Integrate your BI project with IBM Cloud Pak for Data

Integrate your BI project with IBM Cloud Pak for Data

Nearly two years after the acquisition of Red Hat, IBM fulfills the promise of a hybrid Cloud with the launching of integrated solutions that facilitate management and deployment of containerized applications.

At the end of 2017, IBM launched IBM Cloud Private for Data, a platform that leverages the power of virtualization to aggregate all enterprise data into a single, unified environment based on private infrastructures. Two years later, Big Blue capitalized on the acquisition of Red Hat to enrich their offer and make it natively compatible with the hybrid Cloud.

A single, unified data platform

Renamed “IBM Cloud Pak for Data”, it now includes OpenShift, micro services and the Kubernetes orchestrator’s capabilities to configure applications running in containers. It is thus now possible to deploy and operate them from any certified Cloud, be it public or private, regardless of the infrastructure they are hosted on.

The offer is presented as a wide services portfolio in which the company will choose the most relevant ones in order to build the platform that is the most adapted to its applicative needs. The portfolio integrates the virtualization layer, the Datawarehouse (Db2), the governance and of course all the Data Science components dedicated to data processing, visualization or enhancement (such as IBM Streams, Db2 Event Store, Information Analyzer, etc.). IBM is also adding a number of accelerators, which are presented as ready-to-use analytics models for applications in the sectors of finance, healthcare or energy.

Collection, storage, organization, enrichment, AI: the platform seems to cover most if not all data and AI needs.

IBM Cloud Pak for Data: what are the benefits for the company?

For companies that already use IBM services & tools – starting with WebSphere and JBoss – the introduction of IBM Cloud Pak for Data simplifies the migration of applications to a modern and scalable infrastructure.

Through its unified approach, the platform extends enterprise-wide data access by removing silo effects. The microservices catalogue provides greater functional flexibility, while accelerating the deployment speed. Finally, OpenShift and Kubernetes guarantee compatibility with all the major Cloud providers on the market, from AWS to Alibaba, Azure and Google.

According to Forrester, 60% of companies are facing challenges in integrating and managing their data. IBM Cloud Pak for Data thus aims at enabling the building of a modular and flexible platform that can be operated either by the user or on a managed mode.