Services
Big Data Solutions
Large volumes of data need a plan for what is worth keeping and how it will be used.
Big Data Solutions
Connect the information to a useful decision
We review the data sources, access patterns and processing needs before designing storage and compute. Capacity decisions are tied to the workload, so the platform supports a purpose rather than simply growing larger.
Questions behind the data
- Distributed data processing architecture
- Data lake design & implementation
- Real-time streaming pipelines
- Scalable storage strategy
- Big data platform selection (Spark/Hadoop/etc.)
In practice
Big Data Solutions: a practical example
Follow a high-volume source through ingestion, storage and one useful query. Include late or malformed records and a realistic retention period. The review helps agree how data is rejected, corrected and traced, alongside the capacity and cost assumptions of the proposed approach.
An illustrative scenario to discuss when planning your project.