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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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  • Sitting Pretty

    - by Phil Factor
    Guest Editorial for Simple-Talk IT Pro newsletter'DBAs and SysAdmins generally prefer an expression of calmness under adversity. It is a subtle trick, and requires practice in front of a mirror to get it just right. Too much adversity and they think you're not coping; too much calmness and they think you're under-employed' I dislike the term 'avatar', when used to describe a portrait photograph. An avatar, in the sense of a picture, is merely the depiction of one's role-play alter-ego, often a ridiculous bronze-age deity. However, professional image is important. The choice and creation of online photos has an effect on the way your message is received and it is important to get that right. It is fine to use that photo of you after ten lagers on holiday in an Ibiza nightclub, but what works on Facebook looks hilarious on LinkedIn. My splendid photograph that I use online was done by a professional photographer at great expense and I've never had the slightest twinge of regret when I remember how much I paid for it. It is me, but a more pensive and dignified edition, oozing trust and wisdom. One gasps at the magical skill that a professional photographer can conjure up, without digital manipulation, to make the best of a derisory noggin (ed: slang for a head). Even if he had offered to depict me as a semi-naked, muscle-bound, sword-wielding hero, I'd have demurred. No, any professional person needs a carefully cultivated image that looks right. I'd never thought of using that profile shot, though I couldn't help noticing the photographer flinch slightly when he first caught sight of my face. There is a problem with using an avatar. The use of a single image doesn't express the appropriate emotion. At the moment, it is weird to see someone with a laughing portrait writing something solemn. A neutral cast to the face, somewhat like a passport photo, is probably the best compromise. Actually, the same is true of a working life in IT. One of the first skills I learned was not to laugh at managers, but, instead, to develop a facial expression that promoted a sense of keenness, energy and respect. Every profession has its own preferred facial cast. A neighbour of mine has the natural gift of a face that displays barely repressed grief. Though he is characteristically cheerful, he earns a remarkable income as a pallbearer. DBAs and SysAdmins generally prefer an expression of calmness under adversity. It is a subtle trick, and requires practice in front of a mirror to get it just right. Too much adversity and they think you're not coping; too much calmness and they think you're under-employed. With an appropriate avatar, you could do away with a lot of the need for 'smilies' to give clues as to the meaning of what you've written on forums and blogs. If you had a set of avatars, showing the full gamut of human emotions expressible in writing: Rage, fear, reproach, joy, ebullience, apprehension, exasperation, dissembly, irony, pathos, euphoria, remorse and so on. It would be quite a drop-down list on forums, but given the vast prairies of space on the average hard drive, who cares? It would cut down on the number of spats in Forums just as long as one picks the right avatar. As an unreconstructed geek, I find it hard to admit to the value of image in the workplace, but it is true. Just as we use professionals to tidy up and order our CVs and job applications, we should employ experts to enhance our professional image. After all you don't perform surgery or dentistry on yourself do you?

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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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  • JavaScript tip a day: Pretty Print, Debugging Events and $0

    - by Sahil Malik
    SharePoint, WCF and Azure Trainings: more information Debugging is a pain. Debugging events on a web page is an especially bigger pain. This video will make that pain go away! Also check out the previous videos, performance profiling, console.info, warn, assert, error, console.group, console.count, console.table and  console.log   Read full article ....

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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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  • How do I step through and debug a Scheme program using Dr. Racket?

    - by Thomas Owens
    I'm using the Dr. Racket development environment and the language definition #lang scheme to do work for a course. However, I'm not sure how to best use this tool for debugging. I would like to be able to execute a function and step through it, observing the values of different functions at various points in execution. Is this possible? If not, what is the typical method of stepping through the execution of a Scheme program and debugging it?

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  • Does anyone know a light Vim scheme which makes coding more readable and pleasant?

    - by janoChen
    I know a lot of nice dark schemes for Vim which makes coding more readable and pleasant such as ir_black, wombat, zenburn. Its weird but I haven't seen so many popular light themes (white background). Does anyone knows a light Vim scheme which makes code more readable and pleasant to see? (that makes code less confusing to distinguish, something like Visual studio's default scheme?)

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  • Could anyone tell me something about Scheme Common-Lisp and FASL File.

    - by Joe
    Does anyone could tell something about these file? As I know: 1. Common-Lisp and Scheme are both some lisp programming langue. 2. common-Lisp source file *.lisp can be compiled into binary file *.fasl which can be load faster than the source file. Q:Can the Scheme source code *.scm be compiled into some binary file that will be load faster than the source code? Thanks in advance joe

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  • Idiomatic scheme and generic programming, why only on numbers ?

    - by Skeptic
    Hi, In Scheme, procedures like +, -, *, / works on different types of numbers, but we don't much see any other generic procedures. For example, length works only on list so that vector-length and string-length are needed. I guess it comes from the fact that the language doesn't really offer any mechanism for defining generic procedure (except cond of course) like "type classes" in Haskell or a standardized object system. Is there an idiomatic scheme way to handle generic procedures that I'm not aware of ?

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  • What are the differences between Bigloo and ECL?

    - by Pubby
    I've been looking to embed Lisp in some C++ code. Two options I'm interested in is Bigloo Scheme and ECL. Reading through the docs they seem to support a very similar feature set. Obviously Bigloo is Scheme and ECL is CLisp, but what other differences do they have? In particular I'm interested in the following criteria: Ease of embedding (for C++, not just C) Performance Style of coding Size Tail call support I'm targeting this question towards someone who has used both.

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  • Eclipse colour scheme is terrible in Ubuntu

    - by cyberjar09
    I have modified my eclipse colour theme to my liking but just cant seem to develop in peace because I keep having to squint and stare at the screen for certain elements. The colour default scheme is simply pathetic! I have no idea what these elements are called and hence instead of attempting to describe them I have attached screenshots. How can I modify these elements to make them more humanly readable?

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  • how a pure functional programming language manage without assignment statements?

    - by Gnijuohz
    When reading the famous SICP,I found the authors seem rather reluctant to introduce the assignment statement to Scheme in Chapter 3.I read the text and kind of understand why they feel so. As Scheme is the first functional programming language I ever know something about,I am kind of surprised that there are some functional programming languages(not Scheme of course) can do without assignments. Let use the example the book offers,the bank account example.If there is no assignment statement,how can this be done?How to change the balance variable?I ask so because I know there are some so-called pure functional languages out there and according to the Turing complete theory,this must can be done too. I learned C,Java,Python and use assignments a lot in every program I wrote.So it's really an eye-opening experience.I really hope someone can briefly explain how assignments are avoided in those functional programming languages and what profound impact(if any) it has on these languages. The example mentioned above is here: (define (make-withdraw balance) (lambda (amount) (if (>= balance amount) (begin (set! balance (- balance amount)) balance) "Insufficient funds"))) This changed the balance by set!.To me it looks a lot like a class method to change the class member balance. As I said,I am not familiar with functional programming languages,so if I said something wrong about them,feel free to point out.

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  • Change default application of a URI scheme in Google Chrome

    - by KiL
    I accidentally make Pidgin the default app for Yahoo Messenger URI scheme (ymsgr://) in Google Chrome. Now, whenever I click on a Yahoo Messenger URI scheme, instead of appearing a popup chat box, nothing happens. How can I change the default app to associate with this URI scheme back to Yahoo Messenger? I found a similar problem here. But I am using Windows 7, not Ubuntu, so the solution cannot be applied in my situation.

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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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