithm analysis. I seem to be okay identifying linear or squared algorithms but am totally lost with nlogn or logn algorithms, these seem to stem mainly from while loops? Heres an example I was looking at: Algorithm Calculate(A,n) Input: Array A of size n t?0 for i?0 to n-1 do if A[i] is an odd number then Q.enqueue(A[i]) else while Q is not empty do t?t+Q.dequeue() while Q is not empty do t?t+Q.dequeue() return t My best guess is the for loop is executed n times, its nested while loop q times making NQ and the final while loop also Q times resulting in O(NQ +Q) which is linear? I am probably totally wrong. Any help would be much appreciated. thanks

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  • Big-O for calculating all routes from GPS data

    - by HH
    A non-critical GPS module use lists because it needs to be modifiable, new routes added, new distances calculated, continuos comparisons. Well so I thought but my team member wrote something I am very hard to get into. His pseudo code int k =0; a[][] <- create mapModuleNearbyDotList -array //CPU O(n) for(j = 1 to n) // O(nlog(m)) for(i =1 to n) for(k = 1 to n) if(dot is nearby) adj[i][j]=min(adj[i][j], adj[i][k] + adj[k][j]); His ideas transformations of lists to tables His worst case time complexity is O(n^3), where n is number of elements in his so-called table. Exception to the last point with Finite structure: O(mlog(n)) where n is number of vertices and m is the amount of neighbour vertices. Questions about his ideas why to waste resources to transform constantly-modified lists to table? Fast? only point where I to some extent agree but cannot understand the same upper limits n for each for-loops -- perhaps he supposed it circular why does the code take O(mlog(n)) to proceed in time as finite structure? The term finite may be wrong, explicit?

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  • Big-O for GPS data

    - by HH
    A non-critical GPS module use lists because it needs to be modifiable, new routes added, new distances calculated, continuos comparisons. Well so I thought but my team member wrote something I am very hard to get into. His pseudo code int k =0; a[][] <- create mapModuleNearbyDotList -array //CPU O(n) for(j = 1 to n) // O(nlog(m)) for(i =1 to n) for(k = 1 to n) if(dot is nearby) adj[i][j]=min(adj[i][j], adj[i][k] + adj[k][j]); His ideas transformations of lists to tables His worst case time complexity is O(n^3), where n is number of elements in his so-called table. Exception to the last point with Finite structure: O(mlog(n)) where n is number of vertices and m is an arbitrary constants Questions about his ideas why to waste resources to transform constantly-modified lists to table? Fast? only point where I to some extent agree but cannot understand the same upper limits n for each for-loops -- perhaps he supposed it circular why does the code take O(mlog(n)) to proceed in time as finite structure? The term finite may be wrong, explicit?

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  • Big-O for Eight Year Olds?

    - by Jason Baker
    I'm asking more about what this means to my code. I understand the concepts mathematically, I just have a hard time wrapping my head around what they mean conceptually. For example, if one were to perform an O(1) operation on a data structure, I understand that the amount of operations it has to perform won't grow because there are more items. And an O(n) operation would mean that you would perform a set of operations on each element. Could somebody fill in the blanks here? Like what exactly would an O(n^2) operation do? And what the heck does it mean if an operation is O(n log(n))? And does somebody have to smoke crack to write an O(x!)?

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  • big background without scrolls

    - by mkoso
    I have layout that has wider background picture than the content area. I have made 970ppx wrapper where the content is. And in body I have backgroud image but I need to have anothen background image above of tht body background image so I have made class bgimg. So basically the markup is like this: But the bgimg is about 1050px wide and thus it gives scrolls when users browser is 1024x768. Is there way of getting rid the scrolls? I mean I want to have have scrollbars if users browrser is narrower thant the 970x wrapper of course. So can I put something like overflow hidden for bgimg class? Hopefully you did understannd what I mean.

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  • How can I troubleshoot a "Hardware Malfunction" blue screen?

