Introducing Data Operations (DataOps)
Data is the fuel for innovation and sustaining a competitive advantage. It is the key ingredient for driving analytics and understanding business trends and opportunities. Unlocking this value in new ways can accelerate an organization's journey to AI.
DataOps is focused on enabling collaboration across an organization to drive agility, speed, and new data initiatives at scale. By using the power of automation, DataOps is designed to solve challenges associated with inefficiencies in accessing, preparing, integrating, and making data available.
At the core of DataOps is an organization's information architecture, which addresses the following questions:
- Do you know your data? Do you trust your data?
- Are you able to quickly detect errors?
- Can you make changes incrementally without "breaking" your entire data pipeline?
To answer all these questions, the first step is to take inventory of your...
