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Next Generation Databases: NoSQLand Big Data
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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.
Product details
Paperback: 260 pages
Publisher: Apress; 1st ed. edition (December 26, 2015)
Language: English
ISBN-10: 1484213300
ISBN-13: 978-1484213308
Product Dimensions:
7 x 0.6 x 10 inches
Shipping Weight: 5 ounces (View shipping rates and policies)
Average Customer Review:
4.8 out of 5 stars
18 customer reviews
Amazon Best Sellers Rank:
#782,550 in Books (See Top 100 in Books)
Since it had been about 4 years since I read a database survey book entitled "Seven Databases in Seven Weeks: A Guide to Modern Databases and the NoSQL Movement" (2012), checking out this text seemed compelling as I watched db-engines.com database product rankings change over time as I moved from project to project, and I looked to determine appropriate uses of nonrelational database products, even as use of SQL has returned to find a place due to its many advantages. A relatively more recent database survey book entitled "In Search of Database Nirvana: The Challenges of Delivering Hybrid Transaction/Analytical Processing" (2016) that I read focused on HTAP (as the title suggests).But chapter 12 of "Next Generation Databases" provides a brief look into what this later book covers in depth, so if you are interested in further exploration of the challenges for a query engine to support workloads spanning the spectrum that consists of OLTP on one end, to analytics on the other end, with operational and BI (business intelligence) workloads in the middle, or understanding how to assess a database engine, or combination of query and storage engines, geared toward meeting one's workload requirements, I suggest a follow-up reading of "In Search of Database Nirvana". If on the other hand you are looking to get some hands-on experience with a few of the covered databases, however, I suggest going straight to "Seven Databases in Seven Weeks", despite the fact that it is a few years old.As a testament to the covered databases across "Seven Databases in Seven Weeks" and "Next Generation Databases", it is interesting that the database products covered in the earlier book (Redis, Neo4j, CouchDB, MongoDB, HBase, PostgreSQL, and Riak) highly overlap with those covered in "Next Generation Databases". While the appendix of "Next Generation Databases" lists 16 database products as being covered in the book, most of the content covers the same database products of the earlier book with the exception of PostgreSQL, which is replaced by Oracle RDBMS, and the addition of DynamoDB. Another important note to make on the subject of database product coverage is the fact that this book provides these products as examples of how different products are implemented and used, rather than attempts at thorough coverage.After discussing the three database revolutions (pre-relational, relational, and next generation), the concepts behind Hadoop and DynamoDB are then discussed, followed by chapters on document, graph, columnar, and in-memory databases in the first half of the book, followed by what the author refers to as "the gory details" in the latter half of the book, which cover distributed database patterns, consistency models, data models and storage, languages and programming interfaces, and databases of the future. And this latter half repeatedly references MongoDB, HBase, and Cassandra to cover implementation details, although chapter 11 covers some additional products in light detail, and chapter 12 walks through some of the ways that Oracle RDBMS is evolving to be a convergent database that makes use of both relational and nonrelational models.
Like (I assume) a lot of seasoned database professionals, I have been making money in the Relational DB world for many years, with only a vague notion of what else has been going on in databases. Well, it looks like the time has come for me to get out of my comfort zone and to start venturing into the Big Data world, and this book is just what I needed to catch me up on developments in the past decade (Hadoop, Cassandra, MongoDB, etc.). I always enjoyed Guy Harrison's earlier books in the Oracle space, so I figured he would be the right person to start me on this journey, and I was right. The books is the right blend of high-level overview (part 1) and low-level details (part 2) about consistency models, availability, scalability, etc. After reading Next Generation Databases, I have decided to learn Hive (I'm an SQL expert, so might as well start here), Spark, and Cassandra, and then I just need to convince someone to pay me to use them.
A highly recommended book that covers the concepts behind the NOSQL databases in enough details so you get a good understanding as to the motivations and the workings of NOSQL databases. I teach a Database course at Monterey Peninsula College. While my course mostly deals with traditional SQL and PHP applications using WAMP and LAMP, I include material from this book in my topic on current trends in databases. -- David Wisneski
Great concepts. Perfect for architects. My only issue is that it slants heavily in many areas to oracle RDBMS. It did mention the newer structures but missed on some Teradata similarities such as parallel processing and shared nothing architecture and many other aspects. Overall, I will enjoy referencing the book.
Excellent review of the history of database management systems and the advent of next generation databases. Good survey of the up and coming database technologies
excellent book. the way evolution of database technologies explained is remarkable.
Excellent read. Gives a nice and detailed introduction to the current state of the art in SQL and NoSQL databases.I am amazed this book was written by just one person.2 thumbs up.
This may be the best book I have ever purchase as far a s clearly explaining new technologies. Kudos to the author for a job well done.
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