CXO Decision Brief: Data Lakehouses and Data-Driven Operation
Data lakehouses are analytics repositories that combine the best of data lakes and data warehouses. Cloudera Lakehouse is part of an end-to-end platform that is deployment target-agnostic, features a unified management and control plane, and uses the fast, open Iceberg table format.
Facilitates data literacy and data-driven operations, while enhancing trust in data through governance.
- Greater efficiency and competitiveness lowers costs and raises revenue
- Data sharing and increased adoption of the lakehouse
- Analytics practices enable machine learning and predictive analytics
Worth immediate consideration if organizations have exhausted the versatility of their data warehouses or the performance of previous-generation data lakes. Data-driven operations are a must; organizations need a truly open data platform to integrate with tools, engines, and all data.
Implementing a data lakehouse requires training, coaching, and development of habits that embed data-driven analysis into business decisions. Accountable stakeholders must learn to grant autonomy to team members, and there must be ways to measure and monitor the impact of these changes.
Best-of-breed implementations may produce integration and support headaches, while coordinating deployment of data governance, access, discoverability, and self-service remains challenging. Large orgs will need an integrated, end-to-end platform to meet flexibility and consistency requirements.