Dataversity

SEPTEMBER 27, 2021

DataOps, which focuses on automated tools throughout the ETL development cycle, responds to a huge challenge for data integration and ETL projects in general. The post DataOps Highlights the Need for Automated ETL Testing (Part 2) appeared first on DATAVERSITY. Click to learn more about author Wayne Yaddow. The […].

DataOps 98

DataOps ETL Data Pipeline Data Warehouse 98

Dataversity

DECEMBER 14, 2020

It was only a few years ago that BI and data experts excitedly claimed that petabytes of unstructured data could be brought under control with data pipelines and orderly, efficient data warehouses. But as big data continued to grow and the amount of stored information increased every […].

DataOps 59

DataOps Data Pipeline Data Warehouse Big Data 59

Dataversity

AUGUST 30, 2021

DataOps, which focuses on automated tools throughout the ETL development cycle, responds to a huge challenge for data integration and ETL projects in general. The post DataOps Highlights the Need for Automated ETL Testing (Part 1) appeared first on DATAVERSITY. Click to learn more about author Wayne Yaddow. The […].

DataOps 52

DataOps ETL Data Pipeline Data Warehouse 52

IBM Journey to AI blog

OCTOBER 22, 2024

A flexible approach that enables tooling coexistence as well as flexibility with locality of pipeline execution with targeted data planes or pushdown of transformation logic to data warehouses or lakehouses decreases unnecessary data movement to reduce or eliminate data egress charges.

Data Silos 102

Data Silos Data Pipeline DataOps Business Intelligence 102

Alation

JANUARY 25, 2022

Automated Data Orchestration (AKA DataOps). Automated data orchestration interweaves data with connecting processes. DataOps is the leading process concept in data today. See Gartner’s “ How DataOps Amplifies Data and Analytics Business Value ”). Alation Data Catalog for the data fabric.

DataOps 52

DataOps SQL ML ML 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. And now with some of these cloud data warehouses becoming such behemoths, everything is getting centralized again.

Data Warehouse 52

Data Warehouse Data Engineering Data Engineering Data Engineer 52

phData

MAY 11, 2023

Many open-source and free tools exist, such as Flyway, Liquibase, schemachange, or DataOps. Snowflake has so many features that make it the leader in the Cloud Data Warehouse market. Cloning in Snowflake simply means that the data in the clone is not a copy of the original data but simply points back to the original data.

Database 52

Database SQL DataOps Data Warehouse 52