Oracle Scene (the publication of United Kingdom Oracle Users Group) has published my article "Hadoop for Oracle Professionals", where I have attempted, like many others, to demystify the terms such as Hadoop, Map/Reduce and Flume. If you were interested in Big Data and what all comes with understanding it, you might find it useful.
A PDF version of the article can be downloaded here http://www.proligence.com/art/oracle_scene_summ14_hadoop.pdf
Confessions of an Oracle Database Junkie - Arup Nanda The opinions expressed here are mine and mine alone. They may not necessarily reflect that of my employers and customers - both past or present. The comments left by the reviewers are theirs alone and may not reflect my opinion whether implied or not. None of the advice is warranted to be free of errors and ommision. Please use at your own risk and after thorough testing in your environment.
Showing posts with label Hadoop. Show all posts
Showing posts with label Hadoop. Show all posts
Wednesday, June 11, 2014
Tuesday, September 10, 2013
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 download links.
Yet another Oracle version is out and so are about 1500 new features in a variety of areas. Some are well marketed (e.g. pluggable database or the multitenant option) and some shine by their sheer usefulness. And there are some that do not get a whole lot of coverage but are are hidden gems. In this session you learned 12 broad areas of Oracle Database 12c I feel are worth learning about to make your job as a DBA or developer better, easier, smoother and, in some cases, even make it possible what was hitherto impossible or impractical.
Download slides here and scripts here.
Have you ever considered the impact of Big Data on your career as database professionals? Or do you feel frustrated by the lack of a coherent set of explanations of various concepts like Hadoop, Hive, HDFS and Pig Latin - the essential vocabulary of Big Data? If you did, then session was for you. In this, I explained the various concepts of Big Data - Hadoop, Hive, HDFS, etc. and explained how they relate to and contrast with modern relational database concepts.
Download the slides here.
Please see the details of the sessions below along with the download links.
Keynote: Oracle 12c Gee Whiz Features
Yet another Oracle version is out and so are about 1500 new features in a variety of areas. Some are well marketed (e.g. pluggable database or the multitenant option) and some shine by their sheer usefulness. And there are some that do not get a whole lot of coverage but are are hidden gems. In this session you learned 12 broad areas of Oracle Database 12c I feel are worth learning about to make your job as a DBA or developer better, easier, smoother and, in some cases, even make it possible what was hitherto impossible or impractical.
Download slides here and scripts here.
Big Data for Oracle DBAs
Have you ever considered the impact of Big Data on your career as database professionals? Or do you feel frustrated by the lack of a coherent set of explanations of various concepts like Hadoop, Hive, HDFS and Pig Latin - the essential vocabulary of Big Data? If you did, then session was for you. In this, I explained the various concepts of Big Data - Hadoop, Hive, HDFS, etc. and explained how they relate to and contrast with modern relational database concepts.
Download the slides here.
Friday, June 07, 2013
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 of a traditional database practitioner but getting
wet on the Big Data issues by being thrown in the water. I was
inspired to write this from the recent incident involving NSA
scooping up Verizon call data invading privacy of the citizens.
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