Kwartile offers professional services to design, implement and deploy Big Data solutions. We help assess existing platforms and tools and recommend the best practices around Big Data architecture.
Big Data Strategy & Advisory Services
Help organizations envision how Big Data can help drive key business initiatives
Identify 'Fit for Use' cases for On-premise vs Cloud
Help build Big Data culture and increase adoption
Help build maturity and operational models
Architect, Build Prototype/Proof-Of-Concept
Rapid prototype ingestion, analytics, data offloading and compute offloading use cases
Develop reference architectures and blue prints for 'Fit for Big Data' use cases
Define resource, infrastructure, staffing requirements for building and maintaining the platform
Evaluate Build vs Buy Data Ingestion tools
Framework & Application Development
Help address the 5 Vs – volume, variety, velocity, veracity and value of data
Help implement framework components for infrastructure, data platform and processing
Help build data platform framework for in-memory, file systems, index storage files organization
Specialize in data processing frameworks - batch processing, streaming
Application Performance Tuning
Develop plans for correct hardware sizing to run big data data loads at scale
Provide best practices for software and component configurations to deal with big data loads
Develop tuning techniques for the critical ETL phase
Review data distribution statistics for continuous improvement of pipeline performance
Advanced Analytics
Provide expertise to deploy machine learning algorithms on data platforms
Help implement data discovery and data preparation techniques for data science projects
Provide services to build analytics modules to determine data insights
Help make recommendation engines based on the data assets and types
