Adastra architected and implemented an enterprise Data Warehouse, leveraging Amazon Redshift to replace AstraZeneca’s on-premise Oracle and Business Objects solution, instilling a set of Governance best practices and accelerators to ensure trust and accuracy.
Adastra implemented a modern analytics architecture on AWS leveraging Amazon Redshift to enable advanced reporting, analytical, and forecasting capabilities.
Adastra implemented a data lake in Amazon S3 and created an enterprise data model on top of it, running on Redshift.
The AWS solution is comprised of two major components – an AWS data lake to store any data and a Redshift data warehouse which sources data from the data lake.
Adastra implemented an AWS Data Lake workflow to enable self-service BI system where business users can interact, explore, and visualize real-time data.
Our team migrated their analytics platform entirely to the AWS cloud, creating an S3-based data lake for impeccable data processing.