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Big Data Appliances for In-Memory Computing
- A Real-World Research Guide for Corporations to Tame and Wrangle Their Data
- De: Dr. Ganapathi Pulipaka
- Narrado por: Jodie Bentley
- Duración: 5 h y 56 m
- Versión completa
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General4 out of 5 stars 23
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Narración:4 out of 5 stars 22
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Historia4 out of 5 stars 22
This book is a scientific expedition to research and explore the enterprise-grade big data appliances with blended OLTP and OLAP capabilities. Enterprise database systems with the aid of big data analytics create an intelligent ecosystem by taming and wrangling the data coming from extreme-disparate sources of structured and unstructured channels with massive parallelization techniques to discover, visualize, predict, and action the patterns and trends of mashups of big data.
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2 out of 5 stars
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Book should be titled "buy sap Hana"
- De Maggee en 05-28-16
- Big Data Appliances for In-Memory Computing
- A Real-World Research Guide for Corporations to Tame and Wrangle Their Data
- De: Dr. Ganapathi Pulipaka
- Narrado por: Jodie Bentley
Best audio book! Two thumbs up!
Revisado: 03-16-16
Would you listen to Big Data Appliances for In-Memory Computing again? Why?
Yes. This book is largely interesting with heavy substance of big data, SAP HANA, IBM DB2 and Oracle. Exadata and more than dime a dozen big data tools, data visualization tools, business analytics, in -memory computing architecture and how the strategy of setting up data analytics center of excellence provide big value to the organizations.
What other book might you compare Big Data Appliances for In-Memory Computing to and why?
This is the first book I am encountering and hence would not be able to compare with anything.
What about Jodie Bentley’s performance did you like?
Deliverance to put it short.
Did you have an extreme reaction to this book? Did it make you laugh or cry?
Highly structured book written in APA 6th edition format that works as a dissertation and serves the corporations commercially to build their data analytics centers of excellence.
Any additional comments?
The book provides the past, present and the future of bigdata and in-memory computing with the aid of ground-breaking technology of DRAM memory and how the in-memory computing works with Apache Hadoop and R to process gargantuan volumes of big data.
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