Alation

MARCH 22, 2022

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. People want to know how to implement DataOps successfully.

DataOps 52

DataOps Data Pipeline Data Engineering Data Engineering 52

Precisely

FEBRUARY 9, 2024

They’re where the world’s transactional data originates – and because that essential data can’t remain siloed, organizations are undertaking modernization initiatives to provide access to mainframe data in the cloud. That approach assumes that good data quality will be self-sustaining.

Data Quality 68

Data Quality DataOps Data Silos Artificial Intelligence 68

AWS Machine Learning Blog

JULY 31, 2023

We explain the metrics and show techniques to deal with data to obtain better model performance. Prerequisites If you would like to implement all or some of the tasks described in this post, you need an AWS account with access to SageMaker Canvas. Indrajit is an AWS Enterprise Sr. Solutions Architect.

ML 98

ML ML Data Preparation Machine Learning 98

phData

MAY 7, 2025

Unlock the full potential of Apache Icebergs metadata tables to enhance your data platforms reliability, observability, and operational efficiency. Through practical examples with AWS Glue jobs, this blog demonstrates how to query Icebergs metadata tables using SQL and turn hidden information into actionable insights. Its all built in.

DataOps 52

DataOps AWS SQL Data Engineering 52