CrateDB Workshop Module 4: Modeling Data in CrateDB

CrateDB Workshop is a hands-on learning experience for novel and experienced users. The workshop introduces the fundamental concepts of CrateDB, a distributed SQL database, and how it can be used to efficiently store, query, and analyze large amounts of data. In this fourth module, Karyn Azevedo, Solution Engineer at CrateDB​, will show you how to model data in CrateDB. 

00:00 - Introduction
05:31 - Choosing the right data type for your use case
18:37 - Overview of indexing in CrateDB
25:43 - Using full-text search in CrateDB
39:27 - Understanding Sharding and Partitioning
49:20 - Q&A

• Here’s the link to Data types documentation
• Here’s the link to Optimizing storage for historic time-series data with arrays article
• Here’s the link to Indexing and storage in CrateDB blog post
• Here’s the link to Built-in analyzers
• Here’s the link to Full list of analyzers
• Here’s the link to Overview on sharding and partitioning