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Netezza to BigQuery
Book Assessment
At a glance
Scope
Query and schema conversion
Semantic and type alignment
Validation and cutover readiness
Risk areas
Deliverables
Prioritized execution plan
Parity evidence and variance log
Rollback-ready cutover criteria
Next reads
Related links
01
Workload
ETL / pipeline migration
Migrate Netezza ETL pipelines to BigQuery with preserved incremental semantics, deterministic upserts, and late-arrival corrections—validated with integrity gates and pruning/cost baselines for predictable spend.
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02
Workload
Performance tuning & optimization
Optimize Netezza→BigQuery workloads for predictable scan cost and fast SLAs: replace distribution/zone-map assumptions with pruning-first rewrites, partitioning/clustering, materializations, and regression gates.
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03
Workload
SQL / query migration
Convert Netezza SQL to BigQuery Standard SQL with preserved semantics for analytics/window logic, NULL/type coercion, and date/time handling—validated with golden-query parity and pruning/cost gates.
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04
Workload
Stored procedure / UDF migration
Migrate Netezza UDFs, stored procedures, and macro-style ETL utilities to BigQuery routines with preserved typing, control flow, and side effects—validated with replayable harnesses and cutover gates.
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05
Workload
Validation & reconciliation
Prove Netezza→BigQuery parity with repeatable gates: golden queries, KPI diffs, checksum aggregates, pruning/cost baselines, rerun/backfill simulations, and rollback-ready cutover criteria.
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Book Assessment