BigQuery Consulting
Architecture reviews, data modeling, partitioning and clustering strategies, and performance tuning for new and existing BigQuery environments.
- Architecture design
- Data modeling
- Query performance
- Cost controls
BigQuery & Data Modernization
BigQuery consulting for an AI-ready data foundation.
Modernize legacy data warehouses on BigQuery with expert Google Cloud data engineering: BigQuery migration, governed pipelines, real-time analytics and data that is ready for Vertex AI and Gemini.
Governed by design
Google Cloud expertise
Real-time ready
Data platform healthy
BigQuery
Dataflow
Pub/Sub
Vertex AI
Dataplex
DATA PLATFORM
Data Services
From legacy warehouse to modern data platform.
We combine BigQuery consulting, migration and Google Cloud data engineering to give analytics and AI teams trusted, fast and well-governed data.
BigQuery Migration
Move Teradata, Netezza, Oracle, SQL Server, Snowflake, Redshift and Hadoop workloads to BigQuery with automated SQL translation.
- SQL translation
- Historical data transfer
- Parallel run & validation
- Report re-pointing
Data Warehouse Modernization
Replace rigid, expensive warehouses with a serverless platform that scales on demand and supports lakehouse patterns.
- Lakehouse architecture
- BigLake & open formats
- Semantic layers
- Self-service BI
Google Cloud Data Engineering
Reliable batch and streaming pipelines using Dataflow, Pub/Sub, Dataproc, Cloud Composer and dbt.
- ETL / ELT pipelines
- Streaming ingestion
- Orchestration
- CI/CD for data
Data Governance & Quality
Catalog, lineage, data quality rules and fine-grained access controls with Dataplex and BigQuery policies.
- Data catalog
- Lineage
- Quality monitoring
- Column & row security
Analytics & AI on BigQuery
Put data to work with BigQuery ML, Looker and Vertex AI. See our enterprise AI solutions.
- BigQuery ML
- Looker dashboards
- Gemini in BigQuery
- Vertex AI integration
BigQuery Migration
A BigQuery migration designed for predictable outcomes.
We de-risk every data warehouse migration with automated translation, side-by-side validation and a clear decommissioning plan for the legacy platform.
Workload Assessment
Profile queries, data volumes, dependencies and users to size and sequence the migration.
SQL Translation
Use the BigQuery migration service to translate legacy SQL, then review edge cases by hand.
Data Transfer
Move historical data with BigQuery Data Transfer Service and Storage Transfer at scale.
Parallel Validation
Run old and new platforms side by side and reconcile results before switching over.
Performance Tuning
Partitioning, clustering and materialized views to keep queries fast and predictable.
Cost Optimization
Editions, reservations and query governance so BigQuery costs stay under control.
Our Approach
From data chaos to trusted insight.
A phased path for data modernization that delivers value early instead of one risky big-bang project.
01
Assess
Map sources, workloads, data quality and business priorities.
02
Design
Define the target BigQuery architecture, governance and security model.
03
Migrate
Translate SQL, move data and rebuild pipelines in prioritized waves.
04
Validate
Reconcile results in parallel and move reports and users across.
05
Evolve
Add real-time, ML and generative AI use cases on the new platform.
Why Auriqo
Your AI strategy is only as strong as your data.
We build data platforms with the end use in mind: dashboards people trust today, and data foundations ready for Vertex AI, Gemini and Agentic AI tomorrow.
Business-first data
Priorities driven by reports, decisions and AI use cases that matter.
Deep Google Cloud expertise
BigQuery, Dataflow, Dataplex, Looker and Vertex AI under one roof.
Governance built in
Access, lineage and quality controls from the first pipeline.
Predictable costs
Workload-aware pricing choices backed by FinOps practices.
FAQ
BigQuery and data modernization questions answered.
What teams ask most before modernizing their data warehouse.
Why migrate our data warehouse to BigQuery?
BigQuery is serverless and scales automatically, separates storage from compute, and connects directly to Looker, BigQuery ML and Vertex AI, which removes most infrastructure management.
Can you migrate from Teradata or Oracle to BigQuery?
Yes. We migrate Teradata, Netezza, Oracle, SQL Server, Snowflake, Redshift and Hadoop using automated SQL translation plus manual review of complex logic.
How do you keep BigQuery costs under control?
Through partitioning and clustering, the right pricing edition, reservations, query governance and regular cost reviews.
Will our existing reports keep working?
We run old and new platforms in parallel, reconcile results and re-point dashboards so business users move over without disruption.
BigQuery Consulting
Ready to modernize your data warehouse on BigQuery?
Get a data modernization assessment with a target architecture, migration plan and cost estimate for BigQuery.
Book a Data Assessment