    - by AaronSieb
    My computer has suddenly started crashing to a blue screen with the following text: hardware malfunction call your hardware vendor for support *the system has halted* The crash occurs randomly during normal use. I have thus far always been able to reproduce it by transferring the contents of a large folder... But I'm not sure if this is caused by the file transfer, or simply because the transfer takes long enough for something else to trigger it. A bit about my hardware I have an dual core Intel CPU, and Asus motherboard. Video card is by nVidia, and connects via PCIe. My hard drives are in pairs, and connect via SATA to a RAID controller on the motherboard. They are configured to use a RAID0 configuration. What I've tried so far There is nothing in the Windows Event Log. WhoCrashed was unable to find any crash records. ScanDisk runs to completion (it launches prior to Windows load) and reports no errors. MemTest reports no errors (to 200% coverage). System temperatures are in the range of 40 to 50 degrees Celsius, with video card temperatures in the range of 60 to eighty degrees Celsius. I have stripped the system down to a minimal configuration (hard drive, video card, one memory module, motherboard, CPU, power supply). The problem still occurrs. However, this has allowed me to rule out a few components: It is not the video card because the problem still occurred after replacing the video card another one I had on hand. It is not the hard drive or anything software related because the problem occurred after a fresh installation of Windows on a replacement hard drive. It is not the hard drive cables because I replaced those with new ones and still had the problem. It is not the power supply because the problem still occurred after replacing the power supply with another one I had on hand. It is probably not the memory because I've tried three different memory modules in three different memory slots and was still able to replicate the issue. Is there anything I can do to confirm what's causing the issue? At the moment it seems as though it must be either the motherboard or CPU, but those are both difficult components to replace... In addition, both components are relatively new (two to three years old). I will gladly edit in any additional information I can get my hands on, and/or focus the question as I can find more details...

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  • Tackling Big Data Analytics with Oracle Data Integrator

    - by Irem Radzik
    v\:* {behavior:url(#default#VML);} o\:* {behavior:url(#default#VML);} w\:* {behavior:url(#default#VML);} .shape {behavior:url(#default#VML);} Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* 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:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman","serif"; mso-fareast-font-family:"Times New Roman";}  By Mike Eisterer  The term big data draws a lot of attention, but behind the hype there's a simple story. For decades, companies have been making business decisions based on transactional data stored in relational databases. Beyond that critical data, however, is a potential treasure trove of less structured data: weblogs, social media, email, sensors, and documents that can be mined for useful information.  Companies are facing emerging technologies, increasing data volumes, numerous data varieties and the processing power needed to efficiently analyze data which changes with high velocity. Oracle offers the broadest and most integrated portfolio of products to help you acquire and organize these diverse data sources and analyze them alongside your existing data to find new insights and capitalize on hidden relationships Oracle Data Integrator Enterprise Edition(ODI) is critical to any enterprise big data strategy. ODI and the Oracle Data Connectors provide native access to Hadoop, leveraging such technologies as MapReduce, HDFS and Hive. Alongside with ODI’s metadata driven approach for extracting, loading and transforming data; companies may now integrate their existing data with big data technologies and deliver timely and trusted data to their analytic and decision support platforms. In this session, you’ll learn about ODI and Oracle Big Data Connectors and how, coupled together, they provide the critical integration with multiple big data platforms. Tackling Big Data Analytics with Oracle Data Integrator October 1, 2012 12:15 PM at MOSCONE WEST – 3005 For other data integration sessions at OpenWorld, please check our Focus-On document.  If you are not able to attend OpenWorld, please check out our latest resources for Data Integration.

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  • Business Intelligence goes Big Data

