We are witnessing a quantum leap in the data generated by devices, systems, and users in the current IoT world. The need to make sense of this vast volume of information for intelligent decision-making using big data analytics is increasingly becoming critical for the organizations to stay ahead of the competitive curve. In this scenario, it essential for organizations to combine the data coming from devices with the enterprise and consumer data to generate meaningful actionable business insights for informed decision-making.
eInfochips, provides a wide range of big data services across the entire data lifecycle, from data acquisition, ingestion, aggregation, storage, processing, visualization and analytics, helping companies to correlate their data transformation investments with revenues.
Why eInfochips for Big Data Consulting Services?
Over half a decade experience of handling OT + IT data complexity and scale
Multi-Year Engagements with Fortune 500 companies
Solution mind-set encompassing Open source, Proprietary and/or Cloud
Investment in proactive assessments / data stack Optimization
100% Staff Certified on at least 1 Data Management Technology, reducing learning curve
Experience across data lifecycle
Key Offerings
- Data Strategy & business goals
- Assessment of BI / Big Data roadmap
- Infrastructure / platform Selection & Architecture for Data platform / application
- Assessment of data source (IoT, finance, marketing…)
- Build data platform as per selected architecture
- Data Security
- Data sizing, monitoring, capacity planning
- DevOps
- Monitoring, administration and support for data platform
- Environment management – upgrades, patches, DR, failover
- Deployment strategy like Canary, Blue Green
- CloudOps/ML Ops
Key Offerings
Operate –Managed Services
- Monitoring, administration and support for data platform
- Environment management – upgrades, patches, DR, failover
- Deployment strategy like canary, blue-green
- CloudOps / AIOps
Data Platform–Build Services
- Build data platform as per selected architecture
- Data security
- Data sizing, monitoring, capacity planning
- DevOps
- Data strategy & business goals
- Assessment of BI / Big Data roadmap
- Infrastructure / platform selection & architecture for data platform / application
- Assessment of data source (IoT, finance, marketing…)
Consulting/Assessments
- Architecture
- Production readiness
- Performance tuning
- Health check
Tools and Technologies
- Data collection and aggregation – Microsoft SQL server Integration services, Kafka, Alteryx
- Data storage and processing – MongoDB, Hadoop, Elasticsearch, AWS Redshift
- Data visualization – Tableau, PowerBI, Jaspersoft, Amazon Quicksight
Platform Builds
- Concept to reality
- Architecture definition
- Tools & technology evaluations
- Design to sustenance lifecycle ownership
- Post production support
Modernization
- Cloud SaaS for migration
- Legacy + Open source technology expertise
