AWS Redshift

Discover how GasNet transformed its data environment over two years and prepared for the digital future of the energy sector.

Adastra deployed an end-to-end DevOps strategy for the organization, streamlining and boosting cooperation among development and operations teams.

The math tutoring company worked with Adastra to build upon their existing AWS Cloud configuration to create an architecture that implemented an array of AWS Secure Cloud Services.

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.