Best practices on Building a Big Data Analytics Solution

From theory to implementation - follow the steps of implementing an end-to-end analytics solution illustrated with some best practices and examples in Azure Data Lake.

During this full training day we will share the architecture patterns, tooling, learnings and tips and tricks for building such services on Azure Data Lake. We take you through some anti-patterns and best practices on data loading and organization, give you hands-on time and the ability to develop some of your own U-SQL scripts to process your data and discuss the pros and cons of files versus tables.

Pre-requisites
Have a core understanding of SQL (T-SQL, U-SQL etc) and some initial programming understanding.
Laptop Required:Yes

  • Spec: Enough to install Visual Studio 2015 or 2017 Community Edition and ADL Tooling

Speakers

Wednesday 21 February 2018