aws-samples / amazon-redshift-data-warehouse-migration
In few hours, quickly learn how to effectively migrate oracle data warehouse workload to Amazon Redshift using AWS Schema Conversion Tool (SCT) and SCT data extractors. The lab will help them to use advance features of SCT like Virtual Partition while migrating the data warehouse to Amazon Redshift.
☆10Updated 4 years ago
Alternatives and similar repositories for amazon-redshift-data-warehouse-migration:
Users that are interested in amazon-redshift-data-warehouse-migration are comparing it to the libraries listed below
- ☆73Updated last year
- This solution helps you deploy Data Lake Infrastructure on AWS using CDK Pipelines.☆92Updated 2 years ago
- Collection of Cloud Formation Templates, Lambda Scripts and sample code required to provision an AWS Data Lake for a ReInvent Lab Exercis…☆26Updated 5 years ago
- Hugo Style Documents☆18Updated last year
- A workshop demonstrating the capabilities of S3, Athena, Glue, Kinesis, and Quicksight.☆158Updated 4 years ago
- This solution helps you deploy ETL jobs on data lake using CDK Pipelines.☆67Updated 2 years ago
- Repository for AWS Glue Workshop☆31Updated 2 years ago
- ☆32Updated 5 months ago
- Bring your own data Labs: Build a serverless data pipeline based on your own data☆42Updated last year
- ☆158Updated 10 months ago
- A packaged Data Lake solution, that builds a highly functional Data Lake, with a data catalog queryable via Elasticsearch☆73Updated 4 years ago
- Framework to enforce long term health of your AWS Data Lake by providing visibility into operational, data quality and business metrics.☆17Updated 3 years ago
- The Automated Data Analytics on AWS solution provides an end-to-end data platform for ingesting, transforming, managing and querying data…☆89Updated 3 months ago
- Lab Materials for re:Invent 2018 workshop - Hands on with Advanced CloudFormation Techniques and New Features.☆80Updated 5 years ago
- AWS Workshop tutorial for building applications with Amazon AI Services☆31Updated 2 years ago
- A collection of recommended practices to accelerate the building of secure data science environments in regulated environments.☆48Updated last year
- Design best practices for building scalable ETL (Extract-Transform-Load) and ELT (Extract-Load-Transform) data processing pipelines using…☆16Updated 5 years ago
- ☆47Updated 10 months ago
- AWS BikeNow Demo is a sample web application that demonstrates the breadth and depth of database, analytics, and AI/ML services on AWS.☆22Updated last year
- A simple JavaScript frontend and SAM template to spin up a serverless backend, federating Cognito User Pools users to QuickSight.☆79Updated 3 years ago
- AI_ML_Workshops☆51Updated 4 years ago
- Amazon EFS Integrations☆24Updated 2 years ago
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆70Updated last year
- amazon-sagemaker-cdk-examples uses AWS CDK to simplify common architectures in machine leaning operations using Sagemaker and other AWS s…☆68Updated 9 months ago
- Pre-built examples of Generative AI agents with Bedrock across multiple industries.☆31Updated 2 months ago
- Workshop and lab content for Amazon Aurora MySQL compatible databases. This code will contain a series of templates, instructional guides…☆79Updated 9 months ago
- This GitHub project provides a series of lab exercises which help users get started using the Redshift platform.☆53Updated 3 years ago
- aws-solutions-library-samples / guidance-for-a-multi-tenant-generative-ai-gateway-with-cost-and-usage-tracking-on-awsThis Guidance demonstrates how to build an internal Software-as-a-Service (SaaS) platform that provides access to foundation models, like…☆70Updated 2 months ago