Technologies and components
- Apache Cloudberry, Greenplum, WarehousePG and SynxDB: SQL warehouse options with massively parallel processing.
- Apache Spark: batch processing, data preparation and machine learning workloads.
- Apache Iceberg and Hadoop: open tables on object storage and continuity for HDFS/YARN estates.
Architecture and operations
We design distribution, partitioning, quality and workloads. Iceberg manages snapshots and schema evolution; Spark transforms data and the warehouse serves SQL and BI. The catalogue records sources and transformations.
Use cases
- Financial reporting, risk analytics and reproducible business history.
- Greenplum evolution and migration from Snowflake, BigQuery or Redshift to your own platform, subject to SQL and integration assessment.
Planning the migration
We inventory schemas, queries, ETL and BI dependencies. We validate SQL conversion, load historical data and run both environments in parallel to compare results, runtimes and resource use before go-live.
What we deliver
Architecture design, versioned configuration, test plan, operating and recovery procedures, and team onboarding. We agree which components your team operates and which Nuxia covers.
Versions, licences, compatibility, support coverage and service targets are agreed after reviewing the environment. Sizing and results are validated with representative workloads and tests.