There is no Big Data without Fast Data

Which came first Big Data or Fast Data?  If you go from a hype perspective you'd be thinking Hadoop and Big Data are the first with in-memory and fast coming after it.  The reality though is the other way around and comes from a simple question: Where do you think all that Big Data came from? When you look around at the massive Big Data sources out there, Facebook, Twitter, sensor data,

Open Source Big Data Technologies

| Jan 29, 2014

Hi All

While doing a comparison analysis for building a reference architecture for Big Data technology stumbled on a very impressive Open source Big Data Technology mashup . Thanks to http://www.bigdata-startups.com/ . The most impressive part of this mashup is breaking the whole Big Data operational paradigm into multiple stages and giving available opensource technology.

Open Source Big Data Techonologies

Hope This Helps

Sunil S Ranka

“Superior BI is the antidote to Business Failure”


EDW in the Library with Single Canonical Form – get a clue about killing the business

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Six things to make your Big Data project succeed

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Hi All,

Last few weeks I have been engaged with a customer, helping them them with remediation of Endeca project. During remediation, faced a typical challenge, where all the graphs and EQLs were erroring out. After doing some research found out that its a known issue . I spent good amount (more...)

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In reality, most companies already (more...)

Oracle Big Data Meetup – 09-OCT-2013

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What is a Big Data mindset? (and why should you care)

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New York Oracle User Group Fall Conference Materials

Thank you all who attended my sessions at NYOUG Fall Conference this morning. I appreciate spending you most precious commodity - your time - with me. I sincerely hope you found both the presentations enlightening as well as entertaining.

Please see the details of the sessions below along with the (more...)

Oracle Business Intelligence Blog 2013-08-08 22:09:00


Using R to Unlock the Value of Big Data, by Tom Plunkett, Mark Hornick

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During the day somebody described dashboards as "Fisher Price activity centres for managers". (more...)

Oracle Corp at useR! Conference 2013 #useR2013 #rstats

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DataDirect Access your favorite SaaS app with SQL

Database driver company   are writing the next generation of data access. They are working on a platform called Datadirect which will enable you to access loads of data sources in the cloud, from the cloud, and some of them with SQL

Yes you have (more...)

Demystifying Big Data for Oracle Professionals

Ever wonder about Big Data and what exactly it means, especially if you are already an Oracle Database professional? Or, do you get lost in the jargon warfare that spews out terms like Hadoop, Map/Reduce and HDFS? In this post I will attempt to explain these terms from the perspective (more...)

Four starting questions about Information – Big Data Plan part 1

Big Data – The New Information Before asking the crystal ball what can Big Data do for you, sit back and think about these four questions: Where’s the new information? Where could it be? If it was in the right place, what could happen? (Challenges of the main industries) What are the (more...)

New Job for John

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The 3 ways Hadoop will change your Business Intelligence

“It’s the analytics stupid!” Obviously the offense is not intended at the dear reader. It’s a wake up call for all the people excited with Hadoop and lack BI vision. The BI people that lack infrastructure vision are also to blame. Blame for what? We’ll see later in this (more...)

InfoQ : Running the Largest Hadoop DFS Cluster

Since I joined a Big Data Event : Frankfurter Datenbanktage 2013 - I started to take also a look to non-relational technics too. The RDBMS is not for every asepct the correct and fitting and fulfilling answer to all data related IT challenges. 

Frequently I wondered about how facebook (more...)

What’s all the fuss about Big Data?

Uncategorized
| Mar 6, 2013

What’s all the fuss about Big Data?


Big Data is the collective term for very large and potentially complex data sets that are deemed to be so large that it’s difficult to handle the data using traditional tools and applications such as Relational Database Management Systems. Scientists in the fields of physics, genetics and meteorology were previous examples of those that encountered Big Data.

 

However,