Design, build, and optimize petabyte-scale data platforms — Hadoop ecosystems, Spark pipelines, Kafka streaming, and lakehouse architectures that handle your data at any speed.
Modern enterprises generate data at volumes, velocities, and varieties that legacy systems simply cannot handle. RadiCorp designs, builds, and operates Big Data platforms that turn raw data into a reliable, governed, and queryable asset — whether you are batch-processing daily logs or streaming millions of events per second.
Our practitioners bring hands-on experience across the full Hadoop ecosystem, cloud-native data platforms (EMR, Dataproc, HDInsight), and modern lakehouse formats like Delta Lake, Apache Iceberg, and Apache Hudi. We do not build bespoke one-offs — we build maintainable, observable, and cost-optimized data infrastructure that your team can own.
From raw ingestion to governed, analytics-ready data — we cover every layer of the modern data platform stack.
We are practitioners across the full Big Data ecosystem — open-source and cloud-managed.
A structured, iterative approach that reduces risk and delivers value at every stage.
We audit your current data landscape — sources, volumes, latency requirements, quality issues, and existing infrastructure — to establish a clear baseline and identify priorities.
We design a reference architecture covering ingestion, storage, processing, and serving layers, with technology choices matched to your scale, budget, and team capabilities.
A focused PoC validates the architecture against your real data and use cases — surfacing edge cases and performance characteristics before full-scale build begins.
Agile delivery in sprints — pipelines, transformations, and platform components are built, tested, and deployed incrementally with continuous feedback from your data teams.
We add data quality checks, access controls, lineage tracking, monitoring dashboards, and runbooks to make the platform production-ready and team-maintainable.
Full knowledge transfer, documentation, and optional ongoing managed support. Your team inherits a well-documented, observable platform they can evolve independently.
Deploy and manage your Big Data platform on AWS EMR, Azure HDInsight, or Google Dataproc with cloud-native cost controls and reliability engineering.
Explore Cloud ComputingOnce your data platform is running, unlock its value with predictive analytics, BI dashboards, and self-service reporting built on governed, reliable data.
Explore Data ScienceAutomate your data pipeline deployments with CI/CD, Infrastructure as Code, and Kubernetes-based orchestration for consistent, repeatable releases.
Explore DevOpsTell us about your data volumes, current bottlenecks, and goals. We will design a platform architecture that fits your business — and your budget.