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Azure for Architects

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

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Product type Paperback
Published in Oct 2017
Publisher Packt
ISBN-13 9781788397391
Length 358 pages
Edition 1st Edition
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Author (1):
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Ritesh Modi Ritesh Modi
Author Profile Icon Ritesh Modi
Ritesh Modi
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Table of Contents (13) Chapters Close

Preface 1. Getting Started 2. Azure Design Patterns FREE CHAPTER 3. Designing High Availability 4. Implementing Scalability 5. Cloud Security 6. Designing IoT Solutions 7. Designing and Implementing Data Solutions 8. Designing and Implementing Serverless Solutions 9. Designing Policies, Locks, and Tags 10. DevOps on Azure 11. Cost Management 12. Monitoring and Auditing

Azure Data Lake store

Azure Data Lake store provides storage for big data. It provides petabyte scale of storage and is highly optimized for storing data that has high volume, velocity, and comprises multiple types and format. Data of various format and size can be co-stored within the same Data Lake.

Traditional storage, such as filesystems, relational databases, and other storage are general purpose storage accounts and are not suitable for storage of big data that is accessed for analytics purposes. The repository should be optimized for faster and efficient querying and should be able to store data in raw as well as processed format. Azure Data Lake has been created specifically for this purpose.

Azure Data Lake is accessible by a variety of tools and services including HDInsight Hadoop, Azure machine learning, stream analytics, data factory, event hubs, and more.

Data comes...

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