Big Data & The Big Players

Is it David & Goliath or Goliath and David?

Big data has been gaining more popularity in the TAG world and in the world of synonyms for some time now. More innovation has always been seen within small organizations. With Hadoop being accepted among the developer community, with a considerable amount of learning curve,  it is important that all involved in “drilling” down on any kind of voluminous data, give importance to “Hadoop”. Now, Sqoop’s entry has helped enterprises in thinking more about their disparate databases. In database where one field embeds many other information such as “outcome” information of any actions, retrieving those information, sunk down the deep caves of enterprises  repositories is becoming less and less of an issue. More thoughts and joint thinking has to be inputted with the realms of what to do with the data or simply , one has to starting thinking of “How to make sense of this data”.

Large corporations such as Oracle ,Google,  IBM and other companies have begun brining out tools for the “living dead”-the Big data.

Googles  “Big Query” seems to be interesting.  Availability of this to the public is even more interesting.

Amazon elastic MapReduce is another effective way to extract information from massive volumes of data. How much this can scale is yet to be seen.

Similarly , IBM’s big data appliance is provided to retailers with Netezza; which is the IBM Netezza Customer Intelligence Appliance. The new Netezza appliance also seem to incorporate business-intelligence software. This could be a novel thinking. Retrieving and making sense of it.

Within all these , Oracle has brought a set of services which looks like the usual standardized Oralces way of rolling out things. Out Of The Box solution. A set of tools and services has been rolled out. How far this can be taken to the field depends mainly on the people who are involved.  But here is a look at all their tools and services and a brief introduction; all in one page.

Oralce looks at Big Data problem in three main areas, as it should be.  Within Big data problem, you inspect and retrieve, analyze and then present. So does Oracle;

Oralce Acquire Big data says, will acquire from Oracle NoSQL database and Oracle Database 11g.

The Organizing part of it consists of, Oracle Big Data appliance, Connectors and the oracle data integrator

The Analyze components include, Oracle advanced analytics, Oracle data warehousing, Exadata and Exalytics In-Memory Machine ? I mean “Machine” J interesting anyways.

The Appliance: seems to be integrated with cloudera, Hadoop and JVM in a linux composite.

The Data Integrator: SOA modules and ETL

The Connectors: Include the HDFS connectors and Hadoop loaders including something for data integrator application adapter for Hadoop. (Says it reduces MapReduce development efforts.) and OLTP.

Below are other common Oracle components that now is extended for Big Data

To think independently, it is not about drilling down some data and replicating the data mining done ages ago. This is drilling alright, but drilling for the future.

Do you want to be chat with me and become a mad thinker? Talk to me @ enterprise.architects AT I am online , yup.

About Sunny Menon

Sunny Menon is a software engineer with over 18 years of experience in the design, architecture, development of high volume enterprise applications. He has experience enabling cloud environment for enterprise applications. Designed and developed a bigdata product which is currently in stealth mode. He has helped #startups evolve from conceptual stages through definition of the actual product by aligning them with industry requirements, developing proof-of-concept and demonstrating the product thereby, helping in seeking funding from financiers. He has extensive experience in the integration of large enterprise applications, middle-ware and modernization of enterprise applications centered around SOA/SaaS/PaaS/Cloud environments. He has an Android app available in the Android market place /Google Play called EasyImageSender, and an iOS app. He has also developed android/iOs apps for payment, medical and insurance industries. They can be searched with the key term "EasyImageSender" At night, he enjoys 'staring' at the night skies and sings, twinkle twinkle little star, how I STILL WONDER what you are.... He is a cruel poet who walks bare foot at times, to feel the beauty of the earth, he sometimes set foot on. Technical advisory to
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