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Next Generation Databases: NoSQLand Big Data, by Guy Harrison
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"It’s not easy to find such a generous book on big data and databases. Fortunately, this book is the one." Feng Yu. Computing Reviews. June 28, 2016.
This is a book for enterprise architects, database administrators, and developers who need to understand the latest developments in database technologies. It is the book to help you choose the correct database technology at a time when concepts such as Big Data, NoSQL and NewSQL are making what used to be an easy choice into a complex decision with significant implications.
The relational database (RDBMS) model completely dominated database technology for over 20 years. Today this "one size fits all" stability has been disrupted by a relatively recent explosion of new database technologies. These paradigm-busting technologies are powering the "Big Data" and "NoSQL" revolutions, as well as forcing fundamental changes in databases across the board.
Deciding to use a relational database was once truly a no-brainer, and the various commercial relational databases competed on price, performance, reliability, and ease of use rather than on fundamental architectures. Today we are faced with choices between radically different database technologies. Choosing the right database today is a complex undertaking, with serious economic and technological consequences.
Next Generation Databases demystifies today’s new database technologies. The book describes what each technology was designed to solve. It shows how each technology can be used to solve real word application and business problems. Most importantly, this book highlights the architectural differences between technologies that are the critical factors to consider when choosing a database platform for new and upcoming projects.
- Introduces the new technologies that have revolutionized the database landscape
- Describes how each technology can be used to solve specific application or business challenges
- Reviews the most popular new wave databases and how they use these new database technologies
- Sales Rank: #244562 in Books
- Published on: 2015-12-14
- Released on: 2015-12-26
- Original language: English
- Number of items: 1
- Dimensions: 10.00" h x .59" w x 7.00" l, .0 pounds
- Binding: Paperback
- 235 pages
About the Author
Guy Harrison has worked with database technologies for more than 30 years. He is the Executive Director of Database tools R&D for the Dell Software Group and has is the author of five books on database development and optimization. He has written a monthly column for Database Trends and Applications for more than 10 years on Big Data, NoSQL, and Application development. Guy lives in Melbourne, Australia and has no leisure skills.
Most helpful customer reviews
9 of 9 people found the following review helpful.
A pleasure to read!
By Benjamin Krug
This book is a pleasure to read. It delivers on the promises in the description. It's a very informative overview for an old-schooler who wants to delve into the "next generation" database systems. It's very well-written, so it's not overwhelming. It doesn't talk down to you, but is not annoyingly informal or patronizing. Best of all, it gives a lot of detail, and gets it all right! Until I read this book, most books I found were either focused on one topic, or got a lot of things wrong. Guy does not bash, oversell, or make inaccurate statements. And, he makes it eminently readable. It's a pleasure to find a book with the breadth, depth, accuracy, and readability of this one! Cheers to the author for sharing his findings with us!
1 of 1 people found the following review helpful.
This book will prove useful to anyone who wants to know how to choose an appropriate database solution in these changing times
By Ian Stirk
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 Databases
Chapter 1 Three Database Revolutions
The 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.
The chapter next looks at the third database revolution, initiated by massive internet growth which created pressure on RDBMS scalability. Realising this, Google, the largest website, looked at how the growing amounts of data could be processed in a timely manner. Google published 3 influential papers, one about a distributed file system, the second about distributing processing (MapReduce), and the third about a distributed database (BigTable). These ideas later formed the basis of Hadoop.
Other related concurrent changes occurred in technology, including the growth of cloud computing, providing elastic resource usage and cost. Also, the use of JavaScript Object Notation (JSON) enabled easier storing/serialization of objects to disk, helping overcome the object/relational impedance mismatch, eventually leading to data being stored in document databases (e.g. MongoDB).
The old relational architecture was re-examined by Stonebraker in 2007, who suggesting making changes relating to in-memory and columnar databases, this became NewSQL. There is a brief overview of the non-relational database explosion. The author acknowledges NoSQL is an unfortunate term, since it defines what the database isn’t rather than what it is.
The chapter ends with the conclusion that there is no longer a one-size-fits-all database solution. Unlike the relational model, the NoSQL databases do not have a common architectural pattern. The growth of the Internet of Things (IoT), social media, and ever increasing amounts of (often unstructured) data, all indicate the growing need for scalable Next Generation databases.
This chapter provides a great overview of each database revolution, in the context of broader technology changes. It is the best overall explanation of what happened in database world, together with its underlying reasons, I’ve read.
There are a few small errors e.g. “... a huge number of relational database systems emerged in the first half of the 2000s”, this should read ‘Next Generation’ instead of ‘relational’.
The chapter is easy to read, with useful explanations, considered discussions, helpful diagrams, inter-chapter references, and website links. These traits apply to the whole of the book.
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Conclusion
This book aims to help you choose the correct database technology, in the era of Big Data, NoSQL, and NewSQL, and succeeds. The book is generally easy to read, with useful explanations, considered discussions, helpful diagrams, inter-chapter references, and website links.
The main types of NoSQL database (key-value, graph, document, columnar) are described, as are the newer relational database features (NewSQL). It certainly helps explain the recent database changes in the context of web innovation.
It might have been useful to have a matrix containing details of what type of database to choose for specific scenarios. The book has useful (but unannotated) links for further information at the end of each chapter, these would be better annotated, and placed on the page they are referenced. The book has no introduction (except the back cover), and although the book is split into 2 sections, they are not discussed – a roadmap would be useful.
This book will prove useful to anyone who wants to know how to choose an appropriate database solution in these changing times, and how we arrived at the current mixture of disparate databases. Highly recommended.
1 of 1 people found the following review helpful.
Excellent book provides very clear presentation !
By Amazon Customer
Excellent book. A must read for any serious big data professional.....
- VM
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