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Scalable Data Analytics with Azure Data Explorer

Scalable Data Analytics with Azure Data Explorer

By : Jason Myerscough
4.8 (8)
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Scalable Data Analytics with Azure Data Explorer

Scalable Data Analytics with Azure Data Explorer

4.8 (8)
By: Jason Myerscough

Overview of this book

Azure Data Explorer (ADX) enables developers and data scientists to make data-driven business decisions. This book will help you rapidly explore and query your data at scale and secure your ADX clusters. The book begins by introducing you to ADX, its architecture, core features, and benefits. You'll learn how to securely deploy ADX instances and navigate through the ADX Web UI, cover data ingestion, and discover how to query and visualize your data using the powerful Kusto Query Language (KQL). Next, you'll get to grips with KQL operators and functions to efficiently query and explore your data, as well as perform time series analysis and search for anomalies and trends in your data. As you progress through the chapters, you'll explore advanced ADX topics, including deploying your ADX instances using Infrastructure as Code (IaC). The book also shows you how to manage your cluster performance and monthly ADX costs by handling cluster scaling and data retention periods. Finally, you'll understand how to secure your ADX environment by restricting access with best practices for improving your KQL query performance. By the end of this Azure book, you'll be able to securely deploy your own ADX instance, ingest data from multiple sources, rapidly query your data, and produce reports with KQL and Power BI.
Table of Contents (18 chapters)
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1
Section 1: Introduction to Azure Data Explorer
5
Section 2: Querying and Visualizing Your Data
11
Section 3: Advanced Azure Data Explorer Topics

Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

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ISBN: 978-1-80020-565-9

  • Explore the necessary considerations for data ingestion and orchestration while building analytical pipelines
  • Understand pipelines and activities in Synapse pipelines and use them to construct end-to-end data-driven workflows
  • Query data using various coding languages on Azure Synapse
  • Focus on Synapse SQL and Synapse Spark
  • Manage and monitor resource utilization and query activity in Azure Synapse
  • Connect Power BI workspaces with Azure Synapse and create or modify reports directly from Synapse Studio
  • Create and manage IP firewall rules in Azure Synapse

Cloud Scale Analytics with Azure Data Services

Patrik Borosch

ISBN: 978-1-80056-293-6

  • Implement data governance with Azure services
  • Use integrated monitoring in the Azure...
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