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

Summary

Azure Synapse Data Explorer brings all the innovation that was built into the standalone service Azure Data Explorer into Azure Synapse. By using Data Explorer pools in Azure Synapse, you can correlate data from several different sources, residing on different analytical engines, to get a 360-degree view of all your data and unlock insights.

In this chapter, you learned about the lifecycle of data, the TDSP, and how Data Explorer fits into the analytics landscape. We explored the key components of Azure Synapse and Azure Synapse Data Explorer, and how Data Explorer pools benefit from integration with other Azure Synapse services such as Apache Spark.

Next, you learned about the infrastructure of Data Explorer pools and how they deliver massive scalability. We looked at the service architecture and how Data Explorer pools manage data in a distributed cluster. We also explored the mission-critical features of Azure Synapse Data Explorer that give the trust enterprises need to adopt the solution.

Finally, we discussed what makes Azure Synapse Data Explorer unique when compared to the standalone service Azure Data Explorer, and how to determine whether Azure Synapse Data Explorer is the right solution for you.

In the next chapter, we will explore how to create an Azure Synapse workspace and a Data Explorer pool.