A Guide to Community Tools for Data Engineering on Azure

This session looks at some of the great tools produced by the data community that can help speed up building a data engineering project on Azure, as well as providing great examples of how to build reliable components and simple ways to solve common data engineering problems.

This session looks at some of the great tools produced by the data community that can help speed up building a data engineering project on Azure. These can really help people new and experienced with data engineering in Azure, as they provide great examples of how to build solid, reliable components, and show simple ways to solve common problems. You hopefully learn of a project or tool that could save you some time, or be inspired to contribute to an existing tool to help the community grow.

Speaker

Niall has been building data solutions on the Microsoft platform for 12 years. In the past few years Niall has been focused on helping clients with data engineering in Azure. Niall is active in the data community, helping run the Bristol user group.

Niall Langley's Sessions

Better ETL with Managed Airflow in ADF

Ask the Expert - Group B (Thu 10:10 to 11:00)

Ask the Expert - Group B (Fri - 10:10 to 11:00)

Ask the Expert - Group B (Sat: 16:00 to 16:50)

Introduction to Databricks Delta Live Tables

A Guide to Community Tools for Data Engineering on Azure

An Introduction to Azure for Data Professionals

Building a Modern Data Platform Using a Test Driven Approach

Metadata Driven Pipelines with Python and Databricks

Slowly Changing Dimensions made Easy with Durable Keys

SQL Server Encryption for the Layman