    - by Alliances & Channels Redaktion
    Big Data stellt die nächste große Herausforderung für die IT-Branche dar: Massen von Daten aus immer mehr Quellen – aus sozialen Netzwerken, Telekommunikations- und Weblogs, RFID-Lesern etc. – müssen logisch verknüpft, in Echtzeit integriert und verarbeitet werden. Doch wie sieht es mit der praktischen Umsetzung aus? Eine europaweite Studie von Steria Mummert Consulting zeigt: Lediglich 28 % der Unternehmen haben bereits heute eine übergreifende, abgestimmte Business-Intelligence-Strategie implementiert. Vorherrschend sind BI-Insellösungen, die schon jetzt an den Grenzen ihrer Kapazität arbeiten. Daten werden also bisher nur eingeschränkt als wertschöpfende Ressource genutzt! Das Ergebnis der Studie klingt erschreckend, doch Unternehmen können es zu Ihrem Vorteil nutzen: Wer jetzt das Thema Big Data anpackt, kann sich einen gewinnbringenden Vorsprung vor dem Wettbewerb sichern. Wie sieht die Analyse-Umgebung der Zukunft aus? Wie und wo kann Big Data für den Geschäftserfolg genutzt werden? Antworten darauf liefert die Kunden-Event Reihe von Oracle und dem Oracle Platinum Partner Steria Mummert Consulting: Hier werden Strategien entwickelt, wie Unternehmen mit Information Discovery ihr BI-Potenzial auf dem Weg zur Big Data Schritt für Schritt ausbauen können. Highlights aus München Durchweg positives Feedback haben wir aus München, der ersten Station der Eventreihe am 23.7., erhalten: Nicht nur die tolle Location, das "La Villa" im Bamberger Haus, überzeugte. Die 31 Teilnehmerinnen und Teilnehmer konnten auch inhaltlich eine Menge mitnehmen – unter anderem einen konkreten Vorschlag für ihre eigene Roadmap in Richtung Big Data. Die Ausgangsfrage des Tages lautete – einfach und umfassend zugleich: Wie können wir den Überblick in einer komplexen Welt behalten? Den Status quo in Europa für Business Intelligence präsentierte Steria Mummert Consulting entlang der Europäischen biMA®-Studie 2012/13. Anhand von Anwendungsbeispielen aus ihrer Praxis präsentierten die geladenen Experten von Oracle und Steria Mummert Consulting verschiedene Lösungsansätze. Eine sehr anschauliche Demo zu Endeca zeigte beispielsweise, wie einfach und flexibel ein Dashboard sein kann: Hier gibt es keine vordefinierten Reports, stattdessen können Entscheider die Filter einfach per Drag & Drop verändern und bekommen so einen individuell sturkturierten Überblick über ihre Daten. Einen Ausblick bot die Session zu Oracle Business Analytics für mobile Anwendungen und Real-Time Decisions. Fazit: eine gelungene Mischung aus Überblicks-Informationen und ganz konkreten Ideen für die spezifischen Anwendungsbereiche der Kunden. Die Eventreihe „BI goes Big Data“ macht im August in Hamburg und Frankfurt Station. Die kostenfreie Veranstaltung findet zusammen mit Steria Mummert Consulting statt und richtet sich an Endkunden. In Hamburg am 14.8.2013 – zur AnmeldungIn Frankfurt a.M. am 20.8.2013 – zur Anmeldung

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  • Business Intelligence goes Big Data

    - by Alliances & Channels Redaktion
    Big Data stellt die nächste große Herausforderung für die IT-Branche dar: Massen von Daten aus immer mehr Quellen – aus sozialen Netzwerken, Telekommunikations- und Weblogs, RFID-Lesern etc. – müssen logisch verknüpft, in Echtzeit integriert und verarbeitet werden. Doch wie sieht es mit der praktischen Umsetzung aus? Eine europaweite Studie von Steria Mummert Consulting zeigt: Lediglich 28 % der Unternehmen haben bereits heute eine übergreifende, abgestimmte Business-Intelligence-Strategie implementiert. Vorherrschend sind BI-Insellösungen, die schon jetzt an den Grenzen ihrer Kapazität arbeiten. Daten werden also bisher nur eingeschränkt als wertschöpfende Ressource genutzt! Das Ergebnis der Studie klingt erschreckend, doch Unternehmen können es zu Ihrem Vorteil nutzen: Wer jetzt das Thema Big Data anpackt, kann sich einen gewinnbringenden Vorsprung vor dem Wettbewerb sichern. Wie sieht die Analyse-Umgebung der Zukunft aus? Wie und wo kann Big Data für den Geschäftserfolg genutzt werden? Antworten darauf liefert die Kunden-Event Reihe von Oracle und dem Oracle Platinum Partner Steria Mummert Consulting: Hier werden Strategien entwickelt, wie Unternehmen mit Information Discovery ihr BI-Potenzial auf dem Weg zur Big Data Schritt für Schritt ausbauen können. Highlights aus München Durchweg positives Feedback haben wir aus München, der ersten Station der Eventreihe am 23.7., erhalten: Nicht nur die tolle Location, das "La Villa" im Bamberger Haus, überzeugte. Die 31 Teilnehmerinnen und Teilnehmer konnten auch inhaltlich eine Menge mitnehmen – unter anderem einen konkreten Vorschlag für ihre eigene Roadmap in Richtung Big Data. Die Ausgangsfrage des Tages lautete – einfach und umfassend zugleich: Wie können wir den Überblick in einer komplexen Welt behalten? Den Status quo in Europa für Business Intelligence präsentierte Steria Mummert Consulting entlang der Europäischen biMA®-Studie 2012/13. Anhand von Anwendungsbeispielen aus ihrer Praxis präsentierten die geladenen Experten von Oracle und Steria Mummert Consulting verschiedene Lösungsansätze. Eine sehr anschauliche Demo zu Endeca zeigte beispielsweise, wie einfach und flexibel ein Dashboard sein kann: Hier gibt es keine vordefinierten Reports, stattdessen können Entscheider die Filter einfach per Drag & Drop verändern und bekommen so einen individuell sturkturierten Überblick über ihre Daten. Einen Ausblick bot die Session zu Oracle Business Analytics für mobile Anwendungen und Real-Time Decisions. Fazit: eine gelungene Mischung aus Überblicks-Informationen und ganz konkreten Ideen für die spezifischen Anwendungsbereiche der Kunden. Die Eventreihe „BI goes Big Data“ macht im August in Hamburg und Frankfurt Station. Die kostenfreie Veranstaltung findet zusammen mit Steria Mummert Consulting statt und richtet sich an Endkunden. In Hamburg am 14.8.2013 – zur AnmeldungIn Frankfurt a.M. am 20.8.2013 – zur Anmeldung

