Businesses around the world are making huge investments in data analytics to be able to make critical decisions for steering growth and remain competitive. Data science is the ability to capture and process raw data, and then analyze, visualize, and communicate the processed information as insights to the stakeholders that brings in the value by enabling businesses in making critical decisions. In this course, Exploring Data in Microsoft Azure Using Kusto Query Language and Azure Data Explorer, you will use Azure Data Explorer to perform data exploration services. First, you will familiarize yourself with data exploration service in Azure. Next, you will learn how to build the Azure Data Explorer environment from Azure Portal as well as using PowerShell and CLI. Then, you will discover how to use the Kusto Query Language to perform time series analysis, followed by how data ingestion is performed using EventHubs and EventGrids. Finally, you will explore how to manage Data Explorer cluster performance and database permissions. When you’re finished with this course, you will have all the necessary skills and confidence to take your organization to the next level as a data scientist.
Author Name: Neeraj Kumar
Author Description:
With an IT experience spanning over two decades, Neeraj is a Cloud Enthusiast, Enterprise Architect, and Author, currently working as Technology Head – Cloud Operations, MBU at TATA Consultancy Services, managing high-end digital transformation and cloud operation programs using solutions built on AIOps, Data Science, Cognitive Services, Power Platform, M365, Azure, etc. to elevate businesses by maximizing their RoI.

Table of Contents

• Course Overview
  1min
• Azure Data Explorer (ADX) Overview
  25mins
• Building the ADX Environment
  29mins
• Using the Kusto Query Language (KQL)
  50mins
• Data Ingestion for ADX
  29mins
• Managing Azure Data Explorer
  29mins