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1
Introduction
2
What is going on?
3
Apache Arrow
4
Implementation timeline for a new Database system
5
LLVM Compiler Infrastructure
6
LLVM-like Infrastructure for Databases
7
DataFusion Project Growth
8
DataFusion Milestones: Time to Mature
9
Initial Logical Plan
10
Let's Optimize!
11
The Initial Execution Plan
12
DataFusion Features
13
SQL Support
14
Extensibility
15
VegaFusion
16
Cube.js / Cube Store
17
Coralogix
18
blaze-rs
19
Ballista Distributed Compute
20
Future Directions
Description:
Discover how Rust, Apache Arrow, and the Data Fusion Query Engine are revolutionizing modern data stacks in this 29-minute video from Databricks. Explore the implementation timeline for new database systems, LLVM-like infrastructure for databases, and DataFusion's growth and milestones. Learn about DataFusion's features, including SQL support and extensibility, and examine real-world applications like VegaFusion and Cube.js. Gain insights into future directions for distributed computing with Ballista and understand how these technologies can supercharge your data analytical tools.

DataFusion and Apache Arrow: Supercharging Data Analytics with a Rust-Based Query Engine

Databricks
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