The Complete Guide to Modern Azure Data Engineering

Price: $37.49
(as of May 21,2023 08:05:37 UTC – Details)

Are you looking for ways to build efficient and scalable batch and real-time data ingestion pipelines, DevOps continuous integration and deployment pipelines, and advanced analytics solutions in Azure Cloud Platform? Look no further than “The Definitive Guide to Azure Data Engineering”.

This book provides a thorough understanding of how to design and implement robust data engineering solutions using various Azure Data Platform components such as Data Factory, Databricks, Synapse Analytics, Snowflake, Azure SQL database, Stream Analytics, Cosmos database, and Data Lake Storage Gen2. With scenario-based learning, this book empowers data engineers and architects to follow digital innovation best practices while working through their organization’s projects, challenges, and needs.

You will learn how to engineer your use of these Azure Data Platform components for optimal performance and scalability, and design self-service capabilities to maintain and drive the pipelines and your workloads. Reading this book will give you the knowledge and confidence to build successful data engineering solutions in Azure, making it the perfect reference guide for current and aspiring cloud and data professionals.

What You Will Learn:

• Build dynamic, parameterized ELT data ingestion orchestration pipelines in Azure Data Factory
• Create data ingestion pipelines that integrate control tables for self-service ELT
• Implement a reusable logging framework that can be applied to multiple pipelines
• Integrate Azure Data Factory pipelines with a variety of Azure data sources and tools
• Transform data with Mapping Data Flows in Azure Data Factory
• Apply Azure DevOps continuous integration and deployment practices to your Azure Data Factory pipelines and development SQL databases
• Design and implement real-time streaming and advanced analytics solutions using Databricks, Stream Analytics, and Synapse Analytics
• Get started with a variety of Azure data services through hands-on examples

Who This Book Is For:
Data engineers and data architects who aspire to learn the architectural and engineering best practices around ELT and ETL on the Azure Data Platform. It’s perfect for those who are creating complex Azure data engineering projects and are searching for patterns of success. It’s also ideal for aspiring cloud and data professionals involved in data engineering, data governance, continuous integration and deployment of DevOps practices, and advanced analytics who want a full understanding of the many different tools and technologies that Azure Data Platform provides.

ASIN : B09C384WYB
Publisher: Apress (August 6, 2021)

Publication date: August 6, 2021
Language: English
File size: 78451 KB

Text-to-Speech: Enabled
Screen Reader: Supported
Enhanced typesetting: Enabled
X-Ray: Not Enabled
Word Wise: Not Enabled
Sticky notes: On Kindle Scribe
Print length: 729 pages