You're reading from Data Engineering with Scala and Spark

Product typeBook

Published inJan 2024

PublisherPackt

ISBN-139781804612583

Edition1st Edition

Concepts

Data Engineering

Authors (3):

Eric Tome

Rupam Bhattacharjee

David Radford

View More author details

Leveraging Azure Data Factory

Azure Data Factory (ADF) evolved from the on-premises version called Data Management Gateway. Recognizing the shift to cloud computing, Microsoft revamped and launched ADF to serve the growing demand for cloud data solutions. ADF is built on the philosophy of “code-free” data integration. It emphasizes visual tools, allowing users to build, deploy, and manage data transformation processes without needing to write extensive code. In this section, we are going to look at the capabilities offered by ADF and see how it can simplify building pipeline orchestration.

Primary components of ADF

ADF provides an ensemble of features designed to handle the vast demands of data integration in a cloud-first world. A robust understanding of these components is crucial to leverage ADF fully. Let’s discuss them in the following sections.

Datasets and dataflows

Datasets and dataflows are the fundamental building blocks of ADF that are used...

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Data Engineering with Scala and Spark

Published in: Jan 2024Publisher: PacktISBN-13: 9781804612583

Authors (3)

Eric Tome

Eric Tome has over 25 years of experience working with data. He has contributed to and led teams that ingested, cleansed, standardized, and prepared data used by business intelligence, data science, and operations teams. He has a background in mathematics and currently works as a senior solutions architect at Databricks, helping customers solve their data and AI challenges.
Read more about Eric Tome

Rupam Bhattacharjee

Rupam Bhattacharjee works as a lead data engineer at IBM. He has architected and developed data pipelines, processing massive structured and unstructured data using Spark and Scala for on-premises Hadoop and K8s clusters on the public cloud. He has a degree in electrical engineering.
Read more about Rupam Bhattacharjee

David Radford

David Radford has worked in big data for over 10 years, with a focus on cloud technologies. He led consulting teams for several years, completing a migration from legacy systems to modern data stacks. He holds a master's degree in computer science and works as a senior solutions architect at Databricks.
Read more about David Radford

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You're reading from Data Engineering with Scala and Spark

Leveraging Azure Data Factory

Primary components of ADF

Datasets and dataflows

Unlock this book and the full library FREE for 7 days

Authors (3)

Et al.

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