Large volumes of data are generated daily from applications, websites, IoT devices, and other free-text, semi-structured data sources. Azure Synapse Data Explorer helps you collect, store, and analyze such data, and work with other analytical engines, such as Apache Spark, to develop advanced data science projects and maximize the value you extract from data.
This book offers a comprehensive view of Azure Synapse Data Explorer, exploring not only the core scenarios of Data Explorer but also how it integrates within Azure Synapse. From data ingestion to data visualization and advanced analytics, you’ll learn to take an end-to-end approach to maximize the value of unstructured data and drive powerful insights using data science capabilities. With real-world usage scenarios, you’ll discover how to identify key projects where Azure Synapse Data Explorer can help you achieve your business goals. Throughout the chapters, you'll also find out how to manage big data as part of a software as a service (SaaS) platform, as well as tune, secure, and serve data to end users.
By the end of this book, you’ll have mastered the big data life cycle and you'll be able to implement advanced analytical scenarios from raw telemetry and log data.
publication date
2023-02-17
what you will learn
Integrate Data Explorer pools with all other Azure Synapse services
Create Data Explorer pools with Azure Synapse Studio and Azure Portal
Ingest, analyze, and serve data to users using Azure Synapse pipelines
Integrate Power BI and visualize data with Synapse Studio
Configure Azure Machine Learning integration in Azure Synapse
Manage cost and troubleshoot Data Explorer pools in Synapse Analytics
Secure Synapse workspaces and grant access to Data Explorer pools
key features
Augment advanced analytics projects with your IoT and application data * Expand your existing Azure Synapse environments with unstructured data * Build industry-level projects on integration, experimentation, and dashboarding with Azure Synapse
approach
Readers will be taken through an end-to-end approach to working with big data, from data ingestion, through visualization, finishing with advanced analytics using real-world data science applications. By walking through real-world usage scenarios, the reader will learn when to apply the concepts covered in the book, and how to manage, secure, and serve data to end users.
audience
If you are a data engineer, data analyst, or business analyst working with unstructured data and looking to learn how to maximize the value of such data, this book is for you. If you already have experience working with Azure Synapse and want to incorporate unstructured data into your data science project, you’ll also find plenty of useful information in this book. To maximize your learning experience, familiarity with data and performing simple queries using SQL or KQL is recommended. Basic knowledge of Python will help you get more from the examples.
short description
Learn Azure Synapse Data Explorer covers advanced analytics and data science scenarios with the use of free-text and semi-structured data from an application log and device telemetry. The book takes an end-to-end approach to work with data ingestion and data science experiments through dashboarding.
subtitle
A guide to building real-time analytics solutions to unlock log and telemetry data
keywords
Azure Synapse, Azure Synapse Data Explorer, Synapse Data Explorer, Azure Data Engineer, Azure Machine Learning, Data Explorer pool, Azure Synapse Studio, Azure portal, Azure Synapse pipelines, Streaming ingestion, Data Ingestion, Log data, Telemetry data, Application log monitoring, Application Log analytics, IoT Analytics, Kusto Query Language, KQL, SQL Tables, Spark
Product ISBN
9781803233956
