Alation

MARCH 22, 2022

Data people face a challenge. They must put high-quality data into the hands of users as efficiently as possible. DataOps has emerged as an exciting solution. As the latest iteration in this pursuit of high-quality data sharing, DataOps combines a range of disciplines. Accenture’s DataOps Leap Ahead.

DataOps 52

DataOps Data Pipeline Data Engineer Data Engineering 52

Dataversity

JULY 23, 2021

A bevy of new coding practices, from DevSecOps to DataOps, has […]. We now know the story of how, over the past decade, the CIO role has transformed to be that of a coach. IT has morphed into a democratized DevOps team, requiring a new model for leadership.

DataOps 98

DataOps Cloud Data 98

Alation

JUNE 21, 2022

The audience grew to include data scientists (who were even more scarce and expensive) and their supporting resources (e.g., ML and DataOps teams). After that came data governance , privacy, and compliance staff. Power business users and other non-purely-analytic data citizens came after that. data pipelines) to support.

DataOps 52

DataOps Data Scientist Data Quality Data Pipeline 52

Dataversity

SEPTEMBER 8, 2023

Data Management has never been more critical than today. As AI grows more prominent, data initiatives are more important than ever. As the digital age propels us forward, the need for robust DataOps strategies becomes evident. Data-focused practitioners have a unique relationship with data.

DataOps 64

DataOps AI AI Cloud Data 64

Alation

DECEMBER 13, 2022

Cloud migration. For example, the researching buyer may seek a catalog that scores 6 for governance, 10 for self-service, 4 for cloud data migration, and 2 for DataOps (let’s call this a {6, 10, 4, 2} profile). The metadata that springs from these activities, in turn, informs a self-improving catalog.

DataOps 52

DataOps Data Governance Data Silos Data Scientist 52

Alation

APRIL 4, 2023

Now, joint users will get an enhanced view into cloud and data transformations , with valuable context to guide smarter usage. At the heart of this release is the need to empower people with the right information at the right time. To build effective data pipelines, they need context (or metadata) on every source.

DataOps 52

DataOps Data Engineer Data Engineering Data Engineering 52

Dataversity

MARCH 29, 2021

The post The Move to Public Cloud and an Intelligent Data Strategy appeared first on DATAVERSITY. Click to learn more about author Joe Gaska. This is especially true when it comes to applications. As […].

DataOps 94

DataOps Data Lakes Azure Cloud Data 94