Introducing DataOps

DataOps is a collaborative data management framework that can be applied to a Data Fabric architecture by managing the stages from the creation to the deployment of data. It offers an operational model for data to deliver quality analytics. DataOps and Data Fabric can be executed independently of one another, but when used together, they create a high-quality, automated, cost-effective, and well-governed data environment on steroids. This chapter will introduce the DataOps framework and its principles. It will also look at its evolution from other popular frameworks such as DevOps, Statistical Process Control (SPC), and Agile. We will discuss the applicability of Data Quality to data observability, a subcomponent of DataOps, and the alignment of DataOps and Data Fabric.

By the end of this chapter, you will understand the basics of DataOps and how it aligns with Data Fabric.

In this chapter, we will cover the following topics:

• What is DataOps?
• DataOps...