Migrating from Hadoop to Data Lakehouse
The cost, complexity, and viability of existing Hadoop platforms have failed to deliver on business value due to the lack of data science capabilities, the high cost of operations, the inability to scale, the lack of agility, and poor performance. As a result, enterprises are looking to migrate their existing Hadoop platforms to the data lakehouse.
The data lakehouse is a cloud-native platform for data management that provides a powerful engine for data processing and simple tools for developers, analysts, data scientists, and business users in an intuitive user interface (UI). It enables you to build, deploy, scale quickly, and manage analytical applications in minutes instead of hours or days.
The data lakehouse is an open data architecture that combines the best of data warehouses and data lakes on one platform.
