IBM Cloud Pak for Data

Overview

IBM Cloud Pak ? for Data is an integrated solution for implementing a complete analytics environment. This includes various IBM and open source tools for integrating, storing, analyzing and optimizing data and information. The platform is based on open container technology, Red Hat OpenShift and Kubernetes. This means that it can be configured individually, operated easily and flexibly expanded at any time. IBM Cloud Pak ? for Data is available both in the cloud and on-premises for deployment on different hardware systems.

Digital transformation through AI is the key to business innovation. Deployable in just hours and easily extendable IBM Cloud Pak for Data runs across any cloud, enabling organizations to more easily integrate their analytics and applications to speed innovation. IBM Cloud Pak for Data lowers your total cost of ownership, accelerates innovation based on open-source technologies, and fully supports multicloud environments such as Amazon Web Services (AWS), Azure, Google Cloud, IBM Cloud? and private clouds

Features and benefits

Single, unified platform

Speed time to value with a single platform that integrates data management, data governance and analysis for greater efficiency and improved use of resources. Help enable self-service collaboration across teams.

Data virtualization

Query data more easily & more securely across multiple sources, on cloud or on premises. Exploit the combined processing power of those sources for massive query acceleration. Achieve the speed and scalability your business needs

Built-in data governance

Efficiently respond to changing regulations with embedded, sophisticated governance capabilities; these include automated discovery and classification of data, masking of sensitive data, data zones and data lifecycle management.

Unified data and AI services

Manage end-to-end data workflows to help ensure that data is easily accessible for AI. Make sure that your data is high-quality to deliver accurate, automated insights & decisions. Seamlessly build & manage machine-learning models across development

Extensible APIs and ecosystem

Benefit from a broad ecosystem of complementary hardware, software and services through a growing service catalog. Provision preferred data services flexibly and rapidly, and customize data workflows to your individual needs.