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 Engineering Data Engineer 52

Alation

APRIL 18, 2023

Top use cases for data profiling Data governance Data governance describes how data should be gathered and used within an organization, impacting data quality, data security, data privacy , and compliance. It can locate the ten things that may cause a problem instead of just one thing.

Data Profiling 52

Data Profiling Data Quality Data Governance Data Pipeline 52

Alation

MAY 24, 2022

Data consumers need that information to trust that the data is good to use. Data quality is one of the primary signals behind whether or not a data asset or analytical report can be trusted. So understanding data quality is extremely important for an organization to drive the correct decisions from analytics.

Data Quality 52

Data Quality Data Pipeline DataOps Analytics 52

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.

DataOps 52

DataOps Data Scientist Data Quality Data Pipeline 52

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. Data mesh says architectures should be decentralized because there are inherent problems with centralized architectures.

Data Warehouse 52

Data Warehouse Data Engineering Data Engineer Data Engineering 52

Alation

OCTOBER 12, 2021

Enterprise data analytics enables businesses to answer questions like these. Having a data analytics strategy is a key to delivering answers to these questions and enabling data to drive the success of your business. What is Enterprise Data Analytics? Data engineering. DataOps. …

Analytics 52

Analytics Analytics Data Governance DataOps 52