Overview
Many organizations continue to rely on Hadoop and legacy data platforms that are expensive to maintain, hard to scale, and slow to deliver analytics insights. Genclays helps organizations migrate Hadoop and traditional data warehouses to Google Cloud Platform (GCP) in a structured, low‑risk, and outcome‑driven manner.
Our approach goes beyond data movement. We redesign architectures, modernize ingestion patterns, and enable analytics‑ready data platforms centered on BigQuery.
What We Deliver
- End‑to‑end Hadoop migration to GCP
- Legacy RDBMS and on‑prem warehouse migration to BigQuery
- Cloud‑native target architecture design
- TB‑scale data migration and validation
- Legacy Hadoop decommissioning strategy
Our Migration Approach
- Current‑State Assessment – Platform review, dependency mapping, risk identification
- Target Architecture Design – GCP‑native, BigQuery‑centric architecture
- Migration Execution – Data transfer, pipeline rebuild, validation
- Optimization & Stabilization – Performance, reliability, and cost tuning
- Legacy Decommissioning – Controlled shutdown of Hadoop environments
Who This Is For
- Organizations planning Hadoop or on‑prem decommissioning
- Data‑heavy platforms facing scalability or cost issues
- Teams modernizing analytics infrastructure on GCP