Architecting Large-Scale Data Systems with Dask

This class explores the best ways to leverage Dask within enterprise data architectures.

Most enterprises make heavy use of elements core to Dask (e.g., data manipulation and machine learning); activities external to Dask (e.g., using SQL for reporting and data extraction); and activities orthogonal to Dask but still critical to the success of the overall system (e.g., data storage). Moreover, staff and skillsets are often different across these areas.

We explore options and patterns for getting the best out of both Dask and non-Dask elements of the system.

Learn Ideas and Gain Skills

Duration: half-day or full day

Prerequisites

Topics

Introduction

Integrating Data

Data Processing, ETL, and Feature Engineering

Data Output

Additional Goals, Challenges, and Opportunities