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  • Big level objects collision system for 2d game

    - by Aristarhys
    I read many variants today and get some knowledge in general, so here is a steps of mine thoughts in pictures (horrible paint.net ones). We need to develop grid system, so we check only thing near, perform simple check to cut out deep check, and at - last deep check like per-pixel collision check. Step 1 - Let p1, p2 are some sprites lets first just check with circle collision - because large distance between p1, p2 this fails and of course so we don't need test more deeply. But if we have not 2, but 20 objects, why we need to even circle test something so far outside of our view. Step 2 - Add basic column system, now we don't bother with p2 if it's in a column far from p1 column, so we even don't do circle test. But p3 is in the same col, so let do circle test, which of course will fail. Step 3 - Lets improve column system to the grid system with grid cell size just like p1, p2, p3 collision boxes, so we cut out things much top or below p1. And this is all great until comes BIG OBJs which is some kind of platforms. They are much bigger then grid cell. Circle test for will be successful, but deep check for whole big obj will fail And that the part I can't get. How do I store the grid position of big object? Like 4 grid coords for big object vertexes? And if one of them close to p1 do circle check for centre of big object then a deep one if succeed? Am I do it wrong? My possible solution:

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  • Two interesting big data sessions around Openworld

    - by Jean-Pierre Dijcks
    For those who want to talk (not listen) about big data, here are 2 very cool sessions: BOF9877 - A birds of a feather session around all things big data. It is on Monday, Oct 1, 6:15 PM - 7:00 PM - Marriott Marquis - Golden Gate. While all guests on the panel are special, we will have very special guest on the panel. He is a proud owner of a Big Data Appliance (see here). Then there is a Big Data SIG meeting (the invite from Gwen): I'd like to invite everyone to our OOW12 meet up. We'll meet on Tuesday, October 2nd, 8:45 to 9:45 at Moscone West Level 3, Overlook 3. We will network, socialize and discuss plans for the group. Which topics interest us for webinars? Which conferences do we want to meet in? What other activities we are interested in? We can also discuss big data topics, show off our great work, and seek advice on the challenges. Other than figuring out what we are collectively interested in, the discussion will be pretty open. Here is the official invite. See you at Openworld!!

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  • Blue Screen Dilemma

    - by Joscine
    Ok, I burnt a cd and a jump drive and I want to install Ububtu on a windows xp computer. But the computer keeps showing the blue screen.... "a problem has been detected and windows has been shut down to prevent damage to your computer" Is there any way I can install Ubuntu still? Do I have to fix windows to be able to install it? And if so, does anyone know how to fix it? I don't have the windows installation pack.

