Dataconomy

DECEMBER 22, 2022

DataOps presents a holistic approach to designing, building, moving, and utilizing data within an organization. It aims to maximize the business value of data and its underlying infrastructure, both on-premises and in the cloud. However, DataOps should […].

DataOps 91

DataOps Data Governance Database Data Science 91

Dataversity

NOVEMBER 15, 2021

DataOps is something that has been building up at the edges of enterprise data strategies for a couple of years now, steadily gaining followers and creeping up the agenda of data professionals. The number of data requests from the business keeps growing […].

DataOps 110

DataOps Analytics Analytics Data Quality 110

IBM Journey to AI blog

AUGUST 12, 2024

It helps companies streamline and automate the end-to-end ML lifecycle, which includes data collection, model creation (built on data sources from the software development lifecycle), model deployment, model orchestration, health monitoring and data governance processes.

Big Data 106

Big Data Big Data ML ML 106

Alation

OCTOBER 12, 2021

Enterprise data analytics integrates data, business, and analytics disciplines, including: Data management. Data engineering. DataOps. … In the past, businesses would collect data, run analytics, and extract insights, which would inform strategy and decision-making. Business strategy. Analytics forecasting.

Analytics 52

Analytics Analytics Data Governance DataOps 52

Pickl AI

DECEMBER 11, 2024

Governance and Compliance Adhering to governance and compliance standards is non-negotiable in lean data management. To protect sensitive information, establish clear policies for data access, usage, and retention.

Data Silos 52

Data Silos Data Pipeline Artificial Intelligence Artificial Intelligence 52