ETL with Azure Cookbook
Practical recipes for building modern ETL solutions to load and transform data from any source
Published on 23. September 2024
446 pages
978-1-80020-285-6 (ISBN)
Description
Explore the latest Azure ETL techniques both on-premises and in the cloud using Azure services such as SQL Server Integration Services (SSIS), Azure Data Factory, and Azure Databricks
Key Features
Understand the key components of an ETL solution using Azure Integration Services
Discover the common and not-so-common challenges faced while creating modern and scalable ETL solutions
Program and extend your packages to develop efficient data integration and data transformation solutions
Book DescriptionETL is one of the most common and tedious procedures for moving and processing data from one database to another. With the help of this book, you will be able to speed up the process by designing effective ETL solutions using the Azure services available for handling and transforming any data to suit your requirements. With this cookbook, you'll become well versed in all the features of SQL Server Integration Services (SSIS) to perform data migration and ETL tasks that integrate with Azure. You'll learn how to transform data in Azure and understand how legacy systems perform ETL on-premises using SSIS. Later chapters will get you up to speed with connecting and retrieving data from SQL Server 2019 Big Data Clusters, and even show you how to extend and customize the SSIS toolbox using custom-developed tasks and transforms. This ETL book also contains practical recipes for moving and transforming data with Azure services, such as Data Factory and Azure Databricks, and lets you explore various options for migrating SSIS packages to Azure. Toward the end, you'll find out how to profile data in the cloud and automate service creation with Business Intelligence Markup Language (BIML). By the end of this book, you'll have developed the skills you need to create and automate ETL solutions on-premises as well as in Azure.What you will learn
Explore ETL and how it is different from ELT
Move and transform various data sources with Azure ETL and ELT services
Use SSIS 2019 with Azure HDInsight clusters
Discover how to query SQL Server 2019 Big Data Clusters hosted in Azure
Migrate SSIS solutions to Azure and solve key challenges associated with it
Understand why data profiling is crucial and how to implement it in Azure Databricks
Get to grips with BIML and learn how it applies to SSIS and Azure Data Factory solutions
Who this book is forThis book is for data warehouse architects, ETL developers, or anyone who wants to build scalable ETL applications in Azure. Those looking to extend their existing on-premise ETL applications to use big data and a variety of Azure services or others interested in migrating existing on-premise solutions to the Azure cloud platform will also find the book useful. Familiarity with SQL Server services is necessary to get the most out of this book.
Key Features
Understand the key components of an ETL solution using Azure Integration Services
Discover the common and not-so-common challenges faced while creating modern and scalable ETL solutions
Program and extend your packages to develop efficient data integration and data transformation solutions
Book DescriptionETL is one of the most common and tedious procedures for moving and processing data from one database to another. With the help of this book, you will be able to speed up the process by designing effective ETL solutions using the Azure services available for handling and transforming any data to suit your requirements. With this cookbook, you'll become well versed in all the features of SQL Server Integration Services (SSIS) to perform data migration and ETL tasks that integrate with Azure. You'll learn how to transform data in Azure and understand how legacy systems perform ETL on-premises using SSIS. Later chapters will get you up to speed with connecting and retrieving data from SQL Server 2019 Big Data Clusters, and even show you how to extend and customize the SSIS toolbox using custom-developed tasks and transforms. This ETL book also contains practical recipes for moving and transforming data with Azure services, such as Data Factory and Azure Databricks, and lets you explore various options for migrating SSIS packages to Azure. Toward the end, you'll find out how to profile data in the cloud and automate service creation with Business Intelligence Markup Language (BIML). By the end of this book, you'll have developed the skills you need to create and automate ETL solutions on-premises as well as in Azure.What you will learn
Explore ETL and how it is different from ELT
Move and transform various data sources with Azure ETL and ELT services
Use SSIS 2019 with Azure HDInsight clusters
Discover how to query SQL Server 2019 Big Data Clusters hosted in Azure
Migrate SSIS solutions to Azure and solve key challenges associated with it
Understand why data profiling is crucial and how to implement it in Azure Databricks
Get to grips with BIML and learn how it applies to SSIS and Azure Data Factory solutions
Who this book is forThis book is for data warehouse architects, ETL developers, or anyone who wants to build scalable ETL applications in Azure. Those looking to extend their existing on-premise ETL applications to use big data and a variety of Azure services or others interested in migrating existing on-premise solutions to the Azure cloud platform will also find the book useful. Familiarity with SQL Server services is necessary to get the most out of this book.
