Remove categories dataops
article thumbnail

The DataOps Vendor Landscape, 2021

DataKitchen

Download the 2021 DataOps Vendor Landscape here. DataOps is a hot topic in 2021. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. As a result, vendors that market DataOps capabilities have grown in pace with the popularity of the practice.

Testing 307
article thumbnail

Gartner Market Guide to DataOps Software

DataKitchen

We are excited that Gartner released its ‘Market Guide to DataOps’ ! The two things we are most excited about are: First, DataOps is distinct from all Data Analytic tools. How is DevOps different than DataOps ? DataOps Observability. What is missing? If so, what are the key components? Gartner agrees: .

Software 130
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

The Syntax, Semantics, and Pragmatics Gap in Data Quality Validation Testing 

DataKitchen

To understand the time crunch that data engineers face and how it prevents them from testing their data sufficiently, we can think about three categories of data tests, using linguistics as an analogy: data syntax vs. semantics vs. pragmatics. One of the standout features of DataOps TestGen is the power to auto-generate data tests.

article thumbnail

DataOps Reports that Keep Your Finger on the Pulse

DataKitchen

DataOps uses automation to create unprecedented visibility into data operations. Below we’ll show an actual report used by a DataOps enterprise. For example, an updated production status could be in that category for certain applications. Analytics, in the modern enterprise, span toolchains, teams, and data centers.

Reporting 243
article thumbnail

Two Downs Make Two Ups: The Only Success Metrics That Matter For Your Data & Analytics Team

DataKitchen

Gartner attempted to list every metric under the sun in their recent report , “T oolkit: Delivery Metrics for DataOps, Self-Service Analytics, ModelOps, and MLOps, ” published February 7, 2023. It lists forty-five metrics to track across their Operational categories: DataOps, Self-Service, ModelOps, and MLOps.

Metrics 130
article thumbnail

IBM Consulting unveils Center of Excellence for generative AI

IBM Big Data Hub

With IBM Garage for Generative AI, IBM consultants apply a proven, collaborative method to help clients fast-track innovation in the emerging category of foundation models for generative AI.

article thumbnail

What is a data architect? Skills, salaries, and how to become a data framework master

CIO Business Intelligence

A sampling of data architect job descriptions shows key areas of responsibility such as: creating a DataOps and BI transformation roadmap, developing and sustaining a data strategy, implementing and optimizing physical database design, and designing and implementing data migration and integration processes.