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This is the code repository for Learn Azure Synapse Data Explorer, published by Packt.
A guide to building real-time analytics solutions to unlock log and telemetry data
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 covers the following exciting features:
- 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
If you feel this book is for you, get your copy today!
All of the code is organized into folders.
The code will look like the following:
.alter-merge workload_group ['Engineering Department WG'] ```
{
"RequestQueuingPolicy": {
"IsEnabled": true
}
}```
Following is what you need for this book: 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.
With the following software and hardware list you can run all code files present in the book.
To maximize your learning experience, you should have a basic understanding of concepts around data integration, data retrieval, and building basic data visualizations. Previous experience with SQL, KQL, and Python is not required, but it will help you understand the concepts in the code examples more quickly.
Software required | OS required |
---|---|
Azure Synapse Studio | Windows, Mac OS X, and Linux (Any) |
Azure Portal | Windows, Mac OS X, and Linux (Any) |
Power BI desktop | Windows |
Microsoft Azure App | iOS or Android |
The Azure portal and Azure Synapse Studio are web-based tools that are used to manage, develop, and build solutions for Azure Synapse Data Explorer. Microsoft supports the latest versions of the following browsers: Microsoft Edge, Safari (Mac only), Chrome, and Firefox. To install Power BI Desktop, visit https://learn.microsoft.com/power-bi/fundamentals/desktop-get-the-desktop. To install the Microsoft Azure App, visit http://aka.ms/getazureapp on your mobile device, or look for the Microsoft Azure App in your device’s app store.
We also provide a PDF file that has color images of the screenshots/diagrams used in this book. Click here to download it.
Pericles (Peri) Rocha is a technical product manager, architect, and data scientist with more than 25 years of experience. He has worked with diverse challenges from building highly available database environments to data science projects. He holds an MSc degree in data science from UIUC and is a member of Tau Beta Pi. He currently works at Microsoft as a product manager in the Azure Synapse engineering team. Originally from São Paulo, Brazil, Peri worked in Europe for three years before relocating to the USA in 2016. In his spare time, he enjoys playing music, studying karate, and reading. He lives near Redmond, WA, with his wife, daughter, two dogs, and nine guitars.
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