Books › Seven Databases in Seven Weeks
Seven Databases in Seven Weeks
333 pages
A fast-paced, hands-on tour through the modern data landscape that demystifies complex architectural choices.
What it feels like
Reading this book feels like taking a whirlwind, hands-on road trip through the diverse landscape of modern data storage with a knowledgeable guide. It moves at a brisk, purposeful pace, dedicating just enough time to each technology to get your hands dirty without bogging you down in exhaustive manuals. The mood is intellectually stimulating and highly focused, replacing the dread of architectural decision-making with a sense of curious empowerment. The prose is pragmatic and clear, prioritizing real-world problem-solving and executable code over dry academic theory. It is a deeply satisfying experience for software engineers and data architects who want to break out of their relational database comfort zones and build a versatile, confident mental model of the NoSQL ecosystem.
- Mood
- intellectually stimulating
- focused
- curious
- Tone
- instructive
- pragmatic
- encouraging
- technical
- hands-on
- Pace
- brisk
- Themes
- technological exploration · problem solving · architectural tradeoffs · continuous learning
- The writing
- Clear, structured, and highly practical, favoring code snippets and real-world scenarios over dry academic theory.
- The arc
- Moves from the overwhelming landscape of modern data storage to a confident, empowered understanding of architectural choices.
- Who it's for
- Software engineers, data architects, and curious developers looking to break out of the relational database default and understand the broader NoSQL ecosystem.
About the book
Redis, Neo4J, Couch, Mongo, HBase, Riak, and Postgres: with each database, you'll tackle a real-world data problem that highlights the concepts and features that make it shine. You'll explore the five data models employed by these databases: relational, key/value, columnar, document, and graph. See which kinds of problems are best suited to each, and when to use them. You'll learn how MongoDB and CouchDB -- both document oriented datastores that harness the power of JavaScript -- are strikingly different. Learn about the Dynamo heritage at the heart of Riak and Cassandra. Understand MapReduce and how to use it to solve Big Data problems. Build clusters of servers using scalable services like Amazon's Elastic Compute Cloud (EC2). Understand the tradeoffs between consistency and availability, and when you can use them to your advantage. Use multiple databases in concert to create a platform that's more than the sum of its parts, or find one that meets all your needs at once. Seven Databases in Seven Weeks will give you a broad understanding of the databases, their strengths and weaknesses, and how to choose the ones that fit your needs. You'll need a *nix shell (Mac OSX or Linux preferred, Windows users will need Cygwin), and Java 6 (or greater) and Ruby 1.8.7 (or greater). Each chapter will list the downloads required for that database. - Publisher.
Description from Open Library.
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