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.

This seminar series is held in conjunction with the following groups at Carnegie Mellon:

Schedule

Date Speaker Talk Title Video
Sep 23Datafusion Sep 23 Andrew Lamb Apache Arrow DataFusion: A Fast, Embeddable, Modular Analytic Query Engine
Sep 30Apache DataFusion Comet Sep 30 Andy Grove Accelerating Apache Spark workloads with Apache DataFusion Comet
Oct 7ParadeDB Oct 7 Philippe Noël ParadeDB – Postgres for Search and Analytics
Oct 21Spice.ai Oct 21 Luke Kim Accelerating Data and AI with Spice.ai Open-Source Software
Oct 28Exon Oct 28 Trent Hauck Exon: A Built for Purpose Bioinformatics Database
Nov 4Synnada Nov 4 Mehmet Ozan Kabak Towards “Unified” Compute Engines: Opportunities and Challenges
Nov 11InfluxDB Nov 11 Paul Dix Building InfluxDB 3.0 with the FDAP Stack: Apache Flight, DataFusion, Arrow and Parquet
Nov 18GlareDB Nov 18 Sean Smith Biting the Bullet: Rebuilding GlareDB from the Ground Up
Dec 2OpenDAL Dec 2 Xuanwo Apache OpenDAL: One Layer, All Storage
Dec 9GreptimeDB Dec 9 Ruihang Xia Implement, Integrate and Extend a Query Engine

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