More details
Edition
Digital original
Language
English
Place of publication
Birmingham
United Kingdom
Target group
Professional and scholarly
US School Grade: College Graduate Student
Edition type
Digital original
File size
29,76 MB
ISBN-13
978-1-80020-285-6 (9781800202856)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Christian Cote | Matija Lah | Madina Saitakhmetova
ETL with Azure Cookbook
Practical recipes for building modern ETL solutions to load and transform data from any source
Book
09/2020
Packt Publishing
€57.10
Shipment within 3-4 weeks
Persons
Cote Christian :
Christian Cote is an IT professional with more than 15 years of experience working in a data warehouse, Big Data, and business intelligence projects. Christian developed expertise in data warehousing and data lakes over the years and designed many ETL/BI processes using a range of tools on multiple platforms. He's been presenting at several conferences and code camps. He currently co-leads the SQL Server PASS chapter. He is also a Microsoft Data Platform Most Valuable Professional (MVP).Lah Matija :
Matija Lah has more than 18 years of experience working with Microsoft SQL Server, mostly from architecting data-centric solutions in the legal domain. His contributions to the SQL Server community have led to him being awarded the MVP Professional award (Data Platform) between 2007 and 2017/2018. He spends most of his time on projects involving advanced information management and natural language processing, but often finds time to speak at events related to Microsoft SQL Server where he loves to share his experience with the SQL Server platform.Saitakhmetova Madina :
Madina Saitakhmetova is a developer specializing in BI. She has been in IT for 15 years, working first with Microsoft SQL, .Net Framework, and then Microsoft BI, BIML and Azure. Her adventure with Microsoft BI began with Analysis Services and SSIS, but she is leaning towards ETL development, both on premises and in the cloud, in later years. Finding patterns, automating processes and making BI team work more efficient are challenges that drive her. During past few years, BIML has become an important part of her work, increasing efficiency and quality
Christian Cote is an IT professional with more than 15 years of experience working in a data warehouse, Big Data, and business intelligence projects. Christian developed expertise in data warehousing and data lakes over the years and designed many ETL/BI processes using a range of tools on multiple platforms. He's been presenting at several conferences and code camps. He currently co-leads the SQL Server PASS chapter. He is also a Microsoft Data Platform Most Valuable Professional (MVP).Lah Matija :
Matija Lah has more than 18 years of experience working with Microsoft SQL Server, mostly from architecting data-centric solutions in the legal domain. His contributions to the SQL Server community have led to him being awarded the MVP Professional award (Data Platform) between 2007 and 2017/2018. He spends most of his time on projects involving advanced information management and natural language processing, but often finds time to speak at events related to Microsoft SQL Server where he loves to share his experience with the SQL Server platform.Saitakhmetova Madina :
Madina Saitakhmetova is a developer specializing in BI. She has been in IT for 15 years, working first with Microsoft SQL, .Net Framework, and then Microsoft BI, BIML and Azure. Her adventure with Microsoft BI began with Analysis Services and SSIS, but she is leaning towards ETL development, both on premises and in the cloud, in later years. Finding patterns, automating processes and making BI team work more efficient are challenges that drive her. During past few years, BIML has become an important part of her work, increasing efficiency and quality
Content
Table of Contents
Getting Started with Azure and SSIS 2019
Introducing ETL
Creating and Using SQL Server 2019 Big Data Clusters
Azure Data Integration
Extending SSIS with Custom Tasks and Transformations
Azure Data Factory
Azure Databricks
SSIS cloud Migration Strategies
Profiling data in Azure
Manage SSIS and Azure Data Factory with BIML
Getting Started with Azure and SSIS 2019
Introducing ETL
Creating and Using SQL Server 2019 Big Data Clusters
Azure Data Integration
Extending SSIS with Custom Tasks and Transformations
Azure Data Factory
Azure Databricks
SSIS cloud Migration Strategies
Profiling data in Azure
Manage SSIS and Azure Data Factory with BIML
