Book Image

Azure Data Factory Cookbook - Second Edition

By : Dmitry Foshin, Tonya Chernyshova, Dmitry Anoshin, Xenia Ireton
4 (1)
Book Image

Azure Data Factory Cookbook - Second Edition

4 (1)
By: Dmitry Foshin, Tonya Chernyshova, Dmitry Anoshin, Xenia Ireton

Overview of this book

This new edition of the Azure Data Factory book, 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. There are updated and new recipes throughout the book based on developments happening in Azure Synapse, Deployment with Azure DevOps, and Azure Purview. The current edition also runs you through Fabric Data Factory, Data Explorer, and some industry-grade best practices with specific chapters on each. You’ll learn how to branch and chain activities, create custom activities, and schedule pipelines, as well as discover the benefits of cloud data warehousing, Azure Synapse Analytics, and Azure Data Lake Gen2 Storage. With practical recipes, you’ll learn how to actively engage with analytical tools from Azure Data Services and leverage your on-premises infrastructure with cloud-native tools to get relevant business insights. You'll familiarize yourself with the common errors that you may encounter while working with ADF and find out the solutions to them. You’ll also understand error messages and resolve problems in connectors and data flows with the debugging capabilities of ADF. By the end of this book, you’ll be able to use ADF with its latest advancements as the main ETL and orchestration tool for your data warehouse projects.
Table of Contents (15 chapters)
13
Other Books You May Enjoy
14
Index

Introduction to ADX

ADX is one of the many managed services (SaaS) offered by Azure. It represents a highly effective, fully managed platform for big data analytics, empowering users with the ability to analyze extensive data volumes in close-to-real-time scenarios. Equipped with a comprehensive suite of tools, ADX facilitates end-to-end solutions for data ingestion, querying, visualization, and management.

Since ADX is a cloud product, we don’t need to spend much time deep-diving into the ADX architecture. The following diagram shows the high-level architecture of the product:

Figure 11.1: ADX solution architecture

The ADX platform simplifies the process of extracting critical insights, identifying patterns and trends, and building forecasting models by analyzing structured, semi-structured, and unstructured data across time series and using machine learning. As a secure, scalable, robust, and ready-for-enterprise service, ADX is well suited for log analytics...