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You're reading from  Azure Data Factory Cookbook

Product typeBook
Published inDec 2020
PublisherPackt
ISBN-139781800565296
Edition1st Edition
Tools
Azure Data Factory
Concepts
Data Streaming
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Authors (4):
Dmitry Anoshin
Dmitry Anoshin
author image
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 about Dmitry Anoshin

Dmitry Foshin
Dmitry Foshin
author image
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 about Dmitry Foshin

Roman Storchak
Roman Storchak
author image
Roman Storchak

Roman Storchak is a PhD, and is a chief data officer whose main interest lies in building data-driven cultures through making analytics easy. He has led teams that have built ETL-heavy products in AdTech and retail and often uses Azure Stack, PowerBI, and Data Factory.
Read more about Roman Storchak

Xenia Ireton
Xenia Ireton
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Xenia Ireton

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

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What this book covers

Chapter 1, Getting Started with ADF, will briefly show you the Azure data platform. In this chapter, you will learn about the ADF interface and options as well as common use cases. You will perform hands-on exercises in order to find ADF in the Azure portal and create your first job.

Chapter 2, Orchestration and Control Flow, will introduce you to the building blocks of the data processing in Azure Data Factory. The chapter contains hands-on exercises which show you how to set up linked services and datasets for your data sources, use various types of activities, design data-processing workflows, and create triggers for the data transfers.

Chapter 3, Setting up a Cloud Data Warehouse, covers key features and benefits of cloud data warehousing and Azure Synapse Analytics. You will learn how to connect and configure Azure Synapse Analytics, load data, build transformation processes, and operate data flows.

Chapter 4, Working with Azure Data Lake, will go through the features of Azure Data Lake Storage Gen2. This is multi-modal cloud storage that is frequently used for big data analytics. We will load and manage the datasets that we will use for analytics in the next chapter.

Chapter 5, Working with Big Data – HDInsight and Databricks, is where we will actively engage with analytical tools from the Azure data services. We will start with munging data with Azure Databricks, then train some models on big data, and analyze them to draw business insights. Also, we will go through Stream Analytics.

Chapter 6, Integration with MS SSIS, covers using the Azure data platform and ADF on-premises. This chapter will help you leverage your on-premises infrastructure together with cloud-native tools to get relevant business insights.

Chapter 7, Data Migration – Azure Data Factory and Other Cloud Services, explains how to use Azure Data factory to transfer data between Azure and other cloud providers, such as AWS or Google Cloud, using ADF built-in connectors. We also show how to integrate a provider not currently supported by a built-in ADF connector, using Dropbox as an example.

Chapter 8, Working with Azure Services Integration, will cover how to do integrations of the most commonly used Azure services into ADF. You will also learn how Azure services can be useful in designing ETL pipelines.

Chapter 9, Managing Deployment Processes with Azure DevOps, will cover the key features of Azure DevOps. You will learn how to build CI/CD processes and continuous monitoring with Microsoft Azure. You will create a platform for application deployment and integrate it with ADF.

Chapter 10, Monitoring and Troubleshooting Data Pipelines, will teach readers how to use the Azure Data Factory Monitor interface to evaluate the progress of your data transfers, how to understand error messages and set up alerts for the pipelines. This chapter contains hands-on recipes highlighting the debugging capabilities of ADF.

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Azure Data Factory Cookbook
Published in: Dec 2020Publisher: PacktISBN-13: 9781800565296
© 2020 Packt Publishing Limited All Rights Reserved

Authors (4)

author image
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 about Dmitry Anoshin

author image
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 about Dmitry Foshin

author image
Roman Storchak

Roman Storchak is a PhD, and is a chief data officer whose main interest lies in building data-driven cultures through making analytics easy. He has led teams that have built ETL-heavy products in AdTech and retail and often uses Azure Stack, PowerBI, and Data Factory.
Read more about Roman Storchak

author image
Xenia Ireton

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

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