One of a more specialized NoSQL data storage technology used in the digital library and archival fields is an open source project called Fedora Commons, a Java-based linked data platform, for storing and preserving digital objects. This platform stores the metadata describing an object as an RDF graph; however, to fully leverage the capabilities of the Fedora Commons, commonly shortened to just Fedora (although this does introduce some confusion especially between the Fedora, the digital repository, and Fedora the Linux distribution), you need an attached SPARQL triple-store with the most popular being Apache's Fuseki and Blazegraph. Most libraries and other cultural heritage institutions that use Fedora as their digital repository also use a web presentation frontend with the two most popular choices being a Drupal-based open source project called Islandora (http://islandora.ca) and a Ruby-on-Rails open source project called Hydra (http...
Overview of this book
Redis is the most popular, open-source, key value data structure server that provides a wide range of capabilities on which multiple platforms can be be built. Its fast and flexible data structures give your existing applications an edge in the development environment. This book is a practical guide which aims to help you deep dive into the world of Redis data structure to exploit its excellent features. We start our journey by understanding the need of Redis in brief, followed by an explanation of Advanced key management. Next, you will learn about design patterns, best practices for using Redis in DevOps environment and Docker containerization paradigm in detail. After this, you will understand the concept of scaling with Redis cluster and Redis Sentinel , followed by a through explanation of incorporating Redis with NoSQL technologies such as Elasticsearch and MongoDB. At the end of this section, you will be able to develop competent applications using these technologies. You will then explore the message queuing and task management features of Redis and will be able to implement them in your applications. Finally, you will learn how Redis can be used to build real-time data analytic dashboards, for different disparate data streams.
Table of Contents (18 chapters)
About the Author
About the Reviewers
Advanced Key Management and Data Structures
Managing RAM – Tips and Techniques for Redis Memory Management
Programming Redis Part One – Redis Core, Clients, and Languages
Programming Redis Part Two – Lua Scripting, Administration, and DevOps
Scaling with Redis Cluster and Sentinel
Redis and Complementary NoSQL Technologies
Docker Containers and Cloud Deployments
Task Management and Messaging Queuing
Measuring and Managing Information Streams