Reader small image

You're reading from  Azure Data Factory Cookbook

Product typeBook
Published inDec 2020
PublisherPackt
ISBN-139781800565296
Edition1st Edition
Right arrow
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
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

View More author details
Right arrow

Triggering your data processing with Logic Apps

In this recipe, you will learn how to create an Azure logic app and trigger your ADF pipeline with it. One of the biggest use cases when you might want to do this is when you want to use an event-based trigger. Event-based triggers exist inside ADF; however, currently they have some limitations. For example, the only events you can do are When a blob is created or When a blob is deleted. But what if you want an event such as When a new record is created in your SQL database or you are dealing with SharePoint lists? The easiest way to build such an event-based trigger is via Azure Logic Apps. Azure Logic Apps opens up a world of possibilities for executing your ADF pipelines using built-in integration.

Getting ready

Before we start, please ensure that you have an Azure license and are familiar with the basics of Azure resources, such as the Azure portal, creating and deleting Azure resources, and creating pipelines in ADF. You can...

lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
Azure Data Factory Cookbook
Published in: Dec 2020Publisher: PacktISBN-13: 9781800565296

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