Creating a Data Lakehouse as a single source of truth with a multi-year strategy to derive insights, identify gaps, and enable fact-based decisions.
Client
An educational testing and assessment organization
Goal
To create a single data source that gives market insights, identifies gaps and facilitates a multi-year data-driven strategy
Tools and Technologies
Redshift, AWS Glue, AWS Kinesis, Apache Spark, AWS Athena, AWS Lake Formation
Business Challenge
The client managed vast amounts of data from multiple sources to extract market insights However, duplication across approximately 300 applications hampered analytics and adaptability. The goal was to eliminate duplication, identify gaps, and create a single source of data that could be leveraged for efficient, data-driven decision-making.
Solution
- Built a centralized Data Lake and Data Lakehouse as the single source of data
- Facilitated seamless data ingestion
- Created a single version of data and DataOps processes
- Streamlined governance through retirement of duplicate and mirrored databases
- Outlined a multi-year data strategy with clear foundational steps for scalability
Outcomes
- Enabled analysis and advanced analytics using a centralized data lake
- Transformed decision making into a data-driven process
