Wayne Eckerson discusses the critical capabilities required for DataOps success and how to compare different vendors’ DataOps offerings
DataOps Enables Your Data Fabric
Industry analysts who follow the data and analytics industry tell DataKitchen that they are receiving inquiries about “data fabrics” from enterprise clients on a near-daily basis. Forrester relates that out of 25,000 reports published by the firm last year, the report...
The DataOps Vendor Landscape, 2021
Download the 2021 DataOps Vendor Landscape here. Read the complete blog below for a more detailed description of the vendors and their capabilities. DataOps is a hot topic in 2021. This is not surprising given that DataOps enables enterprise data teams to generate...
Tame DataOps System Complexity with a DataOps Platform
Watch this live demo of the DataKitchen DataOps Platform.
How DataOps Kitchens Enable Version Control
This blog builds on earlier posts that defined Kitchens and showed how they map to technical environments. We’ve also discussed how toolchains are segmented to support multiple kitchens. DataOps automates the source code integration, release, and deployment workflows...
How to Build a Successful Cloud DataOps Program
We discuss the core capabilities required for a successful DataOps program and how a DataOps platform complements the tools provided by cloud vendors, ensuring that you get the most out of your cloud investment.
Eckerson Group: DataOps Deep Dive
Leading a DataOps Cultural Revolution Eckerson Group Best Practices in DataOps: How to Create Robust, Automated Data Pipelines DataOps promises to take the pain out of managing data for reporting and analytics. In most companies, data travels a tortuous route from...
Six Top DataOps Trends for 2021
Since the term was coined, DataOps has expanded the way that people think about data analytics teams and their potential. 2020 was a huge year in DataOps industry acceptance. Media mentions of DataOps are on track to increase 52% over the prior year. To date in 2020,...
Why DevOps Tools Fail at DataOps
Implementing DataOps requires a combination of new methods and automation that augment an enterprise’s existing toolchain. The fastest and most effective way to realize the benefits of DataOps is to adopt an off-the-shelf DataOps Platform. Some organizations try to...
Believe It Or Not, Your Tools are DataOps Compatible
Almost every data analytic tool can be used in DataOps, but some don’t enable the full breadth of DataOps benefits. DataOps views data-analytics pipelines like a manufacturing process that can be represented by directed acyclic graphs. Each node in the graph...
