Azure is the leading platform for many companies, and to manage your databases and other infrastructure you need to have insights into what is happening.
You need to be able to query the Azure platform, to not only understand your infrastructure but also to leverage monitoring and analytics to react to operational changes occurring in it.
In this episode of Data Exposed: MVP Edition with Anna Hoffman, Hamish Watson will introduce you to the Kusto Query Language (KQL) which will allow you to query a variety of Azure resources. The session will also show how machine learning and time-series analytics can help advance your insights into your Azure services.
About Hamish Watson: Hamish Watson is a Microsoft Data Platform MVP and VMware Expert with a passion for efficient database and application deployment using DevOps methodologies. He has 20+ years of IT experience in managing and deploying large-scale databases on SQL Server technologies. He has been managing SQL Server since SQL Server 2000 and pragmatic approaches to delivering business value to clients is his career passion. Educating and helping others learn is a driver for Hamish and he is a Director-At-Large on the PASS Board, international speaker, and a repeat guest lecturer at a local university.
About MVPs: Microsoft Most Valuable Professionals, or MVPs, are technology experts who passionately share their knowledge with the community. They are always on the "bleeding edge" and have an unstoppable urge to get their hands on new, exciting technologies. They have very deep knowledge of Microsoft products and services, while also being able to bring together diverse platforms, products and solutions, to solve real-world problems. MVPs make up a global community of over 4,000 technical experts and community leaders across 90 countries/regions and are driven by their passion, community spirit, and quest for knowledge. Above all and in addition to their amazing technical abilities, MVPs are always willing to help others - that's what sets them apart. Learn more: https://aka.ms/mvpprogram