Data Exploration with Azure Data Explorer and Kusto Query Language
Links, session details, and speaker bio:
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Session Details:
Azure Data Explorer (ADX) Clusters are designed from the ground up for interrogating massive amounts of data – very quickly.
Kusto Query Language (KQL) is the language that used to interact with ADX and dive deep into the data.
You may have previously heard of KQL if you have ever used Log Analytics as part of Azure Monitor.
This session will give a primer on both ADX and KQL and explore both similarities and differences with other data products such as SQL Server and T-SQL.
Come along to this session and see both ADX and KQL in action with a demo filled session.
This session will cover:
KQL History, Value Proposition and Use Cases
Free resources to get you started
Capabilities and Resources of ADX
Anatomy of a KQL Query
Advanced features
Speaker Bio:
Martin Catherall is a Data Architect working on Microsoft Data Platform technologies. He is currently based in Brisbane, Australia.
Martin’s career has expanded from the world of SQL Server Administration and T-SQL development to encompass data engineering and architecture on the Microsoft Azure Platform.
He has over extensive experience in the data industry and has been a recipient of the Microsoft Most Valuable Professional Award since 2014
When he is not engaged in data related activities, he can be found exploring the Queensland landscape (he’s recently escaped Melbourne), learning about Minecraft or Super Mario from his kids and learning the guitar – despite being tone deaf!
Host/s:
Mark Broadbent.
Mikael Wedham.
Originally recorded on 20th April 2022.
Video Production: Mark Broadbent 6th June 2022.
00:00 Introduction
03:41 What is Azure Data Explorer
12:00 Architecture
16:00 Azure Data Explorer output plug-in for Telegraf
17:22 Getting Started
19:45 Demo
50:33 Questions