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.

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DataOps Data Pipeline Data Engineering Data Engineer 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.

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DataOps AI AI Cloud Data 64

Alation

JANUARY 25, 2022

Data fabric is now on the minds of most data management leaders. In our previous blog, Data Mesh vs. Data Fabric: A Love Story , we defined data fabric and outlined its uses and motivations. The data catalog is a foundational layer of the data fabric. Automated Data Orchestration (AKA DataOps).

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DataOps SQL ML ML 52

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). Curious to learn more about data catalogs? Subscribe to Alation's Blog.

DataOps 52

DataOps Data Governance Data Silos Data Scientist 52

Alation

APRIL 4, 2023

Building data pipelines is challenging, and complex requirements (as well as the separation of many sources) leads to a lack of trust. Troubleshooting data issues , for an exploding number of disjointed systems and tools, breaks self-service for data users and creates gaps in visibility for dataOps. The post Alation 2023.1:

DataOps 52

DataOps Data Engineering Data Engineer 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 […].

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DataOps Data Lakes Azure AWS 94

Alation

AUGUST 11, 2022

DataOps sprung up to connect data sources to data consumers. The data warehouse and analytical data stores moved to the cloud and disaggregated into the data mesh. And now with some of these cloud data warehouses becoming such behemoths, everything is getting centralized again.

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Data Warehouse Data Engineering Data Engineer Data Engineering 52