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

Ingest data into Delta Lake using Mapping Data Flows

Delta Lake is a cutting-edge open source storage layer that ensures the atomicity, consistency, isolation, and durability of data within a lake. Essentially, Delta Lake conforms to ACID standards, making it an ideal solution for data management. In addition to offering scalable metadata handling and support for ACID transactions, Delta Lake integrates seamlessly with existing Data Lakes and Apache Spark APIs. If you're interested in exploring Delta Lake, there are several options available to you. Databricks provides notebooks, along with compatible Apache Spark APIs, to create and manage Delta Lakes. On the other hand, Azure Data Factory's Mapping Data Flows allow for ACID-compliant CRUD operations through simplified ETL pipelines using scaled-out Apache Spark clusters. This recipe will walk you through how to get started with Delta Lake using Azure Data Factory's new Delta Lake connector, demonstrating how to create...

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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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Ingest data into Delta Lake using Mapping Data Flows

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