{"id":25405308,"url":"https://github.com/dacort/modern-data-lake-storage-layers","last_synced_at":"2025-10-31T01:31:33.964Z","repository":{"id":45169879,"uuid":"454893729","full_name":"dacort/modern-data-lake-storage-layers","owner":"dacort","description":"Jupyter notebooks and AWS CloudFormation template to show how Hudi, Iceberg, and Delta Lake work","archived":false,"fork":false,"pushed_at":"2022-07-13T05:01:43.000Z","size":268,"stargazers_count":48,"open_issues_count":1,"forks_count":29,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-04-07T01:23:42.406Z","etag":null,"topics":["amazon-emr","apache-hudi","apache-iceberg","aws","delta-lake","hudi","iceberg"],"latest_commit_sha":null,"homepage":"https://dacort.dev/posts/modern-data-lake-storage-layers/","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"cc0-1.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/dacort.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2022-02-02T18:36:48.000Z","updated_at":"2024-12-08T00:26:35.000Z","dependencies_parsed_at":"2022-07-13T16:48:00.151Z","dependency_job_id":null,"html_url":"https://github.com/dacort/modern-data-lake-storage-layers","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/dacort/modern-data-lake-storage-layers","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dacort%2Fmodern-data-lake-storage-layers","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dacort%2Fmodern-data-lake-storage-layers/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dacort%2Fmodern-data-lake-storage-layers/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dacort%2Fmodern-data-lake-storage-layers/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dacort","download_url":"https://codeload.github.com/dacort/modern-data-lake-storage-layers/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dacort%2Fmodern-data-lake-storage-layers/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":281914522,"owners_count":26583082,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-10-30T02:00:06.501Z","response_time":61,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["amazon-emr","apache-hudi","apache-iceberg","aws","delta-lake","hudi","iceberg"],"created_at":"2025-02-16T04:33:56.811Z","updated_at":"2025-10-31T01:31:33.465Z","avatar_url":"https://github.com/dacort.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Modern Data Lake Storage Layers\n\nThis repository contains supporting assets for my research in modern Data Lake storage layers like Apache Hudi, Apache Iceberg, and Delta Lake.\n\nSpecifically, there's a [CloudFormation template](cloudformation/emr-studio-cluster.cfn.yaml) to create an EMR cluster and EMR Studio with the necessary requirements and Jupyter notebooks with the example walkthroughs.\n\nYou can view the corresponding [blog post](https://dacort.dev/posts/modern-data-lake-storage-layers/) and [video](https://www.youtube.com/watch?v=fryfx0Zg7KA)\n\n## Pre-requisites\n\nYou'll need an AWS Account in which you have administrator privileges and the ability to deploy a CloudFormation template. The template **will** create an EMR Cluster and S3 bucket that will incur charges - be sure to either shut down the cluster when done or delete the CloudFormation stack. In order to delete the CloudFormation stack, you'll need to:\n\n- Manually delete any EMR Studio Workspaces you created\n- Manually empty the S3 bucket created by CloudFormation\n- Manually delete the VPC created by CloudFormation due to auto-created rules\n\n## Overview\n\nThe included CloudFormation template creates a new VPC and EMR Cluster for you to be able to run the notebooks. An EMR Studio is also created and you can find the Studio URL in the `Outputs` tab of your CloudFormation Stack.\n\nOnce the stack is done creating, you'll need to navigate to EMR Studio and create a new workspace attached to the \"data-lakes\" cluster.\n\n![](emr_studio_create_workspace.png)\n\nInside the workspace you either upload each notebook individually from the [notebooks/](notebooks/) folder or simply connect to this repository by using the \"Git\" icon on the left-hand side.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdacort%2Fmodern-data-lake-storage-layers","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdacort%2Fmodern-data-lake-storage-layers","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdacort%2Fmodern-data-lake-storage-layers/lists"}