What we offer?
Consultation around your domain, schema, model design and validation
Big data engineering &
Setting up hybrid & cloud native large scale clusters for batch and real time capabilities.
Data governance strategy and controls implementation
Machine learning and
Develop, test, deploy and maintain models using latest frameworks for prediction, classification, automation and detection.
For presenting insights as a story with data
IoT - Internet Of Things
Predictive maintenance and observability for consumer product startup
Hotel room harmonization and personalized recommendation engine
Integrating disparate local data for harmonized global report generation from text and images
Lead identification and opportunity prediction system using web scale data and NLP
- Business objectives
- Identify data sources and schema(Real Time Big Data stream, Listeners, In Stream Data processing, Data Destination)
- Study nature of data & relations
- Pre-processing & Building ML Models
- Choose processing style as per latency requirement
- Design data warehouse component(Per event, Micro Batch, Batch)
- Identify right set of tools(Cost, Time, Integration)
- Security & Compliance requirement
- Develop ETL phase for data sources
- Prepare dataset for model training evaluation
- Convert prototype model to production ready
- Build data warehousing components for transformed data
Develop applications for end-user
to consume data
- Scalable cost
(test, monitoring & alerts).
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