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update version to 2.5.0-beta.1
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README.md

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<img align="left" src="docs/_static/sail-icon.png" width="50" height="44"> The Serverless Data Lake Framework (SDLF) is a collection of reusable artifacts aimed at accelerating the delivery of enterprise data lakes on AWS, shortening the deployment time to production from several months to a few weeks. It can be used by AWS teams, partners and customers to implement the foundational structure of a data lake following best practices.
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**It is recommended to use the [latest stable release](https://github.com/awslabs/aws-serverless-data-lake-framework/releases) when setting up SDLF.**
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**For users of SDLF 1.x, version 1 is still available on the [master branch](https://github.com/awslabs/aws-serverless-data-lake-framework/tree/master). Development of newer versions of SDLF (2.x) happens on branch main. The workshop still contains sections for version 1 as well.**
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## Motivation

deploy.sh

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notunderline=$(tput rmul)
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notbold=$(tput sgr0)
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version () { echo "awssdlf/2.5.0.beta-0"; }
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version () { echo "awssdlf/2.5.0-beta.1"; }
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usage () { echo "
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--version -- Prints the SDLF version

sdlf-dataset/pyproject.toml

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[tool.poetry]
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name = "sdlf.dataset"
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version = "2.5.0-beta.0"
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version = "2.5.0-beta.1"
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description = "AWS Serverless Data Lake Framework"
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authors = ["Amazon Web Services"]
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license = "MIT-0"

sdlf-foundations/pyproject.toml

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[tool.poetry]
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name = "sdlf.foundations"
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version = "2.5.0-beta.0"
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version = "2.5.0-beta.1"
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description = "AWS Serverless Data Lake Framework"
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authors = ["Amazon Web Services"]
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license = "MIT-0"

sdlf-foundations/src/lambda/catalog/src/lambda_function.py

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from botocore.config import Config
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from botocore.exceptions import ClientError
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session_config = Config(user_agent_extra="awssdlf/2.5.0-beta.0")
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session_config = Config(user_agent_extra="awssdlf/2.5.0-beta.1")
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logger = logging.getLogger()
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logger.setLevel(logging.INFO)

sdlf-pipeline/pyproject.toml

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[tool.poetry]
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name = "sdlf.pipeline"
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version = "2.5.0-beta.0"
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version = "2.5.0-beta.1"
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description = "AWS Serverless Data Lake Framework"
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authors = ["Amazon Web Services"]
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license = "MIT-0"

sdlf-stage-ecsfargate/pyproject.toml

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[tool.poetry]
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name = "sdlf.stage-ecsfargate"
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version = "2.5.0-beta.0"
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version = "2.5.0-beta.1"
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description = "AWS Serverless Data Lake Framework"
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authors = ["Amazon Web Services"]
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license = "MIT-0"
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python = "^3.12"
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aws-cdk-lib = "^2.151.0"
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constructs = ">=10.0.0,<11.0.0"
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sdlf-pipeline = "^2.5.0b0"
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sdlf-pipeline = "^2.5.0b1"
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[build-system]
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requires = ["poetry-core"]

sdlf-stage-emrserverless/pyproject.toml

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[tool.poetry]
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name = "sdlf.stage-emrserverless"
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version = "2.5.0-beta.0"
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version = "2.5.0-beta.1"
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description = "AWS Serverless Data Lake Framework"
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authors = ["Amazon Web Services"]
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license = "MIT-0"
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python = "^3.12"
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aws-cdk-lib = "^2.151.0"
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constructs = ">=10.0.0,<11.0.0"
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sdlf-pipeline = "^2.5.0b0"
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sdlf-pipeline = "^2.5.0b1"
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[build-system]
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requires = ["poetry-core"]

sdlf-stage-glue/pyproject.toml

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[tool.poetry]
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name = "sdlf.stage-glue"
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version = "2.5.0-beta.0"
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version = "2.5.0-beta.1"
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description = "AWS Serverless Data Lake Framework"
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authors = ["Amazon Web Services"]
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license = "MIT-0"
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python = "^3.12"
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aws-cdk-lib = "^2.151.0"
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constructs = ">=10.0.0,<11.0.0"
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sdlf-pipeline = "^2.5.0b0"
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sdlf-pipeline = "^2.5.0b1"
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[build-system]
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requires = ["poetry-core"]

sdlf-stage-lambda/pyproject.toml

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[tool.poetry]
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name = "sdlf.stage-lambda"
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version = "2.5.0-beta.0"
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version = "2.5.0-beta.1"
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description = "AWS Serverless Data Lake Framework"
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authors = ["Amazon Web Services"]
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license = "MIT-0"
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python = "^3.12"
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aws-cdk-lib = "^2.151.0"
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constructs = ">=10.0.0,<11.0.0"
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sdlf-pipeline = "^2.5.0b0"
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sdlf-pipeline = "^2.5.0b1"
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[build-system]
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requires = ["poetry-core"]

sdlf-team/pyproject.toml

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[tool.poetry]
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name = "sdlf.team"
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version = "2.5.0-beta.0"
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version = "2.5.0-beta.1"
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description = "AWS Serverless Data Lake Framework"
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authors = ["Amazon Web Services"]
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license = "MIT-0"

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