Some people want to forget their past like when they worked at a religious pizza parlor in high school and they saw people shoot up in a motel bathtub. Databases are all about recording the events of the past. But we are interested in the question of what should a database system look like in the future to handle more of our past so we never forget.
The Carnegie Mellon University Database Research Group is exploring this question with the Future Data Systems Seminar Series. The talks in this series will present ideas on modern system architectures and technologies for storing, managing, and accessing databases.
https://db.cs.cmu.edu/seminars/fall2025
Videos in this playlist 12
An Extremely Technical Overview of How Apache Iceberg Planning Actually Works (Russell Spitzer)
Apache Hudi: A Database Layer Over Cloud Storage for Fast Mutations & Queries (Vinoth Chandar)
DuckLake: Learning from Cloud Data Warehouses to Build a Robust “Lakehouse” (Jordan Tigani)
Vortex: LLVM for File Formats (Will Manning)
Where We’re Going, We Don’t Need Rows: Columnar Data Connectivity with Apache Arrow ADBC (Ian Cook)
SingleStore: Storage Metadata for Modern Cloud Databases (Joyo Victor)
Multi-statement Transactions in the Databricks Lakehouse (Ryan Johnson)
Mooncake: Real-Time Apache Iceberg Without Compromise (Cheng Chen)
Firebolt: Why Powering User Facing Applications on Iceberg is Hard (Benjamin Wagner)
Reconstructing History with XTDB (Jeremy Taylor + James Henderson)
From Storage Formats to Open Governance: The Evolution to Apache Polaris (Prashant Singh)
Apache Fluss: A Streaming Storage for Real-Time Lakehouse (Jark Wu)
Advantages and disadvantages
Advantages
Free and complete: every lecture is in the playlist, in order.
Watch at 1.5x, skip what you know, rewatch what you don't.
Taught by Carnegie Mellon University, one of the strongest names in its field.
Completely free.
Self-paced: start any time.
A clear syllabus (12 videos) you can see before you start.
Start watching right away, no sign-up.
Disadvantages
No certificate, deadlines or graded work.
Quality and depth vary: check that the playlist is finished before you start.
No certificate.
No graded assignments or feedback.
Some points apply to every course of this kind; see how we rank.
Free
Free: Watch on YouTube, no account needed.
Certificate: None. Code or take notes along to make it stick.
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