Fresh off our June meetup, we're back with another session in July! Join us for a deep dive into modern data systems featuring high-performance query engines for distributed and cloud-native architectures. SAP will present the HANA Native Query Engine for lakehouse analytics, while PingCAP will explore TiDB, a distributed SQL database built for scalability and real-time workloads.
Please note: This event will have a waiting list once we reach the venue's capacity. If the RSVP limit is full, you'll be placed on the waiting list automatically. Should spots open up, people will be admitted in the order they joined the list.
The HANA Native Query Engine for Lakehouse Systems
Modern enterprise systems increasingly store data in lakes for cost and scalability, using columnar formats like Parquet and open table formats like Iceberg or Delta. This shift challenges traditional databases to deliver high performance on complex analytical queries over remote data. In this talk, we present SQL-on-Files (SoF), an adaptation of the HANA Cloud Database Engine for efficient file-based processing in SAP's Business Data Cloud. We discuss architectural choices like pushdown vs. direct access, highlight design decisions around execution, optimization, and caching, and show how SoF delivers performance gains on analytical workloads in a new warehouse benchmark.
TiDB under the hood
This talk introduces TiDB and the concept of distributed databases, which store parts of a database across multiple machines for scalability and reliability. Developed by PingCAP, TiDB is built using open-source components and features a robust architecture that includes TiKV, RocksDB, Raft, PD, TSO, and TiFlash. The agenda covers the history of TiDB, its core building blocks, and a concluding overview of its capabilities.
This event will provide deep technical insights into high-performance query engines and distributed database architectures. Whether you're working with lakehouse systems, building scalable data platforms, or implementing cloud-native solutions, expect an evening filled with cutting-edge technology discussions and practical implementation insights.
Join us for an exploration of modern data systems that are shaping the future of analytics and distributed computing! See you there! π