DataOps

Overview

What is DataOps?

DataOps is the orchestration of people, processes, and technology to deliver trusted, business-ready data to data citizens, operations, and applications throughout the data lifecycle. With properly governed data, businesses can comply with complex regulations, data privacy and ensure artificial intelligence (AI) model accuracy by monitoring data quality.

Organizations can deploy market-leading DataOps capabilities with IBM Cloud Pak® for Data, a containerized cloud-native platform built on Red Hat® OpenShift®. Solutions include multicloud data integration, automated data cataloging and master data management that increase efficiency, data quality, findability and governing rules in order to provide a self-service data pipeline.

Read “How DataOps can accelerate your journey to AI” ebook to learn more about the critical role of DataOps in your organization.

Data compliance and privacy

Drive business insights

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.

Featured products

IBM Watson® Knowledge Catalog

A modern data catalog designed to help data scientists, data governance professionals and business analysts activate data for AI, business operations and analytics

IBM InfoSphere DataStage®

A highly scalable data integration tool for designing, developing and running jobs that move and transform data; 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