DAIVI is a reference solution with Terraform modules to accelerate development of Data, Analytics, AI and Visualization applications on AWS using the next generation "Amazon SageMaker" platform. The goal of the DAIVI solution is to provide engineers with sample Terraform modules to build their enterprise data platform on AWS. The solution is being developed working backward from customer priorities.
The solution currently supports the following modules.
1. Identity Center modules for Organization Level and Account Level Identity Centers with Users, Groups, Permissions and IAM Mapping
2. Data Lake modules to create Hive Tables and Iceberg Tables, both on standard S3 bucket and S3 Table bucket
3. Sagemaker modules to provision domains and projects, add members to the projects, configure lakehouse and add compute
4. Sagemaker Catalog modules to support standard assets, custom assets, data lineage, both standard and custom, data quality and data mesh
5. DataZone modules to support standard assets, custom blueprints, data lineage, both standard and custom, data quality and data mesh
6. Data pipeline module for Glue batch pipeline, Data exploration module for Athena and Data visualization module for Quicksight.
Learn more at – https://go.aws/4jyNumL
Subscribe to AWS: https://go.aws/subscribe
Sign up for AWS: https://go.aws/signup
AWS free tier: https://go.aws/free
Explore more: https://go.aws/more
Contact AWS: https://go.aws/contact
Next steps:
Explore on AWS in Analyst Research: https://go.aws/reports
Discover, deploy, and manage software that runs on AWS: https://go.aws/marketplace
Join the AWS Partner Network: https://go.aws/partners
Learn more on how Amazon builds and operates software: https://go.aws/library
Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: https://go.aws/3lPaoPb
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—use AWS to be more agile, lower costs, and innovate faster.
#AWS #AmazonWebServices #CloudComputing #FSIPACE #DAIVI #HiveDataLake #IcebergDataLake #S3Table #IAMIdentityCenter #SagemakerUnifiedStudio #SagemakerLakehouse #SagemakerCatalog #SagemakerDataMesh #DataQuality #DataLineage #DataZone #Quicksight
