03/01/2022 Pistevo Decision announces partnership with Databricks
Pistevo Decision, an elite consulting firm with strong experience in developing impactful software and data product, today announced the partnership with Databricks, the world’s first and only lakehouse platform in the cloud, combining the best of data warehouses and data lakes to offer an open and unified platform for data and AI.
The partnership enables Pistevo and Databricks to transform our joint customers into data-driven enterprises by providing a Simple. Open. Multicloud Databricks Lakehouse Platform, which combines the best elements of data lakes and data warehouses to deliver the reliability, strong governance and performance of data warehouses with the openness, flexibility and machine learning support of data lakes.
This unified approach simplifies your modern data stack by eliminating the data silos that traditionally separate and complicate data engineering, analytics, BI, data science and machine learning. It’s built on open source and open standards to maximize flexibility. And, its common approach to data management, security and governance helps you operate more efficiently and innovate faster.
Simple
The unified approach simplifies your data architecture by eliminating the data silos that traditionally separate analytics, BI, data science and machine learning. With a lakehouse, you can eliminate the complexity and expense that make it hard to achieve the full potential of your analytics and AI initiatives.
Open
Delta Lake forms the open foundation of the lakehouse by providing reliability and world-record-setting performance directly on data in the data lake. You’re able to avoid proprietary walled gardens, easily share data, and build your modern data stack with unrestricted access to the ecosystem of open source data projects and the broad Databricks partner network.
Multicloud
The Databricks Lakehouse Platform offers you a consistent management, security, and governance experience across all clouds. You don’t need to invest in reinventing processes for every cloud platform that you’re using to support your data and AI efforts. Instead, your data teams can simply focus on putting all your data work to discover new insights.
