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The Background to DataOps

Before getting started with Data Operations, or short DataOps, it is strongly recommended that all users review the following content about the origins of DataOps, philosophies, and webinar recordings, and ensure familiarity with some of the underpinning technologies.

Background Reading

Principles of DataOps

To read about DataOps principles and philosophies in general and not look at any specific technologies or implementation, please review:

DataOps.live

To find out more about DataOps.live as a solution, you can start with

Videos

Several videos on YouTube covering DataOps background information are available as well:

DataOps Philosophy Video Series

  1. DevOps on one slide
  2. Background on DataOps
  3. Seven Pillars of TrueDataOps
  4. Three Different Types of Pipelines
  5. Federated Orchestration
  6. Best Practices and Design

DataOps Platform Series

Please see this playlist on YouTube for the full DataOps Platform video series.

DataOps Webinars

The following webinar recordings have been made available, covering interesting and relevant use cases:

Snowflake Technical Webinars

  1. Technical Masterclass on CI/CD and DataOps for Snowflake
  2. How OneWeb has Gone Stellar with Snowflake and DataOps.live
  3. Master Class: Using DataOps as a Declarative Engine for Snowflake

Required Technologies

In order to use the DataOps platform, some level of familiarity of the following technologies is strongly recommended (required for developers):