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  • Here’s How to Create a Blue Screen of Death in Any Color You Want

    - by The Geek
    Everybody that’s ever used Windows has at least heard of the Blue Screen of Death, even if they have been lucky enough to never encounter one themselves. Here’s how to make a BSOD in any color you want, using a couple of clicks. Note: following the technique in this article WILL crash your PC, every single time. Without fail… it’s kinda the point, after all. Isn’t the black and green BSOD a lot more geeky? Keep reading at your own risk Latest Features How-To Geek ETC HTG Projects: How to Create Your Own Custom Papercraft Toy How to Combine Rescue Disks to Create the Ultimate Windows Repair Disk What is Camera Raw, and Why Would a Professional Prefer it to JPG? The How-To Geek Guide to Audio Editing: The Basics How To Boot 10 Different Live CDs From 1 USB Flash Drive The 20 Best How-To Geek Linux Articles of 2010 Lord of the Rings Movie Parody Double Feature [Video] Turn a Webpage into an Asteroids-Styled Shooting Game in Opera Dolphin Browser Mini Leaves Beta; Sports New GUI, Easy Bookmarking, and More Updated Google Goggles Scans Faster; Solves Sudoku Puzzles Snowy Castle Retreat in the Mountains Wallpaper Fix TV Show Sorting Issues on iOS Devices

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  • Lubuntu 12.04 on Acer laptop boots to blank blue screen

    - by WGCman
    My previous question on this was closed, but I am posting it again as the solution which my son eventually found may assist other users of the forum, or someone may be able to tweak the solution to improve the performance. Having installed Kubuntu 12.04.01 from a live USB onto my desktop, I wanted to do the same on my laptop, an Acer Aspire 1362 Laptop, which has 256MB RAM (actually 512 "on the box", but a good deal can be borrowed by the graphics!). I found Kubuntu wouldn't run on so little memory but downloaded: Lubuntu-12.04-alternate-i386.iso, which I understood was light enough to go. The laptop has one internal 40GB Toshiba hard drive divided into 3 partitions: C,19GB with Windows XP, Windows program files and some data, D, 19GB mostly data, and a small 2GB partition with some Acer software, which XP can't normally “see”. I transferred most of the contents of D to a memory stick, leaving 16GB free for Lubuntu. I did not want to dump XP yet, though it is painfully slow. I installed Lubuntu from then USB stick, accepting the default answers to most of the questions. The D: partition was further partitioned into a 500MB boot partition, 10GB for Linux, 2GB Swap and 6GB for data shareable between Linux and Windows. I had no error messages during installation, rebooted, was offered the choice of Ubuntu or XP, and selected the former. After a few minutes, I get a dark blue screen announcing Lubuntu with five dots underneath which lighten in turn. Eventually the lights stopped, and whatever I try the screen remains blank apart from “Lubuntu” I tried several solutions suggested on the forum for “identical” questions but without success.

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  • Switching to workspaces view shows buggy blue background

    - by G1i1ch
    When switching to workspaces view everything the background turns blue. Same happens when I switch between multiple windows of the same app too. Happening after having a try with gnome shell out of curiosity. Installed through official repos like normal. Tried it out but switched back, anyone have an idea of why this is happening? Got an Intel GPU and Unity 3d. If anyone can give me some direction, thanks a lot. Update: Looks like during the switch somehow opengl was disabled. glxinfo returns: name of display: :0 Xlib: extension "GLX" missing on display ":0". Xlib: extension "GLX" missing on display ":0". Xlib: extension "GLX" missing on display ":0". Xlib: extension "GLX" missing on display ":0". Xlib: extension "GLX" missing on display ":0". Error: couldn't find RGB GLX visual or fbconfig Xlib: extension "GLX" missing on display ":0". Xlib: extension "GLX" missing on display ":0". Xlib: extension "GLX" missing on display ":0". Xlib: extension "GLX" missing on display ":0". Xlib: extension "GLX" missing on display ":0". Xlib: extension "GLX" missing on display ":0". Xlib: extension "GLX" missing on display ":0". This is very distressing, all I wanted to do was try out gnome3. Does anyone have an idea on how I can get opengl back? [update] Ok I found out what happened. Apparently it's not that hard to accidentally install an nvidia driver. All I had to do was remove all the stuff that had nvidia in it and I got 3d back! For anyone else, this is how I found out: check out Xorg.0.log `$ cat / var/log/Xorg.0.log | more` if you see a line like this somewhere `(EE) Failed to initialize GLX extension (Compatible NVIDIA X driver not found)` you got an nvidia problem Thanks everyone for trying to help :D

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  • “Big Data” Is A Small Concept Unless You Can Apply It To The Customer Experience

