Key Benefits of DataOps as an Approach to Data Management

Team Zaloni January 5th, 2021

Incorporating DataOps into the Data Supply Chain

The following blog post summarizes a recent article Zaloni’s CEO, Susan Cook, wrote for TechNative that discusses 7 unheard benefits of DataOps.

The term DataOps was first coined in 2014, establishing itself in the data and analytics space for a new data management style that not only could reduce costs but increase time to analytics and enable AI and ML for improved learning outcomes for data consumers. 

In her article, Susan touches on the invaluable aspects and benefits of incorporating a DataOps approach into the data supply chain. With the amount of data doubling within 12-18 months following its creation, the window for effectively and efficiently using that data is small. Such complex data ecosystems create monstrous challenges when it comes to visibility and control for data producers working with raw data sets. By harnessing the power of DataOps, Data Engineers and Stewards can have the opportunity to view their data ecosystem with a birds-eye view enabling them to execute data pipelines, enabling advanced analytics and accelerating time to insight for data analysts and consumers alike. To successfully deliver data for a variety of use cases, it is essential to establish a DataOps foundation that will scale with new and recurring use cases while proving itself as the essential factor for modern data solutions that meet the demands of growing data ecosystems and reach new heights for business initiatives. 

Check out Zaloni’s featured article, The 7 Benefits of DataOps You’ve Never Heard, on TechNative today. At Zaloni, our DataOps Arena Platform delivers the extensibility and control that puts our customers on the fastest route to data success while saving costs and time, so be sure to schedule a demo with our data experts to find out your customized data solution.

about the author

Team Zaloni

This team of authors from Team Zaloni provide their expertise, best practices, tips and tricks and use cases across varied topics incuding: data governance, data catalog, dataops, observability, and so much more.