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:
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.”
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.