Book Image

Seven NoSQL Databases in a Week

By : Sudarshan Kadambi, Xun (Brian) Wu
Book Image

Seven NoSQL Databases in a Week

By: Sudarshan Kadambi, Xun (Brian) Wu

Overview of this book

This is the golden age of open source NoSQL databases. With enterprises having to work with large amounts of unstructured data and moving away from expensive monolithic architecture, the adoption of NoSQL databases is rapidly increasing. Being familiar with the popular NoSQL databases and knowing how to use them is a must for budding DBAs and developers. This book introduces you to the different types of NoSQL databases and gets you started with seven of the most popular NoSQL databases used by enterprises today. We start off with a brief overview of what NoSQL databases are, followed by an explanation of why and when to use them. The book then covers the seven most popular databases in each of these categories: MongoDB, Amazon DynamoDB, Redis, HBase, Cassandra, In?uxDB, and Neo4j. The book doesn't go into too much detail about each database but teaches you enough to get started with them. By the end of this book, you will have a thorough understanding of the different NoSQL databases and their functionalities, empowering you to select and use the right database according to your needs.
Table of Contents (16 chapters)
Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
Index

Best practices


To work with DynamoDB more efficiently, we should follow some best practices while designing tables and items:

  • Table best practices: DynamoDB tables are distributed across multiple partitions. For the best results, design your tables and applications so that read and write activities are spread evenly across all the items on your table, and avoid I/O hotspots that can degrade the performance of your application:
    • Design for uniform data access across items in your table
    • Distribute the write activity during data upload operations
    • Understand the access platform for the time series data
  • Item best practices: DynamoDB items are limited in size. However, there is no limit to the number of items in the table. Instead of storing large attribute data values in an item, consider the following alternative for your design:
    • Use one-to-many tables instead of a large set of attributes
    • Use multiple tables to support a varied access pattern
    • Compress large attribute values
    • Store large attribute values...