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  • © 2019

Understanding Azure Data Factory

Operationalizing Big Data and Advanced Analytics Solutions

Apress
  • Covers the latest Azure Data Factory version 2
  • Demonstrates building enterprise analytics solutions (architecture plus code) with examples for easy understanding
  • Discusses in detail executing SSIS packages in different scenarios to help developers work in all types of situations

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  • Read on any device
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Softcover Book USD 64.99
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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xi
  2. Introduction to Data Analytics

    • Sudhir Rawat, Abhishek Narain
    Pages 1-12
  3. Introduction to Azure Data Factory

    • Sudhir Rawat, Abhishek Narain
    Pages 13-56
  4. Data Movement

    • Sudhir Rawat, Abhishek Narain
    Pages 57-96
  5. Data Transformation: Part 1

    • Sudhir Rawat, Abhishek Narain
    Pages 97-191
  6. Data Transformation: Part 2

    • Sudhir Rawat, Abhishek Narain
    Pages 193-264
  7. Managing Flow

    • Sudhir Rawat, Abhishek Narain
    Pages 265-309
  8. Security

    • Sudhir Rawat, Abhishek Narain
    Pages 311-334
  9. Executing SSIS Packages

    • Sudhir Rawat, Abhishek Narain
    Pages 335-358
  10. Back Matter

    Pages 359-368

About this book

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 



Who This Book Is For

Data engineers and big data developers. ETL (extract, transform, load) developers also will find the book useful in demonstrating various operations.

Authors and Affiliations

  • Bangalore, India

    Sudhir Rawat

  • Shanghai, China

    Abhishek Narain

About the authors

Sudhir Rawat is a senior software engineer at Microsoft Corporation. He has 15 years of experience in turning data to insights. He is involved in various activities, including development, consulting, troubleshooting, and speaking. He works extensively on the data platform. He has delivered sessions on platforms at Microsoft TechEd India, Microsoft Azure Conference, Great India Developer Summit, SQL Server Annual Summit, Reboot (MVP), and many more. His certifications include MCITP, MCTS, MCT on SQL Server Business Intelligence, MCPS on Implementing Microsoft Azure Infrastructure Solutions, and MS on Designing and Implementing Big Data Analytics Solutions.


Abhishek Narain works as a technical program manager on the Azure Data Governance team at Microsoft. Previously he has worked as a consultant at Microsoft and Infragistics and he has worked on various Azure services and Windows app development projects. He is a public speaker and regularly speaks at various events, including Node Day, Droidcon, Microsoft TechEd, PyCon, the Great India Developer Summit and many others. Before joining Microsoft, he was awarded the Microsoft MVP designation.

 



Bibliographic Information

Buy it now

Buying options

eBook USD 49.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 64.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access