Making it easy to work
We assist organisations in building their
data analytics strategy around modern data platform
End to end data lake implementation
We design and implement data lake suitable to organisation data and analytics requirements
- Data lake enables single point of access across all data in organization with auto data refresh.
- Makes it very easy to draw actionable insights from data which drive business.
- Makes it possible to have data driven application workflows for better end user experience
- We enable organisation with data lake based on latest modern open source hadoop stack also with complete cloud based data lake with on demand services.
- Automate onboarding of all organisation data on to data lake.
- Implementation of reporting / analytics use cases to make data actionable and have business impact.
- Maintenance of platform to ensure robustness and optimized usage.
Enhance and optimize existing big data lake
We put our expertise to take existing data lake to next level with optimized resource utilization, better robustness and maintainability
- Take data lake to next level with more data processing capabilities enabled, increased robustness, improved data availability SLAs and optimized resource utilisation.
- Enhance data lake with better data processing capabilities like real time stream processing.
- Upgrade existing data transformations to new age tools which are optimized for processing time and resource utilization.
- Deploy best practice CICD process which improves robustness with automation
- Assist in implementation of analytics and data science use cases
Data Platform Consultancy
We understand your data and analytics needs to come up with blueprint of end to end data lake design
- Get overall idea of data lake architecture.
- Understand about use cases being solved and data being onboarded.
- Get idea about implementation complexity, timelines and cost before actually starting data lake implementation.
- Design of end to end data lake which suits your data scale and analytics needs.
- Capacity planning and deployment cluster architecture which helps in decision making.
- Implementation level details of top priority use cases and overall roadmap of data science.
Know details of some of data Science problems we have addressed
Travel and Booking Portal
Data Lake for Telecom
Data Lake for NBFC
Data Lake for AdTech
How do we help?
End to end data lake bringup and maintenance
Bring up an enterprise grade robust and scalable hadoop big data lake and reporting data mart Suitable to your use cases and data scale needs. Resolve source data complexity and bring your existing data on board maintain this platform to make sure use cases are served on time
Implement data engineering automation
Setup automated data ingestion pipeline. Design and build reporting data mart. Build ETL workflows as per analytics requirements
Implement data analytics use cases
Analyse your data, your use case needs Architect, Implement end to end ETL + interactive data store load + API layer Make MIS reporting, Machine Learning and Real Time reporting possible on this platform