![]() ![]() For Trusted entity type¸ select AWS service.For more information, refer to Using an IAM role to grant permissions to applications running on Amazon EC2 instances. This configuration path follows the best practices for providing access to cloud-based resources using IAM roles. Set up an AWS Cloud-based computer with Amazon EC2 To set up a desktop computer, we recommend completing the steps in Getting started with AWS Glue interactive sessions. You can select the configuration path that is applicable to your environment. The following steps walk through each client access configuration. The development environment can be a desktop computer running Windows or Mac/Linux, or similar operating systems running on the AWS Cloud using Amazon EC2. ![]() This secondary level of access configuration needs to occur on the developer’s environment. Note the ARN of the role, arn:aws:iam:: :role/glue_interactive_role.For Role name, enter glue_interactive_role.On the Add permissions page, search and choose the AWS managed permission policies AWSGlueServiceRole and glue_interactive_policy_limit_s3.For Use cases for other AWS services, choose Glue.For Trusted entity type, select AWS service.On the IAM console, choose Roles in the navigation pane.To create a role for AWS Glue with limited Amazon S3 read privileges, complete the following steps: For Policy name, enter glue_interactive_policy_limit_s3.On the JSON tab, enter the following code:.On the IAM console, choose Policies in the navigation pane.You use IAM to define the policies and roles for access to AWS Glue. The first step is to create an IAM policy that limits read access to the S3 bucket s3://awsglue-datasets, which has the AWS Glue public datasets. Python 3.7 or later is the foundational prerequisite. If you don’t have one, refer to How do I create and activate a new AWS account? This guide assumes that you already have installed Python and P圜harm. You need an AWS account before you proceed. We use the script Validate_Glue_Interactive_Sessions.ipynb for validation, available as a Jupyter notebook. Integrate AWS Glue interactive sessions with an integrated development environments (IDE).You can use a desktop computer or an OS running on the AWS Cloud using Amazon Elastic Compute Cloud (Amazon EC2). Configure access to a development environment.Create an AWS Identity and Access Management (IAM) policy with limited Amazon Simple Storage Service (Amazon S3) read privileges and associated role for AWS Glue.It guides you through the following steps: This post provides a step-by-step walkthrough that builds on the instructions in Getting started with AWS Glue interactive sessions. In this post, we walk you through how to use AWS Glue interactive sessions with P圜harm to author AWS Glue jobs. Additionally, development teams immediately become productive using their existing development tool of choice. AWS Glue interactive sessions also provide advanced users the same Apache Spark engine as AWS Glue 2.0 or AWS Glue 3.0, with built-in cost controls and speed. Interactive sessions provide access to run fully managed serverless Apache Spark using an on-demand model. Since its launch in 2017, AWS Glue has provided serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning, and application development.ĪWS Glue interactive sessions allows programmers to build, test, and run data preparation and analytics applications. Data lakes, business intelligence, operational analytics, and data warehousing share a common core characteristic-the ability to extract, transform, and load (ETL) data for analytics. ![]()
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