The Agenda

We get that data pros are under pressure to analyze data to get insights from it. However, batch style analytics - where we receive results hours or even days after the fact - is no longer good enough for decision makers. We need to execute near-real-time analytics, and we must run it against a wide breadth of data: structured, semi-structured, IoT data etc., etc. But how do we achieve this and what tools are best to make this happen in your data environment?

The answer is Azure Data Explorer (ADX). Azure Data Explorer is a fast, fully managed data analytics service for real-time analysis specifically designed for large volumes of data streaming. From applications, websites, IoT devices, ADX can .. . . .
In this full day training session, we look in detail at Azure Data Explorer, what it is, and how we can use it to blazingly fast query billions of rows in near real-time .

Topics we look at:
* Overview of ADX
* ADX Architecture
* Ingestion into ADX from Kafka, EventHubs, etc.
* Overview of Kusto Query Language (KQL)
* Advanced KQL queries; ML, Timeseries, etc.

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