Archived Events

Archived Events

Nov 18

2024

Nov 18 2024
[Building Blocks] Biting the Bullet: Rebuilding GlareDB from the Ground Up (Sean Smith)
Speaker:
Sean Smith
System:
GlareDB
Video:
YouTube

GlareDB is a database system enabling querying across a variety of data sources, including Snowflake, Postgres, and more. Building on top of DataFusion let us get to an early product very quickly. But not everything is sunshine and roses. In this talk, we'll explore some of the limitations we hit with DataFusion, and how we plan to address those in... Read More

Nov 14

2024

Nov 14 2024
Engineering Your Own Path: From University to Universal Impact (Camille Fournier)
Speaker:
Camille Fournier

SCS Distinguished Alumni / Bruce Nelson Distinguished Lecture Read More

Nov 13

2024

Nov 13 2024
Evolution of the Storage Engine for Spanner, an Exabyte-scale Database System
Speaker:
David Bacon
System:
Google Spanner

I'll describe the design of Spanner's new storage engine, Ressi, which replaced untyped sorted string tables (inherited from Bigtable) with a strongly typed SQL-native representation. Live migration of 6 exabytes of data and multiple billion-user products to the new engine posed unique challenges. Sound methodology from experimental computer science was the key to its success. The simplicity and power of... Read More

Nov 11

2024

Nov 11 2024
[Building Blocks] Building InfluxDB 3.0 with the FDAP Stack: Apache Flight, DataFusion, Arrow and Parquet (Paul Dix)
Speaker:
Paul Dix
System:
InfluxDB
Video:
YouTube

This talk is part of the Database Building Blocks Seminar Series. Zoom Link: https://cmu.zoom.us/j/95283696582 (Passcode 787637) Read More

Nov 11

2024

Nov 11 2024
AI Vector Search in the Oracle Database
Speaker:
Shasank Chavan
System:
Oracle

AI Vector Search in Oracle Database is a new, transformative way to intelligently, efficiently, and accurately search business data by using AI techniques to search data by semantics, or meaning. With the inclusion of a new VECTOR data type, new approximate search indexes, and new SQL operators and extensions, enterprise companies can quickly and easily leverage AI Vector Search to... Read More

Nov 6

2024

Nov 6 2024
Snowflake, and why the Cloud reshaped the analytics industry
Speaker:
Dan Sotolongo
System:
Snowflake

Snowflake was the first data warehouse designed from scratch to take advantage of Cloud economics. We'll talk about what that means, why it was such a big deal, and how its design differs from the approaches taken by similar systems. Stay until the end for some bonus content on how Snowflake is bringing stream processing into the DBMS. Zoom link:... Read More

Nov 4

2024

Nov 4 2024
[Building Blocks] Towards “Unified” Compute Engines: Opportunities and Challenges (Mehmet Ozan Kabak)
Speaker:
Mehmet Ozan Kabak
System:
Synnada
Video:
YouTube

The architecture diagram of a typical data and AI infrastructure setup often features a primary compute engine (e.g., Apache Spark) alongside an array of supplementary tools for observability, AI integration, streaming support, memory management, interactivity, and more. While this modular architecture can be effective, it also introduces challenges around performance bottlenecks, maintenance costs, and integration complexity. In this talk, we... Read More

Oct 28

2024

Oct 28 2024
[Building Blocks] Exon: A Built for Purpose Bioinformatics Database (Trent Hauck)
Speaker:
Trent Hauck
System:
Exon
Video:
YouTube

Without having to implement every component of a database engine, it’s now feasible to build databases that can lean into the idiosyncrasies of specific domains to deliver a better user experience. Exon is one such databases. Thanks to DataFusion, Exon can deliver a complete database, but also have capabilities bridge the gap between bioinformatics and database systems. In this talk... Read More

Oct 21

2024

Oct 21 2024
[Building Blocks] Accelerating Data and AI with Spice.ai Open-Source Software (Luke Kim)
Speaker:
Luke Kim
System:
Spice.ai
Video:
YouTube

Spice.ai OSS is an open-source, portable runtime designed to simplify building data and AI applications. It’s built on industry leading technologies like Apache DataFusion, Apache Arrow, DuckDB and SQLite. In this talk, we tell the story of building neurofeedback systems, to operating DuckDB at cloud-scale, to building Spice.ai OSS for the intersection of high-performance data query and ML-inference. We introduce... Read More

Oct 7

2024

Oct 7 2024
[Building Blocks] ParadeDB – Postgres for Search and Analytics (Philippe Noël)
Speaker:
Philippe Noël
System:
ParadeDB
Video:
YouTube

ParadeDB is Postgres for search and analytics. It is an alternative to Elasticsearch built on Postgres. It offers state-of-the-art full-text and vector search capabilities, as well as fast aggregations inside Postgres. ParadeDB is built in Rust via Postgres extensions on top of database building blocks like Tantivy, DuckDB, and Apache DataFusion. It is compatible with every officially supported PGDG Postgres... Read More