Build a Modernized & Sustainable ETL Offload Solution for Hadoop With Inbuilt Best Practices
Organizations suffer from high ETL complexities, costs, data latency and redundancy when they go through a data warehouse modernization. Diyotta uses Hadoop as an enterprise data hub to reduce traditional enterprise data warehouse costs and improve performance. This offers a scope of faster ingestion and data integration of all forms of data – structured and unstructured – and can run multiple transformation jobs and deliver information to multiple systems, enabling faster analytics for better insights.
Cuts down ETL complexity
and increases agility
Unlimited scalability and
Data remains reusable
Diyotta – ETL Offload Solution Architecture
Enterprise Data Warehouse is a crucial component within the overall data ecosystem. The traditional ETL processing has maxed out impacting the data delivery to who needs it and suffers from performance bottlenecks. Diyotta instantly helps offload heavy ETL processing to Hadoop and improves processing time with its innovative pushdown architecture for universal big data platforms.
- Diyotta has faster SQL based transformations
- Improved data quality
- Have a faster recovery with transactions.
- Accomplish greater business agility with more readily accessible insights on your data