Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Koalas: Scaling Pandas APIs on Apache Spark - Performance and Comparison with Dask

Databricks via YouTube

Overview

Explore the capabilities and performance of Koalas, an open-source project providing pandas APIs on top of Apache Spark, in this 24-minute talk from Databricks. Learn how Koalas bridges the gap between pandas' data science functionality and Apache Spark's scalability for big data. Compare Koalas with other pandas-scaling libraries, particularly Dask, through benchmarking and performance analysis. Discover the internal framework, execution time improvements, influence of Catalyst, and code generation techniques. Gain insights into recent updates and main changes in Koalas, equipping you with knowledge to effectively handle large-scale data manipulation and analysis.

Syllabus

Introduction
What is Koalas
Internal Frame
Benchmark
Results
Execution Time
Influence of Catalyst
Code Generation
Benchmark Results
Whats New
Main Changes

Taught by

Databricks

Reviews

Start your review of Koalas: Scaling Pandas APIs on Apache Spark - Performance and Comparison with Dask

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.