Hands-On Data Warehousing with Azure Data Factory. ETL techniques to load and transform data from various sources, both on-premises and on cloud Christian Coté, Michelle Gutzait

Leverage the power of Microsoft Azure Data Factory v2 to build hybrid data solutions Key Features Combine the power of Azure Data Factory v2 and SQL Server Integration ServicesDesign and enhance performance and scalability of a modern ETL hybrid solutionInteract with the loaded data in data warehouse and data lake using Power BI Book DescriptionETL is one of the essential techniques in data processing. Given data is everywhere, ETL will always be the vital process to handle data from different sources.Hands-On Data Warehousing with Azure Data Factory starts with the basic concepts of data warehousing and ETL process. You will learn how Azure Data Factory and SSIS can be used to understand the key components of an ETL solution. You will go through different services offered by Azure that can be used by ADF and SSIS, such as Azure Data Lake Analytics, Machine Learning and Databrick's Spark with the help of practical examples. You will explore how to design and implement ETL hybrid solutions using different integration services with a step-by-step approach. Once you get to grips with all this, you will use Power BI to interact with data coming from different sources in order to reveal valuable insights.By the end of this book, you will not only learn how to build your own ETL solutions but also address the key challenges that are faced while building them. What you will learnUnderstand the key components of an ETL solution using Azure Data Factory and Integration ServicesDesign the architecture of a modern ETL hybrid solutionImplement ETL solutions for both on-premises and Azure dataImprove the performance and scalability of your ETL solutionGain thorough knowledge of new capabilities and features added to Azure Data Factory and Integration Services Это и многое другое вы найдете в книге Hands-On Data Warehousing with Azure Data Factory. ETL techniques to load and transform data from various sources, both on-premises and on cloud (Christian Coté, Michelle Gutzait)