Overhauling Data Management at Apna
Blog post from Onehouse
The blog post summarizes a presentation from the Open Source Data Summit 2023, where Ronak Shah and Sarfaraz Hussain discussed Apna's implementation of the Universal Data Lakehouse to enhance their data platform's efficiency and reliability. The new architecture, named Apna Analytics Ground (AAG), integrates the flexibility of a data warehouse with advanced analytics capabilities of a data lake, utilizing tools like Apache Hudi, Onehouse, and Kafka for streamlined data ingestion and processing. This innovation addresses previous limitations in Apna's data management, such as batch processing inefficiencies and high costs associated with complex ETL operations, by enabling near real-time data availability, improved data consistency, and reduced potential points of failure. The medallion architecture organizes data into bronze, silver, and gold layers, enhancing data accessibility for various use cases, including machine learning and business intelligence, while supporting diverse compute engines like Spark and Presto. The new system also provides custom alerts and monitoring, allowing Apna to decouple storage and compute resources, optimize costs, and maintain operational flexibility without vendor lock-in.
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