What does a Database Expert need to know about Big Data?
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A database expert is in a critical position to become a hero in this big data era. Why? Because you know data.. you know your database. Now you need to know how to expand your knowledge to find the secrets lying dormant in your awesome data.
To help you, I'm posting this podcast which is a conversation between database expert & IBM champion Jean-Marc Blaise and Big Data expert Leon Katsnelson. Perhaps you have the same question? Listen & find out!
Beyond this podcast, we have many other resources available to help you with your learning curve.
First I’ll start with some excellent books.
I thought the book was very well written and covered the history of data, the advent of big data, and what we need to do differently to profit in this new era.
Yes, things will be different. As the author hinted and IBM CEO Ginny stated, big data is like oil was in the industrial age. Lots of things changed then to cope with the precious resource and it is no different now.
The stories about current big data successes are inspirational and the authors make it clear that the untapped potential of data is massive. Don't let this potential slip out of your hands. Learn what you can now to see what you can harness from this incredible asset you have in your hands.
I highly recommend the book. It is a quick read. If you only have time for 1 chapter, read chapter 10. It does a nice job of summarizing all the concepts and issues introduced in the book.
by Paul Zikopoulos, David Corrigan, Tom Deutsch, Krishnan Parasuraman, James Giles, Dirk Deroos
Provides an overview of the IBM Information Management Big Data platform. It’s intended for a broad audience, ranging from those who are brand new to Big Data, to those on the business and management side, to architects, and to developers who want a glimpse into the technical details that underpin this platform.
by Dr. Arvind Sathi
This book discusses three perspectives on Big Data Analytics. First, why is Big Data Analytics becoming so important and what can we do with it. Second, it lists major components of Big Data Analytics - Unstructured Data Analytics, Massively Parallel Processing, Adaptive Real-time and Predictive Modeling, Data Privacy Management, Data Visualization, and Ontologies. Third, it provides a glimpse at implementation concerns and how they must be tackled.
I’ve written a few blog entries in the past few weeks that summarizes blog entries and articles that come recommended in your journey to learn about Big Data:
Likely the best place for you to keep up to date with all the great things that are happening from a Big Data perspective is the Big Data Hub. The breadth of content that you’ll find here will keep you busy for some time. Let me tell you, you’ll be an expert in Big Data very quickly!
Upcoming events to mark on your calendar:
Before March 25 - Tell us your most important big data issues in a fun with with IBM’s Smart Sixteen - Big Data Style! See Big Data Bracketology for a description of the “Smart Sixteen” teams in the big data dance by the four regions.
March 27 at 12:00 noon ET - Join us for our next tweetchat which takes place on Wednesday, March 27 at 12:00 noon ET. Topic is "In-Memory for Big Data Management" with panelists: James Kobielus, analysts from Wikibon and SiliconANGLE, and IBM Champions Alex Philp, Cristian Molaro, Craig Mullins, Cuneyt Goksu and others.
April 30 - Big Data at the Speed of Business - Find out more about managing big data, join IBM for a free event.