aws-samples / aws-glue-flatten-nested-jsonLinks
☆51Updated 3 years ago
Alternatives and similar repositories for aws-glue-flatten-nested-json
Users that are interested in aws-glue-flatten-nested-json are comparing it to the libraries listed below
Sorting:
- ☆73Updated last year
- This solution helps you deploy ETL jobs on data lake using CDK Pipelines.☆68Updated 3 years ago
- Repository for AWS Glue Workshop☆32Updated 2 years ago
- ☆89Updated last year
- Lab Instructions for Data Engineering Immersion Day☆192Updated 8 months ago
- A workshop demonstrating the capabilities of S3, Athena, Glue, Kinesis, and Quicksight.☆158Updated 5 years ago
- ☆158Updated last year
- Amazon Managed Workflows for Apache Airflow (MWAA) Examples repository contains example DAGs, requirements.txt, plugins, and CloudFormati…☆116Updated 3 months ago
- This repository contains ready-to-use notebook examples for a wide variety of use cases in Amazon EMR Studio.☆52Updated last year
- Samples to help you get started with the Amazon Redshift Data API☆71Updated 2 years ago
- Automated data quality suggestions and analysis with Deequ on AWS Glue☆88Updated 2 years ago
- Reference Architectures for Datalakes on AWS☆78Updated 5 years ago
- ☆34Updated 2 years ago
- This solution helps you deploy Data Lake Infrastructure on AWS using CDK Pipelines.☆98Updated 3 years ago
- ☆74Updated last year
- The open source version of the AWS Glue docs. You can submit feedback & requests for changes by submitting issues in this repo or by maki…☆200Updated 2 years ago
- Build, Test and Deploy ETL solutions using AWS Glue and AWS CDK based CI/CD pipelines☆42Updated 3 years ago
- Example code for running Spark and Hive jobs on EMR Serverless.☆168Updated 9 months ago
- ☆29Updated last year
- As customers move from building data lakes and analytics on AWS to building machine learning solutions, one of their biggest challenges i…☆63Updated 6 years ago
- Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS☆292Updated 6 months ago
- Framework to enforce long term health of your AWS Data Lake by providing visibility into operational, data quality and business metrics.☆30Updated 4 years ago
- A serverless architecture for orchestrating ETL jobs in arbitrarily-complex workflows using AWS Step Functions and AWS Lambda.☆342Updated last year
- ☆32Updated 3 years ago
- A collection of recommended practices to accelerate the building of secure data science environments in regulated environments.☆49Updated 2 years ago
- This GitHub project provides a series of lab exercises which help users get started using the Redshift platform.☆53Updated 4 years ago
- Enterprise-grade, production-hardened, serverless data lake on AWS☆472Updated 3 weeks ago
- An open source development framework to help you build data workflows and modern data architecture on AWS.☆270Updated 6 months ago
- A deployable reference implementation intended to address pain points around conceptualizing data lake architectures that automatically c…☆402Updated last year
- Amazon S3 Find and Forget is a solution to handle data erasure requests from data lakes stored on Amazon S3, for example, pursuant to the…☆242Updated 3 months ago