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Serverless Design Patterns and Best Practices

You're reading from   Serverless Design Patterns and Best Practices Build, secure, and deploy enterprise ready serverless applications with AWS to improve developer productivity

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788620642
Length 260 pages
Edition 1st Edition
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Author (1):
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Brian Zambrano Brian Zambrano
Author Profile Icon Brian Zambrano
Brian Zambrano
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Table of Contents (12) Chapters Close

Preface 1. Introduction FREE CHAPTER 2. A Three-Tier Web Application Using REST 3. A Three-Tier Web Application Pattern with GraphQL 4. Integrating Legacy APIs with the Proxy Pattern 5. Scaling Out with the Fan-Out Pattern 6. Asynchronous Processing with the Messaging Pattern 7. Data Processing Using the Lambda Pattern 8. The MapReduce Pattern 9. Deployment and CI/CD Patterns 10. Error Handling and Best Practices 11. Other Books You May Enjoy

Exploring alternate implementations


While you may find great success implementing your serverless MapReduce system, there are alternatives that still fall under the serverless umbrella or leverage managed services, which should give you a high degree of confidence. I'll talk through some of the other systems or techniques you should consider when working on your own data analysis.

AWS Athena

AWS Athena is a relatively new service from AWS. Of course, this is specific to AWS, but other cloud providers may offer comparable services. Athena gives you the ability to write SQL queries to analyze data stored on S3. Before you can analyze your data with SQL, you must create a virtual database with associated tables across your structured or semi-structured S3 files. You may create these tables manually or with another AWS service called Glue.

I won't go into all of the details of setting up a new Athena database or tables but will show you the results and ease of use after you've set those up. In...

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