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Azure Data Factory Cookbook

You're reading from   Azure Data Factory Cookbook Build ETL, Hybrid ETL, and ELT pipelines using ADF, Synapse Analytics, Fabric and Databricks

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Product type Paperback
Published in Feb 2024
Publisher Packt
ISBN-13 9781803246598
Length 532 pages
Edition 2nd Edition
Tools
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Authors (4):
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Tonya Chernyshova Tonya Chernyshova
Author Profile Icon Tonya Chernyshova
Tonya Chernyshova
Xenia Ireton Xenia Ireton
Author Profile Icon Xenia Ireton
Xenia Ireton
Dmitry Foshin Dmitry Foshin
Author Profile Icon Dmitry Foshin
Dmitry Foshin
Dmitry Anoshin Dmitry Anoshin
Author Profile Icon Dmitry Anoshin
Dmitry Anoshin
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Toc

Table of Contents (15) Chapters Close

Preface 1. Getting Started with ADF 2. Orchestration and Control Flow FREE CHAPTER 3. Setting Up Synapse Analytics 4. Working with Data Lake and Spark Pools 5. Working with Big Data and Databricks 6. Data Migration – Azure Data Factory and Other Cloud Services 7. Extending Azure Data Factory with Logic Apps and Azure Functions 8. Microsoft Fabric and Power BI, Azure ML, and Cognitive Services 9. Managing Deployment Processes with Azure DevOps 10. Monitoring and Troubleshooting Data Pipelines 11. Working with Azure Data Explorer 12. The Best Practices of Working with ADF 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...

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