Data Exploration with Azure Data Explorer and Kusto Query Language

Links, session details, and speaker bio: Sign up to our Meetup group https://www.meetup.com/hybrid-virtual... Join our LinkedIn group   / 12487.  . Follow us on Twitter   / hybridvug​   ...and of course don't forget to subscribe to our channel, like the video, and hit the bell! It really helps us in our mission to produce free content for the masses. 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