Paperback: 235 pages
Publisher: Apress; 1st ed. edition (December 14, 2015)
Product Dimensions: 7 x 0.6 x 10 inches
Shipping Weight: 12.6 ounces (View shipping rates and policies)
Average Customer Review: 4.8 out of 5 stars See all reviews (9 customer reviews)
Best Sellers Rank: #318,932 in Books (See Top 100 in Books) #11 in Books > Computers & Technology > Databases & Big Data > Relational Databases #325 in Books > Textbooks > Computer Science > Database Storage & Design #368 in Books > Textbooks > Computer Science > Software Design & Engineering
Hi,I have written a detailed chapter-by-chapter review of this book on www DOT i-programmer DOT info, the first and last parts of this review are given here. For my review of all chapters, search i-programmer DOT info for STIRK together with the book's title.This book aims to help you choose the correct database technology, in the era of Big Data, NoSQL, and NewSQL, how does it fare?This book is aimed at “enterprise architects, database administrators, and developers who need to understand the latest developments in database technologies”. Some existing knowledge of databases (relational and NoSQL) is useful in understanding the book.Below is a chapter-by-chapter exploration of the topics covered.Part I: Next Generation DatabasesChapter 1 Three Database RevolutionsThe book opens with a diagram showing the timeline of major database releases, being divided into: pre-relational (1950-1972), relational (1972-2005), and Next Generation (2005-2015). This book is concerned with the Next Generation databases, but first a bit of history and context...The chapter takes a brief look at the first database revolution, involving Database Management Systems (DBMS) such as hierarchical databases (e.g. IMS) and network databases (e.g. IDMS) , running on mainframes. These systems were relatively inflexible and difficult to maintain.Next, the second database revolution is examined, concerned with the widely used relational databases (RDBMS). These are based on relational theory, with its tuples, relations, constraints, normalization, and transactions. The widespread adoption of SQL enhanced their usage.
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