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Azure Data Factory Cookbook

You're reading from  Azure Data Factory Cookbook

Product type Book
Published in Dec 2020
Publisher Packt
ISBN-13 9781800565296
Pages 382 pages
Edition 1st Edition
Languages
Concepts
Authors (4):
Dmitry Anoshin Dmitry Anoshin
Profile icon Dmitry Anoshin
LinkedIn
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.
See other products by Dmitry Anoshin
Dmitry Foshin Dmitry Foshin
Profile icon Dmitry Foshin
LinkedIn
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.
See other products by Dmitry Foshin
Roman Storchak Roman Storchak
Profile icon Roman Storchak
LinkedIn
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.
See other products by Roman Storchak
Xenia Ireton Xenia Ireton
Profile icon Xenia Ireton
LinkedIn
Xenia Ireton is a Senior Software Engineer at Microsoft. She has extensive knowledge in building distributed services, data pipelines and data warehouses.
See other products by Xenia Ireton
View More author details

Table of Contents (12) Chapters

Preface 1. Chapter 1: Getting Started with ADF 2. Chapter 2: Orchestration and Control Flow 3. Chapter 3: Setting Up a Cloud Data Warehouse 4. Chapter 4: Working with Azure Data Lake 5. Chapter 5: Working with Big Data – HDInsight and Databricks 6. Chapter 6: Integration with MS SSIS 7. Chapter 7: Data Migration – Azure Data Factory and Other Cloud Services 8. Chapter 8: Working with Azure Services Integration 9. Chapter 9: Managing Deployment Processes with Azure DevOps 10. Chapter 10: Monitoring and Troubleshooting Data Pipelines 11. Other Books You May Enjoy

Chapter 10: Monitoring and Troubleshooting Data Pipelines

Azure Data Factory is an integration tool that helps engineers transfer data between multiple data stores, both within and outside of the Microsoft Azure ecosystem. Data integration is rarely straightforward. In this chapter, we will introduce tools to help you manage and monitor your Data Factory pipelines. You will learn where and how to find more information about what went wrong when a pipeline failed, how to debug a failed run, how to set up alerts that notify you when there is a problem, and how to identify problems with your integration runtimes.

The following is a list of the recipes in this chapter:

  • Monitoring pipeline runs and integration runtimes
  • Investigating failures – running pipelines in debug mode
  • Rerunning activities
  • Configuring alerts for your Data Factory runs
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Authors (4)

Left arrow icon
Profile icon Dmitry Anoshin
LinkedIn
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
Profile icon Dmitry Foshin
LinkedIn
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
Profile icon Roman Storchak
LinkedIn
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.
See other products by Roman Storchak
Profile icon Xenia Ireton
LinkedIn
Xenia Ireton is a Senior Software Engineer at Microsoft. She has extensive knowledge in building distributed services, data pipelines and data warehouses.
See other products by Xenia Ireton
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