Preface

Large volumes of data are generated daily from applications, websites, internet of things devices, and other free-text, semi-structured data sources. Azure Synapse Data Explorer helps you collect, store, and analyze such data, and enables you to work with other analytical engines, such as Apache Spark, to develop advanced data science projects and maximize the value you get from your log and telemetry data.

This book offers a comprehensive view of Azure Synapse Data Explorer, covering not only the core scenarios of Data Explorer but also how it integrates into the whole picture within Azure Synapse. From data ingestion, through data visualization and advanced analytics, you will learn an end-to-end approach to maximizing the value of unstructured data and driving powerful insights using data science capabilities. With real-world usage scenarios, you’ll learn how to identify key projects where Azure Synapse Data Explorer can help you achieve your business goals. You will also learn how to manage big data as part of a platform as a service offering, tune, secure, and serve data at scale to end users.

By the end of this book, you will have mastered the big data life cycle and be able to implement advanced analytical scenarios from raw telemetry and log data.