March 2022
Intermediate to advanced
364 pages
7h 26m
English
Overview
Scalable Data Analytics with Azure Data Explorer is your comprehensive guide to mastering Azure Data Explorer (ADX). By diving into this book, you'll learn how to securely deploy, manage, query, and visualize data, leveraging the powerful Kusto Query Language (KQL) and best practices in data management. This book provides valuable insights for working efficiently with large-scale data on Azure.
What this Book will help me do
- Deploy and secure Azure Data Explorer instances effectively, ensuring efficient data ingestion.
- Master the Kusto Query Language (KQL) to perform advanced data queries and analysis tasks.
- Visualize data insights seamlessly using the Azure Data Explorer platform and Power BI.
- Optimize cluster performance and understand cost management strategies for Azure Data Explorer.
- Perform time series analysis, trend identification, and anomaly detection on large data volumes.
Author(s)
Jason Myerscough is a seasoned data scientist and cloud computing expert with years of experience optimizing data systems for scalable performance. He has guided organizations worldwide in leveraging Azure for modern data analytics. Jason's approachable writing style, combined with his deep technical knowledge, makes complex topics accessible and engaging for readers.
Who is it for?
This book is ideal for data analysts, data engineers, and data scientists responsible for handling and analyzing large datasets on the Azure platform. It also caters to SRE and DevOps engineers tasked with deploying, maintaining, and securing Azure infrastructure. Readers should have a basic understanding of data querying and familiarity with Azure services to make the most of this book.
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