Informatica dives into ‘market disrupting’ Business Data Lake

Capgemini has announced that Informatica is now part of the Business Data Lake ecosystem, which has been developed by Capgemini and Pivotal.

The partnership means that customers will be able to leverage Informatica’s data integration software in addition to Pivotal’s big data analytics and applications software.

Users will also be able to utilise Capgemini’s industry and implementation knowledge.

Steve Jones, global vice president of Big Data at Capgemini, said: "The Business Data Lake is disrupting the market and redefining the way the enterprise approaches its business information."

"With Informatica’s certification of its technology on the Pivotal Big Data Suite, this enables Pivotal, Informatica and Capgemini to answer some of the biggest questions about information today: how can companies take advantage of the information explosion and still remain in control?"

"How can you deliver next generation analytics but have the assurance that the information being used is proven? Rather like a super search engine "in a box," this solution will help companies transform into truly Data Driven Enterprises, with a business-centric view across all structured and unstructured data."

The purpose of the Business Data Lake is to provide a unified approach to information management, reporting and integration and the inclusion of Informatica will build on the existing capabilities of the data lake.

Amit Walia, senior vice president and general manager, Data Integration and Data Security, Informatica, said: "To successfully implement a Business Data Lake, companies need to operationalize the entire data pipeline that distills raw data into high quality information."

"We’re excited to be part of the Capgemini and Pivotal Business Data Lake Ecosystem. Informatica accelerates and simplifies the data integration and data governance process, so the business has rapid access to actionable insights."

The inclusion of Informatica into the Business Lake ecosystem should help to reduce customer implementation time and help to deliver real-time predictive analytics.