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 implemented an Azure-based solution that ensures seamless integration of all analytic services through Synapse and provides an online, modern reporting.
Zelusit implemented a Power BI solution, based on the Azure Data Lake, to drive greater business insights and tailor a superior data visualization UX for the ESA.
Zelusit implemented a data lake solution in Google Cloud by migrating a on-premises Hadoop-based data lake to a fully managed GCP environment.
Zelusit helped the client leverage just-in-time inventory fulfillment, reduce freight costs, drive better sales margins, and accelerate order fulfillment.
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.
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.