MISSION:
MISSION:
Structure Signal for Real-Time Intelligence
We engineered a cloud-native data pipeline that turns previously unused event data into structured, query-ready signal—archived and actionable.
MISSION:
Structure Signal for Real-Time Intelligence
We engineered a cloud-native data pipeline that turns previously unused event data into structured, query-ready signal—archived and actionable.
“We didn’t wait for a use case. We just knew they’d need it."
—Wells Burke, Rocket CEO
Outcome:
Capturing signal isn’t the challenge—structuring it is. Rocket identified millions of unused impression events already flowing through a client’s system. Rather than let that data go to waste, we built a real-time pipeline to stream, normalize and archive it. The result is a structured, query-ready dataset that supports reporting, analytics and future AI use—with zero impact to the front-end behavior.
Architecture:
Rocket intercepted live event traffic already flowing through the platform without requiring any changes at the UI level. Data was streamed via Kinesis, normalized and warehoused in Redshift. The result: a structured analytics layer that supports reporting, pattern analysis and AI development, even if the business isn’t using it yet.
KEY TECHNOLOGIES AND EXPERTISE
AWS Kinesis Streaming Layer
Ingests and partitions high-frequency event data with near real-time throughput.
Redshift Analytics Warehouse
Stores usage data in a performant, queryable format for long-term value extraction.
Event Normalization Logic
Transforms raw signals into structured data aligned with usage, timing and identity states.
Microsite and Device Impression Capture
Tracks exposure, engagement and completion at the interaction level.
Identity Stitching Framework
Connects anonymous and known user states across time and surface.
Analytics-Ready Schema Design
Enables fast querying and ML model readiness without post-hoc cleanup.
Ready to unlock value from the data you already collect?
Talk to Rocket about real-time pipelines that future-proof your analytics.
