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Azure for Architects

You're reading from   Azure for Architects Create secure, scalable, high-availability applications on the cloud

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781839215865
Length 698 pages
Edition 3rd Edition
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Authors (3):
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Jack Lee Jack Lee
Author Profile Icon Jack Lee
Jack Lee
Ritesh Modi Ritesh Modi
Author Profile Icon Ritesh Modi
Ritesh Modi
Rithin Skaria Rithin Skaria
Author Profile Icon Rithin Skaria
Rithin Skaria
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Toc

Table of Contents (21) Chapters Close

Preface 1. Getting started with Azure 2. Azure solution availability, scalability, and monitoring FREE CHAPTER 3. Design pattern – Networks, storage, messaging, and events 4. Automating architecture on Azure 5. Designing policies, locks, and tags for Azure deployments 6. Cost management for Azure solutions 7. Azure OLTP solutions 8. Architecting secure applications on Azure 9. Azure Big Data solutions 10. Serverless in Azure – Working with Azure Functions 11. Azure solutions using Azure Logic Apps, Event Grid, and Functions 12. Azure Big Data eventing solutions 13. Integrating Azure DevOps 14. Architecting Azure Kubernetes solutions 15. Cross-subscription deployments using ARM templates 16. ARM template modular design and implementation 17. Designing IoT solutions 18. Azure Synapse Analytics for architects 19. Architecting intelligent solutions Index

Tools to help migrate to Azure Synapse Analytics

Now that we have covered the planning and preparation and an overview of the migration process, let's have a look at the tools that you can use for migrating your legacy data warehouse to Azure Synapse Analytics. The tools that we will discuss are:

  • ADF
  • Azure Data Warehouse Migration Utility
  • Microsoft Services for Physical Data Transfer
  • Microsoft Services for Data Ingestion

Let's get started.

ADF

ADF is a fully managed, pay-as-you-use, hybrid data integration service for cloud-scale ETL processing. It offers the following features:

  • Processes and analyzes data in memory and in parallel to scale and maximize throughput
  • Creates data warehouse migration pipelines that orchestrate and automate data movement, data transformation, and data loading into Azure Synapse Analytics
  • Can also be used to modernize your data warehouse by ingesting data into Azure Data Lake, processing and analyzing...
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