Why DataOps for Snowflake: Introduction to DataOps FAQs

Our DataOps, data orchestration platform, was specifically designed and built as a solution for (or to address) common data problems that prevent most organizations from deriving maximum value from their data, including the following aspects:

• low development times 
• Poor quality results  
• Backlogged or swamped data teams 
• Little to no version control. 

As the introduction to our book, DataOps for Dummies notes:   

The DataOps.live for Snowflake platform “started with a clear vision: to build data products and environments the same way the world builds software products.” 

Why DataOps or, more specifically, #TrueDataOps?   

The beginning stages of this creation process focused on developing the #TrueDataOps philosophy and its seven-pillar framework: Our answer to the gaps we discovered in most modern definitions of the term “DataOps.”  

Let’s turn again to the DataOps for Dummies book:  

DataOps, especially #TrueDataOps, was developed as an archetype (or philosophy) based on the successful DevOps philosophy and practice, with several data-specific additions, facilitating the ability to work efficiently with large data volumes, balancing agility and governance, and reducing the time-to-value. 

In summary, #TrueDataOps emphasizes the importance of treating data as a product instead of a project.