by Dr. Arvind Sathi
About the Book:
Big Data Analytics is a popular topic. While everyone has heard stories of new Silicon Valley valuation bubbles and critical shortage of data scientists, there are equal number of concerns – Will it take away my current organization or investment? How do I integrate my Data Warehouse and Business Intelligence with Big Data? How do I get started, so I can show some results? What are the skills required? What happens to data governance? Unlike many other Big Data Analytics blogs and books, this book presents a practitioner’s viewpoint. It identifies the demand for Big Data Analytics, its engineering components and what happens on the production floor. In doing so, it respects the large investments in Data Warehouse and Business Intelligence and shows both evolutionary and revolutionary ways of moving forward to the new brave world of Big Data.
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. It presents major trends behind the rise of Big Data and shows typical use cases tackled by Big Data Analytics – where leading organizations are already seeing major benefits in using Big Data Analytics. 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. It shows how these components work together to provide an integrated engine that can combine Big Data with traditional Data Warehouse and Business Intelligence to provide an overall solution. Third, it provides a glimpse at implementation concerns and how they must be tackled. How do we combine various components, which are running at different velocities and volumes? How do we get structured information out of unstructured data and combine with other structured data? How do we provide governance across this data, when the originating data may have varying quality or privacy constraints? How do we embark on an implementation road map in a systematic way to show results as we go and build skill level and momentum for Big Data Analytics in our organization?
For the electronic version of this book: download PDF.
- Monday October 22, 4:00 p.m.–5:00 p.m. IOD Bookstore, Bayside Foyer; Session # 4243A in Smart Site.
After the conference is over, a free e-version of the book will be available for you to download. Follow my blog to ensure that you are one of the first to know where you can download the book.
Also attend this session by the author of this book:
Session # 3645A - Smarter Operations at Verizon - A Case Study - Tue, Oct 23, 2012; 3:00 PM - 4:00 PM - South Seas J
Session # 1813A - Extreme Targeted Marketing: Micro Segmentation for Utilities and Cross-Industry Applications; Tue, Oct 23, 2012; 4:30 PM - 5:45 PM - South Pacific A
- Free printed IBM Redbooks at IOD
- Look at all these great FLASHBOOKS that will be at IOD this year!
- Look at all these great books that will be at IOD this year!
- Get Certified at the IBM Information on Demand Conference