Building a Data Lake for a Retailer

What did we do?

Our client, a large retailer, was looking to centralize and integrate their data from multiple sources, including online sales, in-store transactions, and customer feedback. We worked with the client to design and build a data lake, using a modern cloud-based architecture that could handle the large volumes of data and support real-time data processing. The data lake has allowed the client to gain a more comprehensive view of their business, enabling them to make data-driven decisions and improve their operations.

Technologies Used

Databricks, AWS Glue, AWS cloudformation, AWS S3, AWS ec2, Trino, AWS dynamodb, AWS Kinesis, AWS Quicksight, AWS redshift, Tableau

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