Migration Guide: Hadoop to Databricks
The decision’s been made: Farewell, Hadoop. It’s time to unlock the full potential of data, empower data teams to innovate faster on data science and AI/ML use cases, and realize higher ROI. It’s time to modernize.
Most Hadoop users, when planning the future of their data strategy, are frustrated with their existing Hadoop platforms due to the inability to scale data science and AI/ML capabilities, the high cost of operations and poor performance.
Customers with legacy Hadoop environments find themselves gearing up for massive modernization initiatives to get to the cloud. If not planned properly, the process can be overwhelming and complex. This comprehensive self-guided playbook will assist you step-by-step with migrating from Hadoop to the Databricks Lakehouse Platform.
Combining the best elements of data lakes and data warehouses, the Databricks Lakehouse Platform delivers the reliability, strong governance and performance of data warehouses with the openness, flexibility and machine learning support of data lakes.
In this technical guide, you will learn how to:
- Get started with platform administration
- Jump into application deployment, testing and development — with code snippets and sample notebooks
- Explore the path forward after migration
- Accelerate your data science and ML/AI workloads