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Data is getting bigger and more complex by the day, and so are your
choices in handling it. Explore some of the most cutting-edge
databases available - from traditional relational databases to
newer NoSQL approaches - and make informed decisions about
challenging data storage problems. This is the only comprehensive
guide to the world of NoSQL databases, with in-depth practical and
conceptual introductions to seven different technologies: Redis,
Neo4J, CouchDB, MongoDB, HBase, Postgres, and DynamoDB. This second
edition includes a new chapter on DynamoDB and updated content for
each chapter. While relational databases such as MySQL remain as
relevant as ever, the alternative, NoSQL paradigm has opened up new
horizons in performance and scalability and changed the way we
approach data-centric problems. This book presents the essential
concepts behind each database alongside hands-on examples that make
each technology come alive. With each database, tackle a real-world
problem that highlights the concepts and features that make it
shine. Along the way, explore five database models - relational,
key/value, columnar, document, and graph - from the perspective of
challenges faced by real applications. Learn how MongoDB and
CouchDB are strikingly different, make your applications faster
with Redis and more connected with Neo4J, build a cluster of HBase
servers using cloud services such as Amazon's Elastic MapReduce,
and more. This new edition brings a brand new chapter on DynamoDB,
updated code samples and exercises, and a more up-to-date account
of each database's feature set. Whether you're a programmer
building the next big thing, a data scientist seeking solutions to
thorny problems, or a technology enthusiast venturing into new
territory, you will find something to inspire you in this book.
What You Need: You'll need a *nix shell (Mac OS or Linux preferred,
Windows users will need Cygwin), Java 6 (or greater), and Ruby
1.8.7 (or greater). Each chapter will list the downloads required
for that database.
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