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Python Essentials for AWS Cloud Developers

You're reading from   Python Essentials for AWS Cloud Developers Run and deploy cloud-based Python applications using AWS

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Product type Paperback
Published in May 2023
Publisher Packt
ISBN-13 9781804610060
Length 224 pages
Edition 1st Edition
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Author (1):
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Serkan Sakinmaz Serkan Sakinmaz
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Serkan Sakinmaz
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Toc

Table of Contents (18) Chapters Close

Preface 1. Part 1: Python Installation and the Cloud
2. Chapter 1: Using Python on AWS FREE CHAPTER 3. Chapter 2: Creating an AWS Account 4. Part 2: A Deep Dive into AWS with Python
5. Chapter 3: Cloud Computing with Lambda 6. Chapter 4: Running Python Applications on EC2 7. Chapter 5: Running Python Applications with PyCharm 8. Chapter 6: Deploying Python Applications on Elastic Beanstalk 9. Part 3: Useful AWS Services to Implement Python
10. Chapter 7: Monitoring Applications via CloudWatch 11. Chapter 8: Database Operations with RDS 12. Chapter 9: Creating an API in AWS 13. Chapter 10: Using Python with NoSQL (DynamoDB) 14. Chapter 11: Using Python with Glue 15. Chapter 12: Reference Project on AWS 16. Index 17. Other Books You May Enjoy

Creating an AWS Glue service

In this section, we are going to create an AWS Glue service. Let’s follow the instructions step by step:

  1. Type AWS Glue in the AWS Management Console search bar and click the AWS Glue result that appears:

Figure 11.12 – Console search

  1. Click Jobs on the left-hand side:

Figure 11.13 – Glue job

  1. In the Create job section, select Visual with a source and target. This will create a visual interface and predefined script in order to convert from a CSV to a JSON file:

Figure 11.14 – Create job

  1. After clicking Create on the right side of the panel, you will see the visual editor:

Figure 11.15 – Visual editor

  1. Click S3 bucket under Data source - S3 bucket and you will see the data source details on the right side. It consists of some details on how to parse the source data...
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