Azure data factory cookbook : a data engineer's guide to building and managing ETL and ELT pipelines with data integration / Dmitry Foshin, Tonya Chernyshova, Dmitry Anoshin, Xenia Hertzenberg.

Format:

Book

Author/Creator:

Foshin, Dmitry, author.

Chernyshova, Tonya, author.

Anoshin, Dmitry, author.

Hertzenberg, Xenia, author.

Series:

Expert insight.

Expert insight

Language:

English

Subjects (All):

Data warehousing.

Microsoft Azure (Computing platform).

Physical Description:

1 online resource (532 pages) : illustrations

Edition:

Second edition.

Place of Publication:

Birmingham, UK : Packt Publishing Ltd., 2024.

Biography/History:

Foshin Dmitry: 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. Chernyshova Tonya: 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. Anoshin Dmitry: 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. Ireton Xenia: Xenia Ireton is a Senior Software Engineer at Microsoft. She has extensive knowledge in building distributed services, data pipelines and data warehouses.

Summary:

This new edition of the Azure Data Factory Cookbook, fully updated to reflect ADS V2, will help you get up and running by showing you how to create and execute your first job in ADF. You’ll learn how to branch and chain activities, create custom activities, and schedule pipelines, as well as discovering the benefits of Cloud Data Warehousing, Azure Synapse Analytics, and Azure Data Lake Storage Gen2. With practical recipes, you’ll learn how to actively engage with analytical tools from Azure's data services and leverage your on-premises infrastructure with cloud-native tools to get relevant business insights. As you advance, you’ll be able to integrate the most commonly used Azure services into ADF and understand how Azure services can be useful in designing ETL pipelines. You'll familiarize yourself with the common errors that you may encounter while working with ADF and find out how to use the Azure portal to monitor pipelines. You’ll also understand error messages and resolve problems in Connectors and Data flows with the debugging capabilities of ADF. Two new chapters covering Azure Data Explorer and key best practices have been added, along with new recipes throughout. By the end of this book, you’ll be able to use ADF as the main ETL and orchestration tool for your Data Warehouse or Data Platform projects.

Contents:

Azure Data Factory Cookbook: Build ETL, Hybrid ETL, and ELT pipelines using ADF, Synapse Analytics, Fabric and Databricks

Notes:

OCLC-licensed vendor bibliographic record.

Description based on publisher supplied metadata and other sources.

ISBN:

9781803241821

1803241829

OCLC:

1424952550