Quarantine Database Tech Talks — Spring 2020

It is a pandemic. Life is a mess. There is no end in sight. Each of us do not know how long it will be until it is our turn to catch the 'rona. Instead of living in fear and huffing bleach, you should focus on what really matters in life: databases.

Given this, the "Quarantine Database Tech Talks" is a on-line seminar series at Carnegie Mellon University with leading developers and researchers of database systems. Each speaker will present the implementation details of their respective systems and examples of the technical challenges that 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. Drifters are especially welcome.

Videos will be posted after each talk: https://www.youtube.com/playlist?list=PLSE8ODhjZXjagqlf1NxuBQwaMkrHXi-iz

Schedule

	Date	Speaker	Talk Title	Video
Apr 20	Apr 20	Mark Raasveldt	DuckDB – The SQLite for Analytics
Apr 27	Apr 27	Chenggang Wu	Anna: a KVS for Any Scale
May 11	May 11	Robert Hodges	Introducing ClickHouse–the fastest data warehouse you’ve never heard of
May 18	May 18	Jinho Jung	APOLLO: Automatic Detection and Diagnosis of Performance Regressions in Database Systems
Jun 1	Jun 1	Arjun Narayan	Building Materialize, a Streaming SQL Database powered by Timely Dataflow
Jun 8	Jun 8	Manuel Rigger	Finding Logic Bugs in Database Management Systems
Jun 15	Jun 15	CK Tan	Deepgreen DB: Greenplum at Speed
Jun 22	Jun 22	Siddon Tang	Testing Cloud-Native Databases with Chaos Mesh
Jul 6	Jul 6	Oscar Batori & Zach Musgrave	Another Relational Database, Why and How
Jul 13	Jul 13	Jim McCollom, Jeff Carpenter	Astra: How we built a Cassandra-as-a-Service
Jul 20	Jul 20	Dhruba Borthakur	Rockset: Realtime Indexing for fast queries on massive semi-structured data
Jul 27	Jul 27	Kyle Kingsbury	Black-box Isolation Checking with Elle
Aug 3	Aug 3	Karthik Ranganathan	YugabyteDB: Bringing Together the Best of Amazon Aurora and Google Spanner
Aug 10	Aug 10	Daniel Gómez Ferro, Yi Xia	Splice Machine – An HTAP DB at Scale
Aug 17	Aug 17	Gavin Mendel-Gleason	TerminusDB: Building a Native Revision Control DB from Scratch
Aug 24	Aug 24	Avi Kivity	ScyllaDB — No-Compromise Performance
Aug 31	Aug 31	Sugu Sougoumarane	PlanetScale: Query Planning for a Sharded System like Vitess
Sep 14	Sep 14	Aaron Elmore	CrocodileDB: Resource Efficient Database Execution	—
Sep 21	Sep 21	Jiaqi Yan	Query Optimization at Snowflake
Sep 28	Sep 28	Rebecca Taft	CockroachDB’s Query Optimizer
Oct 5	Oct 5	Wes McKinney	Apache Arrow Flight: Accelerating Columnar Dataset Transport
Oct 12	Oct 12	Cheng Lian, Maryann Xue	Databricks: A Deep Dive into Spark SQL’s Catalyst Optimizer
Oct 19	Oct 19	Markus Pilman	FoundationDB or: How I Learned to Stop Worrying and Trust the Database
Oct 26	Oct 26	Lyublena Antova	Datometry Hyper-Q: Virtualizing the World’s Enterprise Data Warehouses
Nov 2	Nov 2	Norvald H. Ryeng	Refactoring Query Processing in MySQL
Nov 9	Nov 9	Todd Persen	EraDB: Designing Systems for Cardinality and Dimensionality
Nov 16	Nov 16	Matt Freels	Fauna: Lessons Learned Building a Real World, Calvin-based System
Nov 23	Nov 23	Matthias J. Sax	ksqlDB: A Stream-Relational Database System
Nov 30	Nov 30	Nico Bruno + Cesar Galindo-Legaria	The Cascades Framework for Query Optimization at Microsoft
Dec 14	Dec 14	Xiaoyu Ma	TiDB – On the Long Journey of HTAP