DataOps

Overview

What is DataOps?

DataOps (data operations) is the orchestration of people, processes, and technology to deliver trusted, business-ready data to data citizens, operations, applications and artificial intelligence (AI) fast. IBM DataOps (formerly known as Unified Governance and Integration) enables agile data collaboration driving speed and scale of operations and analytics throughout the data lifecycle.

IBM DataOps capabilities help create a business-ready analytics foundation by providing market-leading technology that works together with AI-enabled automation, infused governance, data protection, and a powerful knowledge catalog to operationalize continuous, high-quality data across the business. These capabilities help increase efficiency, data quality, findability and governing rules in order to provide a self-service data pipeline to the right people at the right time from any source.

IBM Cloud Pak® for Data, an all-in-one cloud-native data and AI platform, enables you to take advantage of a broad set of DataOps capabilities and integrate them quickly into applications to accelerate innovation. From solutions that facilitate governing data lakes to application development to ensuring regulatory compliance, IBM DataOps quickly and responsibly puts increased performance and business innovation within reach because you know, trust and use your data.

Read the DataOps ebook

IBM DataOps capabilities

How to organize your data and make it more trusted and secure

Data governance

Catalog, protect and govern all data types, trace data lineage, and manage data lakes.

Data integration

Integrate, replicate and virtualize data in real time to meet data access and delivery needs fast across multiple clouds.

Master data management

Get a single, trusted, 360-degree view of data and enable users to know their data.

Data quality

Cleanse and manage data while making it available across your entire organization.

Data preparation

Transform large amounts of raw data into quality, consumable information.

Data replication

Provide real-time change data capture and synchronization to make data available fast.

Data cataloging

Automate metadata and policy management, provide consistent definitions and enable self-service management of high-quality enterprise data.

IBM Watson® Knowledge Catalog

Activate data for AI, business operations and analytics with a modern data catalog designed for data scientists, data governance professionals and business analysts.

IBM InfoSphere DataStage®

A highly scalable data integration tool for designing, developing and running jobs that move and transform data that can be deployed on IBM Cloud Pak for Data, IBM Cloud, or on premises

IBM Cloud Pak for Data

A flexible multicloud data platform that integrates all your data, whether on premises or on any cloud, while helping keep it more secure at its source