Eckerson Group Trends in DataOps: Bringing Scale and Rigor to Data and Analytics
Most organizations are plagued by data silos, poor data quality, slow development processes,
and a huge gulf between business and IT. DataOps promises to address these challenges and
enable data teams to develop data pipelines “faster, better, cheaper.” DataOps therefore has
the potential to heal the rift between business and IT and help organizations get more value
from their data.
This report is a sequel to our June 2019 report Best Practices in DataOps: How to Create
Robust, Automated Data Pipelines, which profiled numerous DataOps pioneers and examined
the keys to their success. This report surveys data and analytics professionals and provides an
overview of the trends in DataOps, including adoption rates, benefits, challenges, use cases,
and data processing environments. Both reports should be read together.
Enter your email address to download and view the entire white paper: