Most organizations routinely operate their business with complex cloud data architectures that silo applications, users and data. As a result, there isn’t a single source of truth of data for analytics, and most analysis is performed with stale data. To solve these challenges, the lakehouse is quickly emerging as the new standard for data architecture, with the promise to unify data, AI and analytic workloads in one place.
In this eBook, you will discover the inner workings of the Databricks Lakehouse Platform. Learn why the data lakehouse is your next cloud data warehouse, how Databricks SQL works under the hood, and how it allows you to operate a multicloud lakehouse architecture that delivers world-class performance and data lake economics with up to 12x better price/performance than legacy cloud data warehouses.
Specifically, you’ll learn:
- How to ingest, store and govern business-critical data at scale to build a curated data lake
- How to get started in seconds with instant, elastic SQL compute to process all query types with best-in-class performance
- How to quickly find and share new insights with a built-in SQL editor, visualizations and dashboards, or your favorite BI tools
- The differences between a data lake vs. data warehouse