Unifying data science and engineering. Accelerate AI and innovation with Capgemini and Databricks.

Big data is an opportunity. The creators of Apache Spark built the first unified analytics platform for data engineering and data science, becoming the industry standard for data processing. Then those innovators founded Databricks to deliver data processing to Amazon Web Services and Microsoft Azure clouds. By licensing an optimized version of Spark for cloud, Databricks democratized data processing.

Now, enterprises of all sizes and technical capabilities can achieve the promise of AI. With the ability to reliably process data at scale, data engineers and data scientists can collaborate using the Databricks platform to deliver AI and machine-learning projects, creating new revenue streams, lowering technical and human costs, and reducing risk.

In 2018, Capgemini was one of the first global systems integrators to formalize a partnership with Databricks. The undeniable power of the Unified Analytics Platform born in the cloud and built on top of Apache Spark is a perfect addition to Capgemini’s Modern Digital Estate for AI.

Working with Capgemini and Databricks delivers:

  1. Industry-leading accelerators to reduce time-to-market and drive innovation
  2. Enterprise agility and more insights out of data, with the partner recognized as the leader in the Gartner Magic Quadrant
  3. Proven value, diverse use cases, and successful global implementations.

Our industry experience includes:

Capgemini and Databricks Industry Expertise

With nearly 50 Databricks-trained Spark developers and an additional 100-plus experts offshore, we have built the largest Spark resource pool in the world.

Goutham Belliappa, VP, AI and Big Data Practice, Capgemini North America

Learn how Databricks can tap into your big-data opportunity and deliver innovation to your business.

Meet Our Experts

Kari Shivach

Expert in Azure, Big Data Analytics, GCP, Modern Data Lakes on AWS


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