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Azure for Architects

You're reading from   Azure for Architects Implementing cloud design, DevOps, containers, IoT, and serverless solutions on your public cloud

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781789614503
Length 536 pages
Edition 2nd Edition
Tools
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Authors (2):
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Ritesh Modi Ritesh Modi
Author Profile Icon Ritesh Modi
Ritesh Modi
Daniel Andres Pelaez Lopez Daniel Andres Pelaez Lopez
Author Profile Icon Daniel Andres Pelaez Lopez
Daniel Andres Pelaez Lopez
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Toc

Table of Contents (17) Chapters Close

Preface 1. Getting Started 2. Azure Solution Availability and Scalability FREE CHAPTER 3. Security and Monitoring 4. Cross-Subscription Deployments Using ARM Templates 5. ARM Templates - Modular Design and Implementation 6. Designing and Implementing Serverless Solutions 7. Azure Integration Solutions 8. Cost Management 9. Designing Policies, Locks, and Tags 10. Azure Solutions Using Azure Container Services 11. Azure DevOps 12. Azure OLTP Solutions Using Azure SQL Sharding, Pools, and Hybrid 13. Azure Big Data Solutions Using Azure Data Lake Storage and Data Factory 14. Azure Stream Analytics and Event Hubs 15. Designing IoT Solutions 16. Other Books You May Enjoy

A primer on Data Factory

Data Factory is a fully managed, highly available, highly scalable, and easy-to-use tool for creating integration solutions and implementing ETL phases. Data Factory helps create new pipelines in a drag and drop fashion using a user interface without writing any code; however, it still provides features to write code in your preferred language.

There are a few important concepts to learn about before using the Data Factory service, which we will be looking into in the following sections:

  • Activities: Activities are individual tasks that enable the execution and processing of logic within a Data Factory pipeline. There are multiple types of activities. There are activities related to data movement, data transformation, and control activities. Each activity has a policy through which it can decide the retry mechanism and retry interval.
  • Pipelines: Pipelines...
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