Technical requirements
The code examples for this chapter can be found in the Chapter04
folder of the repo: https://github.com/PacktPublishing/Scalable-Data-Analytics-with-Azure-Data-Explorer.git. The Chapter04
directory contains two directories, templates/
, which contains our ARM templates, and datasets/
, which contains our datasets that we will be ingesting.
One of the challenges when it comes to writing about data analytics is to have interesting datasets that are large enough to demonstrate the features of ADX and KQL. In this chapter, we will use the English Premier League's results to demonstrate how to ingest data in CSV and JSON format. A copy of the data is included in our repository and the original dataset can be found at https://datahub.io/sports-data/english-premier-league. The dataset provides Premier League results for the last 10 years.
Note
The infrastructure that we will deploy here will be reused later in the book. Feel free to either preserve the resources...