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Understanding Big Data Scalability: Big Data Scalability Series, Part I by Cory Isaacson

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1. Introduction

Big Data Scalability is a comprehensive 4-part volume containing information on many facets of database performance and scalability. I have found through years of experience that in order to master any aspect of software, databases or computer science, that the most important thing is a solid foundation and understanding of the fundamental concepts. Once you have this knowledge, you can apply it to solve real-world problems with your own database tier.

This series if primarily focused on how to apply Big Data scalability to common application problems with the wide selection of DBMS engines available today. As such, it is less focused on pure analytics Big Data problems with engines like Apache Hadoop (there are many other books ...

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