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

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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

Loading data with Microsoft Fabric Dataflows

Fabric Data Factory has another data transformation tool in its arsenal: Dataflow Gen2 . Readers who have worked with Power BI will be familiar with the concept of Dataflows. While there are many similarities between Data Factory Dataflow Gen2 and Power BI Dataflows (they both allow users to ingest, transform, and combine data from various sources to create reusable and scalable data preparation processes), it’s important to note that as of the time of writing, they are not interchangeable.

If you went through previous chapters of this book, you will remember that ADF also has a concept of Dataflows – a tool to perform common data transformations without writing code. In Fabric, Dataflow Gen2 is considered a Data Factory component, but it has a distinctive interface and allows users to leverage Power Query when designing transformations.

We shall use an instance of Dataflow Gen2 to import data from a data...

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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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Loading data with Microsoft Fabric Dataflows

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