The Infogain process for building data assets takes a modern, holistic approach. We build, orchestrate, and manage data pipelines with well-defined, specific processes for building, changing, testing, deploying, running, and monitoring code and configuration assets across the data lifecycle.
Infogain processes and methods
Infogain DataOps services leverage Agile and DevOps methodologies for building and managing data pipelines and applications for an automated and accelerated data supply chain that continuously improves and delivers value to the business.
Data Modernization Strategy
Define data-driven transformation goals to accelerate decision-making with actionable, insightful intelligence. Drive new business models by monetizing data from data sets, insights, and analytics-based services.
Data Architecture
Architect an adaptive, automated, secure blueprint for a data environment that aligns short- and long-term goals with the products, tools, and processes that capture, transform, and deliver usable and contextual data to consumers.
Pipeline Orchestration
Modern pipeline orchestration provisions environments and platform technologies, moves data between different stages, instantiates tools that operate on the data, monitors progress, and raises alerts.
Data Pipeline Engineering
Build versatile data pipelines to support your processing operations: ingestion, integration, validation, security transformation, aggregation, and curation.
Environment & Deployment Automation
Enable automated provisioning of dev/test/production environments, platform technologies, and data processing assets.
Automated Testing & Monitoring
Automate continuous testing to profile, validate, and check data lineage, and monitor all platform components for optimal uptime and performance.
