0:00 - Introduction and needs
4:25 - ADX overview
7:20 - When to use ADX
13:36 - Details of ADX cluster
16:19 - Data management
18:28 - Engine
27:42 - Load balancers
28:30 - Cold storage
32:50 - Networking options
37:49 - Databases
41:04 - Ingestion
50:00 - External tables
52:40 - Getting started and free options
56:34 - Summary
57:21 - Be a detective
https://raw.githubusercontent.com/johnthebrit/RandomStuff/master/Whiteboards/ADX%20Overview.png
Azure Data Explorer is a fully managed, high-performance, big data analytics platform that makes it easy to analyze high volumes of data in near real time. The Azure Data Explorer toolbox gives you an end-to-end solution for data ingestion, query, visualization, and management.
https://learn.microsoft.com/en-gb/azure/data-explorer/data-explorer-overview
Calculate your estimated hourly or monthly costs for using Azure
https://azure.microsoft.com/en-gb/pricing/calculator/?service=data-explorer
Data ingestion is the process by which data is added to a table and is made available for query in Azure Data Explorer. For all ingestion methods, other than ingest-from-query, the data must be in one of the supported formats. The following table lists and describes the formats that Azure Data Explorer supports for data ingestion.
https://learn.microsoft.com/en-gb/azure/data-explorer/ingestion-supported-formats