Database Building Blocks Seminar Series – Fall 2024

Like a hobo putting together a sandwich in a parking lot using discarded foods from multiple restaurants, many modern database management systems are comprised of composable building blocks. This modular approach enables system builders to spend less time building the banal but necessary components and instead leverage off-the-shelf software. This shift towards modularity also enhances maintainability and simplifies integration with other systems.

Given this, the Carnegie Mellon University Database Research Group is exploring this recent trend with the Building Blocks Seminar Series. Each speaker will present the implementation details of their respective systems and examples of the technical challenges they faced when working with real-world customers.

All talks are on-line and open to the public via Zoom. You do not need to be a current CMU student to attend. Random people off of the internet are especially welcome. Videos will be posted on the CMU-DB YouTube Channel after each talk.

Schedule

	Date	Speaker	Talk Title	Video
Sep 23	Sep 23	Andrew Lamb	Apache Arrow DataFusion: A Fast, Embeddable, Modular Analytic Query Engine
Sep 30	Sep 30	Andy Grove	Accelerating Apache Spark workloads with Apache DataFusion Comet
Oct 7	Oct 7	Philippe Noël	ParadeDB – Postgres for Search and Analytics
Oct 21	Oct 21	Luke Kim	Accelerating Data and AI with Spice.ai Open-Source Software
Oct 28	Oct 28	Trent Hauck	Exon: A Built for Purpose Bioinformatics Database
Nov 4	Nov 4	Mehmet Ozan Kabak	Towards “Unified” Compute Engines: Opportunities and Challenges
Nov 11	Nov 11	Paul Dix	Building InfluxDB 3.0 with the FDAP Stack: Apache Flight, DataFusion, Arrow and Parquet
Nov 18	Nov 18	Sean Smith	Biting the Bullet: Rebuilding GlareDB from the Ground Up	—
Nov 25	Nov 25	Ruihang Xia	Implement, Integrate and Extend a Query Engine	—
Dec 2	Dec 2	Xuanwo	Apache OpenDAL: One Layer, All Storage	—