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

Product typeBook

Published inFeb 2024

PublisherPackt

ISBN-139781803246598

Edition2nd Edition

Concepts

Data Engineering

Authors (4):

Dmitry Foshin

Tonya Chernyshova

Dmitry Anoshin

Xenia Ireton

View More author details

Investigating failures – running pipelines in debug mode

When your Azure Data Factory pipeline does not work as expected, it is useful to have tools to examine what went wrong. The debug mode allows us to run a pipeline receiving immediate feedback about its execution.

In this section, we’ll explore how to investigate a pipeline failure using debug mode capabilities. We will cover how to identify errors, understand error messages, and troubleshoot activities to resolve a failed pipeline.

Getting ready

In order to prepare your environment for this recipe, follow these steps:

Set up an Azure SQL server and create Airline, Country, and PipelineLog tables and an InsertLogRecord stored procedure. Use the CreateAirlineTable.sql, CreateCountryTable.sql, and CreateActivityLogsTable.sql scripts to create these objects. These were also required for Chapter 2, Orchestration and Control Flow. If you followed the recipes in that chapter, you should have the...

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Azure Data Factory Cookbook - Second Edition

Published in: Feb 2024Publisher: PacktISBN-13: 9781803246598

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 about 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.
Read more about 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 about 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.
Read more about Xenia Ireton

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

Investigating failures – running pipelines in debug mode

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