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May 10, 2023

Graphs for Data Science

Presented by Bruno Gonçalves

Using Graph and Network Algorithms to Understand Real-World Datasets Real-world datasets to show how graphs really work Intuitive explanations of algorithms Practical application of algorithms to large datasets Graphs are deceptively ...

April 6, 2023

Data Science with Big Datasets Using Dask, Ray, and Other Best-of-Breed Tools

Presented by Adam Breindel

Effective data at scale with a new generation of open tools As Apache Spark matures and moves towards legacy status, data scientists have new opportunities and challenges in dealing with large-scale ...

April 7, 14 & 21, 2023

Data Engineering Fundamentals in 3 Weeks

Presented by Thomas Nield

Managing the lifecycle of data projects Course outcomes Learn to discern the roles of data engineering and understand how they impact others in an organization Understand the data engineering lifecycle Explore ...

April 6, 2023

Data Lakehouse Fundamentals

Presented by Janani Ravi

Configuring and optimizing Delta Lake tables for data science and business intelligence A data lakehouse is a new, open architecture that combines the best elements of the data warehouse and data ...

April 7, 2023

Smarter Shell Scripting for Data Science

Presented by James Powell, Cameron Riddell

Rising to the Challenge of Data Science Explore the underlying design of Shell to write powerful scripts with greater ease Compare older Shell tools with their modern counterparts; learn best-use cases ...

May 10, 2023

Infrastructure & Ops Superstream: Observability

Presented by Sam Newman

Gain a deeper understanding of system performance Observability—a measure of how well internal states of a system can be inferred from its outputs—is crucial for engineering, managing, and improving complex business-critical ...