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Understanding Azure Data Factory

Operationalizing Big Data and Advanced Analytics Solutions

  • Sudhir Rawat
  • Abhishek Narain

Table of contents

  1. Front Matter
    Pages i-xi
  2. Sudhir Rawat, Abhishek Narain
    Pages 1-12
  3. Sudhir Rawat, Abhishek Narain
    Pages 13-56
  4. Sudhir Rawat, Abhishek Narain
    Pages 57-96
  5. Sudhir Rawat, Abhishek Narain
    Pages 97-191
  6. Sudhir Rawat, Abhishek Narain
    Pages 193-264
  7. Sudhir Rawat, Abhishek Narain
    Pages 265-309
  8. Sudhir Rawat, Abhishek Narain
    Pages 311-334
  9. Sudhir Rawat, Abhishek Narain
    Pages 335-358
  10. Back Matter
    Pages 359-368

About this book

Introduction

Improve your analytics and data platform to solve major challenges, including operationalizing big data and advanced analytics workloads on Azure. You will learn how to monitor complex pipelines, set alerts, and extend your organization's custom monitoring requirements.

This book starts with an overview of the Azure Data Factory as a hybrid ETL/ELT orchestration service on Azure. The book then dives into data movement and the connectivity capability of Azure Data Factory. You will learn about the support for hybrid data integration from disparate sources such as on-premise, cloud, or from SaaS applications. Detailed guidance is provided on how to transform data and on control flow. Demonstration of operationalizing the pipelines and ETL with SSIS is included. You will know how to leverage Azure Data Factory to run existing SSIS packages. As you advance through the book, you will wrap up by learning how to create a single pane for end-to-end monitoring, which is a key skill in building advanced analytics and big data pipelines.

What You'll Learn:
  • Understand data integration on Azure cloud
  • Build and operationalize an ADF pipeline
  • Modernize a data warehouse
  • Be aware of performance and security considerations while moving data 

Keywords

Azure Data Factory ETL on Azure ELT on Azure Data Integration on Cloud SSIS Operationalizing big data Information management on in Azure Advanced Analytics Solutions

Authors and affiliations

  • Sudhir Rawat
    • 1
  • Abhishek Narain
    • 2
  1. 1.BangaloreIndia
  2. 2.ShanghaiChina

Bibliographic information

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