In today's data-driven world, organizations are inundated with vast amounts of data. To derive actionable insights and unlock the value within this data, businesses need effective mechanisms for storage, processing, and analysis. Data lakes offer a solution by providing scalable storage and powerful analytics capabilities. However, building a data lake can be complex and time-consuming.

With DinoCloud's Data Lake POC, you can rapidly deploy a simple, scalable data lake using serverless managed services on AWS. Our POC simplifies the process, allowing you to consolidate both semi-structured and unstructured data quickly and efficiently.

Key Activities:

• Leveraging AWS managed services and third-party operational insight tools, DinoCloud will develop a data lake POC with one data source for ingestion.
• The POC will establish a simple, extensible data lake to unify, inventory, and catalog company data, enhancing data insights for democratization, analytics, and monetization initiatives.

Deliverables:

• Deployment of Data Lake POC in a non-production AWS environment (single account, single data source).
• Data ingestion at hourly intervals for each source (using Amazon Glue JDBC or custom ingestion flow).
• Implementation of 10 data transformations.
• Data schema definitions and catalog.
• Documented architecture.
• Working session to demonstrate end-to-end workflow on the data lake (from data ingestion to cataloging).