    - by Michael Hylton
    There’s been a lot of recent talk in the industry about “big data”.  Much can be said about the importance of big data and the results from it, but you need to always consider the customer experience when analyzing and applying customer data. Personalization and merchandising drive the user experience.  Big data should enable you to gain valuable insight into each of your customers and apply that insight at the moment they are on your Web site, talking to one of your call center agents, or any other touchpoint.  While past customer experience is important, you need to combine that with what your customer is doing on your Web site now as well what they are doing and saying on social networking sites.  It’s key to have a 360 degree view of your customer across all of your touchpoints in order to provide that relevant and consistent experience that they come to expect when interacting with your brand. Big data can enable you to effectively market, merchandize, and recommend the right products to the right customers and the right time.  By taking customer data and applying it to product recommendations, you have an opportunity to gain a greater share of wallet through the cross-selling and up-selling of additional products and services.  You can also build sustaining loyalty programs to continue to engage with your customers throughout their long-term relationship with your brand.

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  • “Big Data” Is A Small Concept Unless You Can Apply It To The Customer Experience

    - by Michael Hylton
    There’s been a lot of recent talk in the industry about “big data”.  Much can be said about the importance of big data and the results from it, but you need to always consider the customer experience when analyzing and applying customer data. Personalization and merchandising drive the user experience.  Big data should enable you to gain valuable insight into each of your customers and apply that insight at the moment they are on your Web site, talking to one of your call center agents, or any other touchpoint.  While past customer experience is important, you need to combine that with what your customer is doing on your Web site now as well what they are doing and saying on social networking sites.  It’s key to have a 360 degree view of your customer across all of your touchpoints in order to provide that relevant and consistent experience that they come to expect when interacting with your brand. Big data can enable you to effectively market, merchandize, and recommend the right products to the right customers and the right time.  By taking customer data and applying it to product recommendations, you have an opportunity to gain a greater share of wallet through the cross-selling and up-selling of additional products and services.  You can also build sustaining loyalty programs to continue to engage with your customers throughout their long-term relationship with your brand.

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  • Big Data Appliance

    - by David Dorf
    Today Oracle announced the next release of it's Big Data Appliance, an engineered system composed of hardware and software targeting the efficient processing of big data.  The solution leverages 288 Intel cores running Cloudera's distribution of Apache Hadoop in 1.1 TB of main memory.  This monster helps companies acquire, organize, and analyze large volumes of structured and un-structured data. Additionally a new versions of the Oracle Big Data Connectors and Oracle NoSQL Database were released. Why is this important to retailers?  As the infographic below conveys, mobile and social have added even more data to the already huge collections of POS transactions and e-commerce weblogs.  Retailers know that mining that data will help them make better decisions that lead to increased sales, better customer service, and ultimately a successful retail business. Monetate

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  • "Adoption des Big Data : ce n'est que le commencement", selon Talend, qui analyse cette nouvelle tendance

    « Adoption des Big Data : ce n'est que le commencement », selon Talend qui affirme que les entreprises mettent en place des stratégies de Big Data Les volumes de données augmentent à un rythme croissant. De plus en plus, les entreprises explorent leurs usages et trouvent des moyens pour traiter, exploiter, analyser et fouiller les données qu'elles collectent, afin d'en tirer les connaissances qui serviront de base à leurs décisions futures. Yves de Montcheuil, VP Marketing, Talend, livre son analyse suite à une nouvelle enquête sur l'adoption des Big Data réalisée par l'éditeur auprès de professionnels impliqués dans la délivrance de solutions de données, qui confirme cette mat...

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  • R Statistical Analytics with Faster Performance for Enterprise Database Access and Big Data

    - by Mike.Hallett(at)Oracle-BI&EPM
    Further demonstrating commitment to the open source community, Oracle has just released enhanced support of the R statistical programming language for Oracle Solaris and AIX in addition to Linux and Windows, connectivity to Oracle TimesTen In-Memory Database in addition to Oracle Database, and integration of hardware-specific Math libraries for faster performance.  Oracle’s Open Source distribution of R is available with the Oracle Big Data Appliance and available for download now. Oracle also offers Oracle R Enterprise, a component of Oracle Advanced Analytics that enables R processing on Oracle Database servers.   This all goes to make big data analytics more accessible in the enterprise and improving data scientist productivity with faster performance Since its introduction in 1995, R has attracted more than two million users and is widely used today for developing statistical applications that analyze big data. Analyst Report: Oracle Advances its Advanced Analytics Strategy  

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