Trusted Hadoop to BigQuery Migrations, Fixed Scope
Moving Apache Hadoop to Google BigQuery is a well-understood project. We handle it with fixed scope, senior engineers, and automated Hive-to-BigQuery SQL translation.
The lowest-cost way off Apache Hadoop: our migration tooling automates the repetitive work —you pay senior engineers for judgment, not keystrokes.
How we support Apache Hadoop → Google BigQuery after migration
- ✓Custom automated transformation scripts for Hive SQL to BigQuery SQL.
- ✓Fixed-scope projects managed by senior platform engineers.
- ✓Migrate on your timeline with vendor support until contract ends.
- ✓If renewal lapses, third-party support covers most operational issues.
- ✓24/7 US-based support during and after migration.
- ✓40-70% savings on legacy support while you plan the move.
HDFS Admin Attrition
Losing Hadoop expertise? You still need a safe path to BigQuery. We provide the engineers and process to fill that gap.
Legacy Cumbersome Code
Pig Latin, Java MapReduce jars, and Ranger policies slow your migration. Our tooling automates SQL translation, not manual rewrites.
HBase & Licensing Overhead
HBase dependencies and costly CDH licenses complicate your move. We map HBase to Bigtable and reduce licensing drag.
Apache Hadoop → Google BigQuery migration — your questions answered
How long does an Apache Hadoop to Google BigQuery migration take?+
Typical projects run 5-10 months with 3-5 of our senior engineers. Timeline depends on data volume, number of Hive scripts, and Ranger policies.
What happens to my existing Hadoop support during migration?+
You keep your vendor contract active to receive patches. If it lapses, our third-party support covers most operational issues on the legacy platform (excluding vendor patches).
How do you translate Pig Latin or MapReduce to BigQuery?+
We use custom automated scripts to convert Hive SQL to BigQuery SQL. For Pig and Java MapReduce jars, we refactor logic into BigQuery SQL or batch jobs — no manual rewrite of every transformation.
Do you handle HBase dependencies?+
Yes. We map HBase tables to Google Bigtable or Cloud Spanner, and adjust application code accordingly. Fine-grained Ranger policies are recreated using BigQuery row-level access controls.
Begin Your Trusted Migration to BigQuery
You've made the strategic decision to move from Apache Hadoop to Google BigQuery. Now execute with fixed scope, senior engineers, and automated SQL translation. If you want ongoing support on the new platform, ask about Google Cloud Data Platform Managed Services. Ready to start? Schedule your free assessment today.