Book Image

Learn Azure Synapse Data Explorer

By : Pericles (Peri) Rocha
Book Image

Learn Azure Synapse Data Explorer

By: Pericles (Peri) Rocha

Overview of this book

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.
Table of Contents (19 chapters)
1
Part 1 Introduction to Azure Synapse Data Explorer
6
Part 2 Working with Data
12
Part 3 Managing Azure Synapse Data Explorer

Technical requirements

Some of the architectures listed in this chapter contain Azure services that are outside the scope of this book, such as Azure Event Hubs, Azure Machine Learning, and others. It would be impossible to explain in detail how each Azure service that is mentioned here works, as well as the technical details of the service’s implementation. You should pick the example architectures that are of interest to you and research each component in depth, including the cost implications, before you build a solution architecture. This book provides only a quick overview of the role of such services in the architectures we propose.

Some of the solutions presented here were adapted from existing ones in the Azure documentation found at https://docs.microsoft.com/azure/architecture. Rest assured that they have not been copied from this source: instead, this chapter includes core scenarios that are commonly seen in the industry and adapts these solution architectures...