Day of Datomic

In this first video Stu Halloway introduces Datomic and provides an overview of Datomic's architecture.

In the second video of the series Stu discusses the Datomic information model. Stu covers Datomic's preferred data notation, EDN, and the fundamental unit of data in Datomic, the datom. Stu also covers the topics of Datomic databases, entities, and schema.

In the third video of the series, Stu covers the Datomic transaction model. This session covers Datomic's ACID transactions and how Datomic allows you to group datoms together into entities. Stu also discusses how Datomic handles identity and the related question of uniqueness. This session ends with a discussion of database functions and reified transactions

The fourth video in the Day of Datomic series discusses the two primary ways to access data in Datomic: querying with Datalog and via the Pull API. In this session, Stu also covers raw index access and database filters.

The final video in the Day of Datomic series covers the operational characteristics of Datomic and the issues you should be aware of when planning your Datomic system. Stu also covers caching in Datomic, indexes and the indexing process, choosing a storage service, and monitoring your Datomic system. This session completes with a discussion of Datomic capacity planning.

In Part I, Stu Halloway introduces Datomic. Stu will outline what Datomic is as well as the design philosophy and architectural principles behind it. Stu will also demonstrate getting Datomic installed and running and how you can interact with it via the Datomic console as well as the REST API.

In Part II, Stu turns to the Datomic information model. Stu covers Datomic's preferred data notation, EDN, along with the fundamental unit of data in Datomic, the datom. Stu will also talk about the Datomic ideas of databases, entities and schemas.

With the basics out of the way, Stu now moves on to the Datomic transaction model. In this video we will see how Datomic is a an old-school ACID database, how Datomic allows you to group datoms together into entities. Stu will also discuss how Datomic handles identity and the related question of uniqueness. Finally, Stu will cover database functions, functions which run inside of a transaction.

In this video Stu talks about how to get data out of Datomic. Stu starts with the two main ways to query Datomic: querying with Datalog and via the pull API. Stu also covers the raw indexes that underlay Datomic.

Moving on from query, Stu now turns towards the Datomic view of time, which brings us back to transactions and how to use the Datomic log API and filters to navigate through your data. Stu also talks about how to use `sync` to correlate activity across multiple peers. Finally Stu talks about permanently removing data from Datomic using excision.

In this final video, Stu covers the operational characteristics of Datomic along with the issues that you need to be aware of when planning your system. Stu also covers caching in Datomic, as well as indexes and the indexing process, choosing a storage service, and monitoring your Datomic system. Finally Stu finishes out with a discussion of Datomic capacity planning.