AWS Glue Development Endpoints
AWS Glue Development Endpoints provide an interactive environment to develop, debug, and test your ETL code before deploying it as a Glue ETL job. These endpoints act as a Spark environment, allowing you to interactively develop and test your code using tools like Jupyter notebooks or a Zeppelin notebook connected to your AWS Glue environment. By using development endpoints, you can ensure your ETL code is functional and efficient before deploying it as a serverless job, resulting in a faster and more reliable ETL process.
AWS Glue Development Endpoints Guide
AWS Glue Development Endpoints is an essential AWS feature that caters to big data processing and data analysis needs.
What it is: AWS Glue Development Endpoints is a persistent resource enabling you to interactively develop, debug, and refine AWS Glue ETL (extract, transform, and load) scripts. It is important for collecting, storing, and processing data.
Why it is important: These endpoints offer a server-less development environment to create, run and test ETL jobs, ensuring code efficiency and correctness before deploying it in production. It boosts big data transformation tasks and streamlines the process, consequently reducing costs and time taken.
How it works: When you create a development endpoint, you specify an IAM role, security groups, and an SSH public key. Once the endpoint is ready, you can connect to it using a notebooks or SSH client whereupon you can interactively author the scripts.
Exam Tips: Answering Questions on AWS Glue Development Endpoints:
1. Understand the primary use cases and functionality of AWS Glue Development Endpoints.
2. Remember how Development Endpoints link with other AWS services such as Amazon S3, DynamoDB, and Redshift.
3. Clarify the security measures around Development Endpoints like the use of IAM roles and security groups.
4. Consider the cost implications as the endpoint remains open until you delete it.
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