BigQuery is Google Cloud's serverless data warehouse and one of the strongest analytics platforms on the market.
BigQuery is Google Cloud's serverless data warehouse and one of the strongest analytics platforms on the market. System Strats designs and implements BigQuery-based analytics pipelines that consolidate data from across your business into a single analytics layer.
BigQuery data warehouse design
ETL and ingestion pipelines
Dataform or dbt transformation layer
Cost optimization for queries and storage
We audit the current GCP environment, usage patterns, and costs, then identify the highest-impact improvements.
We design project, billing, and IAM structure that supports your actual teams and workloads, and implement it through infrastructure as code.
We right-size resources, set up committed use discounts where appropriate, and implement budget and query cost monitoring.
We handle day-two operations, monitoring, security updates, and cost governance as part of ongoing engagements.
We work on GCP for real production workloads across data analytics, compute, and Kubernetes, and we know where the platform's real strengths and sharp edges live. We are honest about when GCP is the right choice and when another cloud would fit better.
Common questions about Google Cloud BigQuery & Data Analytics, and how System Strats can help.
If you have data from multiple sources you want to analyze together, and you want a serverless solution without managing infrastructure, yes. It scales from small projects to petabyte-scale workloads.
Storage is cheap; queries are charged by data scanned unless you use reserved slots. We optimize queries and storage to keep costs predictable and low.
Yes. BigQuery connects natively with Looker Studio, Looker, Tableau, Power BI, and most other BI tools.
Yes. We build ingestion pipelines from databases, SaaS tools, and file sources using Dataflow, Fivetran, Airbyte, or custom solutions depending on the stack.
Tell us about your project and we'll get back to you within 24 hours.