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Scalable Data Analytics with Azure Data Explorer

You're reading from Scalable Data Analytics with Azure Data Explorer

Product type Book

Published in Mar 2022

Publisher Packt

ISBN-13 9781801078542

Pages 364 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Jason Myerscough

Table of Contents (18) Chapters

Preface

Section 1: Introduction to Azure Data Explorer

Chapter 1: Introducing Azure Data Explorer

Chapter 2: Building Your Azure Data Explorer Environment

Chapter 3: Exploring the Azure Data Explorer UI

Section 2: Querying and Visualizing Your Data

Chapter 4: Ingesting Data in Azure Data Explorer

Chapter 5: Introducing the Kusto Query Language

Chapter 6: Introducing Time Series Analysis

Chapter 7: Identifying Patterns, Anomalies, and Trends in your Data

Chapter 8: Data Visualization with Azure Data Explorer and Power BI

Section 3: Advanced Azure Data Explorer Topics

Chapter 9: Monitoring and Troubleshooting Azure Data Explorer

Chapter 10: Azure Data Explorer Security

Chapter 11: Performance Tuning in Azure Data Explorer

Chapter 12: Cost Management in Azure Data Explorer

Chapter 13: Assessment

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Section 1: Introduction to Azure Data Explorer

This section introduces you to Azure Data Explorer (ADX) by discussing the core features and benefits of ADX, such as low-latency data ingestion, the ADX architecture, and how to quickly deploy your instance of ADX via the Azure portal, PowerShell, and ARM templates. The final chapter of this section presents an overview of the ADX web UI, where you will spend most of your time analyzing your data. By the end of this section, you will understand the core features of ADX, be able to deploy your own ADX instances, and be comfortable navigating and using the ADX web UI. This section sets the foundations for Section 2, where you will begin to ingest and analyze the data.

This section consists of the following chapters:

Chapter 1, Introducing Azure Data Explorer
Chapter 2, Building Your Azure Data Explorer Environment
Chapter 3, Exploring the Azure Data Explorer UI

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Scalable Data Analytics with Azure Data Explorer

Published in: Mar 2022 Publisher: Packt ISBN-13: 9781801078542

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Authors (1)

Jason Myerscough

Jason Myerscough is a director of Site Reliability Engineering and cloud architect at Nuance Communications. He has been working with Azure daily since 2015. He has migrated his company's flagship product to Azure and designed the environment to be secure and scalable across 16 different Azure regions by applying cloud best practices and governance. He is currently certified as an Azure Administrator (AZ-103) and an Azure DevOps Expert (AZ-400). He holds a first-class bachelor's degree with honors in software engineering and a first class master’s degree in computing.

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