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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 FREE CHAPTER 2. Azure Design Patterns 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 analytics

Azure Data Lake analytics is one of the flagship services from Azure to execute analytics jobs. Azure Data Lake stores took care of storing big data in an optimized way. However, for an end-to-end scenario, the data in storage is useful if it is read by a service and that service can perform analytics on it and gain meaningful insights. The analytics service is compute intensive in nature because of deep processing of a large quantity of data. To setup an environment for such a service involves provisioning and configuring virtual machines, tune them for performance and maintain them. Azure Data Lake analytics provides platform as a service capability for running analytics jobs. It means users no more need to think about provisioning and configuring infrastructure and hardware, rather, they can concentrate on writing their analytics job and focus on the...

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