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Azure Data Factory Cookbook - Second Edition

You're reading from Azure Data Factory Cookbook - Second Edition

Product type Book

Published in Feb 2024

Publisher Packt

ISBN-13 9781803246598

Pages 532 pages

Edition 2nd Edition

Languages

Concepts

Data Engineering

Authors (4):

Dmitry Foshin

Tonya Chernyshova

Dmitry Anoshin

Xenia Ireton

View More author details

Table of Contents (15) Chapters

Preface

Getting Started with ADF

Orchestration and Control Flow

Setting Up Synapse Analytics

Working with Data Lake and Spark Pools

Working with Big Data and Databricks

Data Migration – Azure Data Factory and Other Cloud Services

Extending Azure Data Factory with Logic Apps and Azure Functions

Microsoft Fabric and Power BI, Azure ML, and Cognitive Services

Managing Deployment Processes with Azure DevOps

Monitoring and Troubleshooting Data Pipelines

Working with Azure Data Explorer

The Best Practices of Working with ADF

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Index

Loading data to Azure Synapse Analytics using Azure Data Studio

Azure Data Studio is a cross-platform database tool for data professionals who use on-premises and cloud data platforms on Windows, macOS, and Linux. Azure Data Studio offers a modern editor experience with IntelliSense, code snippets, source control integration, and an integrated terminal. It’s engineered with the data platform user in mind, with the built-in charting of query result sets and customizable dashboards.

In this recipe, we are going to configure Azure Data Studio and load data into Azure Synapse Analytics from an external resource.

Getting ready

You need to have Azure Data Studio installed on your computer.

You need to upload the dataset from this book’s GitHub repository to the container. Then, you need to generate shared access signatures to connect blobs via Azure Synapse Analytics.

You can download the dataset from the book’s GitHub repository, or you can use...

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Authors (4)

Dmitry Foshin

Dmitry Foshin is a business intelligence team leader, whose main goals are delivering business insights to the management team through data engineering, analytics, and visualization. He has led and executed complex full-stack BI solutions (from ETL processes to building DWH and reporting) using Azure technologies, Data Lake, Data Factory, Data Bricks, MS Office 365, PowerBI, and Tableau. He has also successfully launched numerous data analytics projects – both on-premises and cloud – that help achieve corporate goals in international FMCG companies, banking, and manufacturing industries.

Read more

See other products by Dmitry Foshin

Tonya Chernyshova

Tonya Chernyshova is an experienced Data Engineer with over 10 years in the field, including time at Amazon. Specializing in Data Modeling, Automation, Cloud Computing (AWS and Azure), and Data Visualization, she has a strong track record of delivering scalable, maintainable data products. Her expertise drives data-driven insights and business growth, showcasing her proficiency in leveraging cloud technologies to enhance data capabilities.

See other products by Tonya Chernyshova

Dmitry Anoshin

Dmitry Anoshin is a data-centric technologist and a recognized expert in building and implementing big data and analytics solutions. He has a successful track record when it comes to implementing business and digital intelligence projects in numerous industries, including retail, finance, marketing, and e-commerce. Dmitry possesses in-depth knowledge of digital/business intelligence, ETL, data warehousing, and big data technologies. He has extensive experience in the data integration process and is proficient in using various data warehousing methodologies. Dmitry has constantly exceeded project expectations when he has worked in the financial, machine tool, and retail industries. He has completed a number of multinational full BI/DI solution life cycle implementation projects. With expertise in data modeling, Dmitry also has a background and business experience in multiple relation databases, OLAP systems, and NoSQL databases. He is also an active speaker at data conferences and helps people to adopt cloud analytics.

Read more

See other products by Dmitry Anoshin

Xenia Ireton

Xenia Ireton is a Senior Software Engineer at Microsoft. She has extensive knowledge in building distributed services, data pipelines and data warehouses.

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