Analytics Services

BigQuery Data Warehouse

Google's enterprise data warehouse as your central data lake. Store raw data from GA4, advertising platforms, and business systems with the structure and optimization needed for fast, cost-efficient analysis.

Overview

Beyond GA4's Limitations

GA4 limits data retention to 14 months. BigQuery keeps everything indefinitely. GA4 limits query flexibility. BigQuery supports full SQL analysis. When you need to go beyond what GA4 offers, BigQuery is the answer.

We configure BigQuery as your central data lake - bringing data from multiple platforms into one place where it can be queried, analyzed, and fed into dashboards and AI systems.

What We Configure

BigQuery Capabilities

Data Export Configuration

GA4 streaming/daily exports, Search Console data, ad platform transfers, and custom integrations

Schema Design

Optimized table structures with nested fields, proper data types, and schema evolution planning

Table Partitioning

Time-based partitioning for efficiency, partition expiration, and pruning optimization

Query Development

Custom SQL queries, query optimization, scheduled queries, and parameterized reports

Data Sources

All Your Data in One Place

Google Ecosystem

  • Google Analytics 4 (streaming and daily)
  • Google Search Console
  • Google Ads
  • Google Business Profile

Advertising Platforms

  • Meta (Facebook/Instagram Ads)
  • Microsoft Ads (Bing)
  • Amazon Ads
  • TikTok Ads
  • LinkedIn Ads

Business Systems

  • CRM exports
  • Ecommerce platforms
  • Email marketing platforms
  • Custom application data
Optimization

Fast Queries, Low Costs

BigQuery charges by data scanned. Our optimized table designs minimize bytes scanned through smart partitioning and clustering - directly reducing your query costs while improving performance.

Partitioning Best Practices

  • Partition by date for time-series data
  • Set expiration for non-essential historical data
  • Use partition filters in all queries
  • Consider ingestion-time partitioning for simplicity

Clustering Best Practices

  • Cluster on frequently filtered columns
  • Order cluster columns by filter frequency
  • Limit to 4 cluster columns maximum
  • Re-evaluate as query patterns evolve

Query Optimization

  • Select only needed columns (avoid SELECT *)
  • Use partition filters to limit scan
  • Leverage clustering for efficient filtering
  • Cache results for repeated queries
Performance Optimized

Fast queries, efficient costs

Transparent Pricing

Storage
$0.02/GB/month
Queries
$5/TB scanned (1TB free/month)
Typical Cost
Under $50/month for most businesses
Cost Efficiency

Enterprise Power, Affordable Pricing

BigQuery is enterprise-grade but surprisingly affordable for most businesses. The free tier covers 1TB of queries per month - enough for most small and medium businesses.

Our optimization work directly reduces your ongoing costs by minimizing data scanned in queries. Better table design = lower bills.

Our Process

How We Set Up BigQuery

01

Requirements Gathering

Understand your data sources and analysis needs

02

Architecture Design

Plan table structures, partitioning, and clustering

03

Export Configuration

Set up data transfers from source platforms

04

Schema Implementation

Create optimized table structures

05

Query Development

Build queries for your key analyses

06

Documentation & Training

Enable your team to query and extend

Our Approach

Why We're Different

Performance-First Design: Tables designed with query patterns in mind for faster queries and lower costs
Cost Optimization: Smart partitioning and clustering minimize bytes scanned, directly reducing your costs
Cross-Platform Integration: Data from GA4, Google Ads, Search Console, Meta, and more in one place
Marketing-Focused Schemas: Designed for the queries marketers and analysts actually need
FAQ

Frequently Asked Questions

Ready for Unlimited Data Retention?

Let's discuss how BigQuery can become your central data lake for advanced analytics beyond GA4's limitations.