Overview
The Analytical Data Platform provides an end-to-end source-agnostic infrastructure to run streaming and batch applications, build machine learning pipelines, and create data quality checkers. The platform is based on a modular approach and it consists of a Base Platform and the following use cases which can be launched on top of it: Image Recognition, Promotion Planning, Batch Processing, Streaming, and Data Governance. When the product is launched, AWS CloudFormation deploys corresponding resources in your AWS account. Once the Base Platform is up, Data Governance use case can be launched on top of it. This use case consists of two parts: data quality and data lineage. Data quality is based on input data or results of data analytics. It supports integration with Apache Griffin. Data lineage is based on data pipeline and represents dependency between data. It provides integration with Apache Atlas. CloudFormation link: CloudFormation link: https://griddynamics-analytical-data-platform-releases.s3.amazonaws.com/platform/2023-02-16-marketplace/cloudformation/l2/case-datagovernance.yaml
Highlights
- Data Governance is a framework to build data quality checks, identify lineage (relation) between target and source datasets and building data catalog over existing data in Data Lake and Enterprise Data Warehouse.
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Atlas
- Amazon EKS
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
Fix troubles with image atlas
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