Alation

MAY 24, 2022

generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and Data Governance application.

Data Quality 98

Data Quality Data Governance ETL Data Observability 98

Flipboard

NOVEMBER 27, 2024

His mission is to enable customers achieve their business goals and create value with data and AI. He helps architect solutions across AI/ML applications, enterprise data platforms, data governance, and unified search in enterprises. Modify the stack name or leave as default, then choose Next.

AWS 148

AWS Database ML ML 148

phData

AUGUST 9, 2024

Typically, this data is scattered across Excel files on business users’ desktops. They usually operate outside any data governance structure; often, no documentation exists outside the user’s mind. Multi-person collaboration is difficult because users have to download and then upload the file every time changes are made.

ETL 52

ETL Data Warehouse Data Governance Tableau 52

The MLOps Blog

MARCH 15, 2023

Data governance: Ensure that the data used to train and test the model, as well as any new data used for prediction, is properly governed. For small-scale/low-value deployments, there might not be many items to focus on, but as the scale and reach of deployment go up, data governance becomes crucial.

AWS 52

AWS ETL ML ML 52

Alation

OCTOBER 27, 2022

We specialize in multiple functions, which include but are not limited to, data governance , dashboarding, data & analytics engineering, and data science. At Alation, we focus most of our time on connecting data sources and building useful data transformations to provide reporting for different teams.

Data Analyst 52

Data Analyst Data Scientist Analytics Analytics 52

phData

JULY 18, 2023

Slow Response to New Information: Legacy data systems often lack the computation power necessary to run efficiently and can be cost-inefficient to scale. This typically results in long-running ETL pipelines that cause decisions to be made on stale or old data. However, merely knowing what it consists of isn’t enough.

Data Warehouse 52

Data Warehouse Analytics Analytics Cloud Data 52

DagsHub

OCTOBER 23, 2024

is similar to the traditional Extract, Transform, Load (ETL) process. It operates in three stages: Extract unstructured data from a source. Transform the unstructured data into a more structured format. Ingest the transformed data into a designated destination. Unstructured.io

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52