You will learn in detail about the data exploration service from Azure and how it integrates with other services to perform end-to-end data analytics. This course will provide you with the necessary skills and confidence as a data scientist.
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.
Neeraj is a Cloud Evangelist and Architect. With an overall IT experience of more than 19 years, working in different domains, Neeraj has been providing consultancy to enterprises of all sizes and helps the enterprises in defining their IT roadmap.
Course Overview Hi everyone. My name is Neeraj Kumar, and welcome to course, Exploring Data in Microsoft Azure using Kusto Query Language and Azure Data Explorer. I'm a cloud evangelist, architect, and a Pluralsight author. Today there is cutthroat competition everywhere, and business owners being persnickety are making huge investments to have granular insights, not just into knowing how their business is performing, but also meet current and future market requirements. The hypothesis to this ever-growing trend leads to a steep increase in demand for the data science professionals, those who not just have the business acumen, but also have deep understanding into how to explore data and perform analytics, which answers critical business questions. In this course, you will learn about how to use Azure Data Explorer to perform data exploration services. Some of the major topics that we will cover in this course include understanding the data exploration services in Azure, build the Azure Data Explorer environment, using the Kusto Query Language to perform the time series analysis, learn the data ingestion, and managing data explorer cluster performance and manage permissions. By the end of this course, you will have all the necessary skills and confidence to take your organization to the next level as a data scientist. I am super excited that you have joined me on this journey to learn data exploration in Azure with the Exploring Data in Microsoft Azure Using Kusto Query Language and Data Explorer course at Pluralsight.