Big data services help in defining strategy and roadmap for migrating structured data from existing applications as well as collecting semi-structured/unstructured data for building a big data platform. The services also enable designing and developing analytics frameworks for big data use cases and constructing dashboards and KPIs to meet business requirements.
Data Ingestion from varied sources using different methodologies / tools (ETL tools or Big Data specific scripting tools Sqoop / Flume etc.)
Platform & Cluster Setup
Platform Design & Sizing, Configuration & Standing up cluster including other Hadoop Eco-system tools. Performance tuning and scaling of clusters.
Data Modeling, Schema Design, Archival etc. Hive, Impala, NoSQL and other methodologies / tools needed to make data available for business use-case scenarios.
Real time Structured & Unstructured Data
Real-time, structured and unstructured data ingesion methodologies and framework for real time ingesion from social media, sensors data etc.
Reporting and Data visualization using traditional or next-gen solutions like ROAMBI, Tableau, Qlik, BO, Cognos, Microstrategy Jaspersoft, Yellowfin etc.
Advisory, Professional, Data Discovery & support
Professional, Consulting and support services based on clients specific requirements or combination of one or more services.
Pre-built Sentiment Analytics framework to provide faster analytics
Structured and Unstructured data analysis for a comprehensive solution
Real time data ingestion for speedy processing