Books like Designing Data-Intensive Applications by Martin Kleppmann

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.

A brief introduction to the class of non-relational databases known as "NoSQL." The book covers core concepts as well as implementation issues and use cases.

"Design and build scalable web applications quickly.This is an invaluable roadmap for meeting the rapid demand to deliver scalable applications in a startup environment. With a focus on core concepts and best practices rather than on individual languages, platforms, or technologies, Web Scalability for Startup Engineers describes how infrastructure and software architecture work together to support a scalable environment.You'll learn, step by step, how scalable systems work and how to solve common challenges. Helpful diagrams are included throughout, and real-world examples illustrate the concepts presented. Even if you have limited time and resources, you can successfully develop and deliver robust, scalable web applications with help from this practical guide. Learn the key principles of good software design required for scalable systems. Build the front-end layer to sustain the highest levels of concurrency and request rates. Design and develop web services, including REST-ful APIs. Enable a horizontally scalable data layer. Implement caching best practices. Leverage asynchronous processing, messaging, and event-driven architecture. Structure, index, and store data for optimized search. Explore other aspects of scalability, such as automation, project management, and agile teams"-- "This is an invaluable roadmap for meeting the rapid demand to deliver scalable applications in a startup environment. With a focus on core concepts and best practices rather than on individual languages, platforms, or technologies, Web Scalability for Startup Engineers describes how infrastructure and software architecture work together to support a scalable environment"--