The math tutoring company worked with Zelusit to build upon their existing AWS Cloud configuration to create an architecture that implemented an array of AWS Secure Cloud Services.
Zelusit 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.
Zelusit implemented a data lake in Amazon S3 and created an enterprise data model on top of it, running on Redshift.
Zelusit helped Reveel build a single source of truth for business insights by leveraging delta lakes on AWS.
Zelusit designed and implemented an AWS-based cloud analytics solution and played a key role in the customer’s sustainability transformation.
We delivered a scalable and efficient analytical tool that determines the optimal parcel sizes and improved fill rates for different parcel types.
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.
Zelusit 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.