Partner Logo Our Logo

AI-ready data with BigQuery

Get Started

BigQuery

Scale your analytics from gigabytes to petabytes in seconds with Google BigQuery, a fully managed serverless warehouse that completely eliminates infrastructure maintenance.

Learn more Try for free

Serverless Architecture: How It Works?

BigQuery uses an architecture that completely separates compute from storage.

1. Storage Data is stored independently, securely and durably.
2. Compute BigQuery dynamically allocates compute resources to execute SQL queries.
3. The Benefit You pay separately for storage and only for the compute you actually use.
Learn more

Your trusted Google Cloud Partner for building a modern, scalable data foundation with BigQuery.

We don’t just deliver licenses — we build your path to data maturity.

Kazakhstan Azerbaijan Georgia Armenia Uzbekistan Moldova Eastern Europe

Why Choose Elcore?

While traditional IT distributors merely transact licenses, Elcore acts as your architectural ally and local support anchor. We bridge the gap between global Google Cloud infrastructure and local business realities by offering:

01

Localized Billing & Compliance: 

Seamless transactions tailored to your regional financial frameworks.

02

Certified Local Expertise: 

Multi-lingual, certified cloud architects ready to assist your team.

03

End-to-End Enablement: 

From technical training to post-deployment support, ensuring your team actually adopts and thrives with the technology.

Here is how we support your journey:

  • Custom Proof of Concept (PoC) 
  • Strategic Cloud Audit
  • Unlock Gemini AI Potential 
  • Seamless Migration Services 
  • Cost Optimization & ROI 
Here is how we support your journey:

How to Implement BigQuery in Your Business

01

Marketing Analytics

Modern marketing departments are flooded with data from Google Ads, Meta, TikTok, GA4, and offline CRMs. BigQuery acts as your Single Source of Truth.

View use cases

Marketing Analytics

BigQuery Use Cases:
Multi-Channel Attribution: Merge cross-platform ad spend and user behavior to see exactly which campaigns drive ROI. Predictive Audience Segmenting: Use BigQuery ML to analyze past purchase behaviors and predict customer lifetime value (LTV) or high-propensity buyers for targeted, cost-effective ad campaigns.
02

HR & People Analytics

Human Resources is no longer about gut feelings—it’s about strategic, data-driven decisions.

View use cases

HR & People Analytics

BigQuery Use Cases:
Predictive Churn Modeling:  Analyze employee engagement, tenure, compensation, and performance data to flag high-value team members at risk of leaving. Recruitment Funnel Optimization:  Track which hiring channels yield the highest-performing, longest-tenured employees, and optimize your recruitment budget accordingly.

Machine Learning on Standard SQL

You don’t need to learn Python or deploy complex Data Science environments to build predictive models.

With BigQuery ML, you can create and execute machine learning models directly using standard SQL queries.

01

SQL Query

Use the SQL skills and data your team already has.

02

BigQuery ML

Create and train machine learning models directly in BigQuery.

03

Prediction

Turn your data into forecasts, segments, and actionable predictions.

Linear Regression K-means Time Series Forecasting

The Power Combo: BigQuery + Looker

Connect enterprise-scale analytics with business intelligence — and turn complex data into decisions your teams can act on.

Data & Analytics

BigQuery

Centralize, process, and analyze massive datasets at scale with Google Cloud's enterprise data warehouse.

Business Intelligence

Looker

Transform complex data into clear dashboards, reports, and actionable insights for teams across your business.

From raw data → to clear insights → to better business decisions
Elcore Recommendation Combine BigQuery + Looker into one end-to-end analytics ecosystem — from raw data to business-ready insights.
Get a Free PoC

Try it, test it, launch it – all at zero cost.

TRY OUT the technology

We’ll give you access to the tools so you can see how they work firsthand with Google Cloud Skills Boost Learning for up to 1,000 users with access to 980+ Google authored labs and courses available in 10+ languages

Schedule a NO-COST hands-on lab

Full day virtual instructor-led generative AI training sessions training, coaching and collaboration designed for all proficiency levels and delivered by Google Cloud experts

Start  NO-COST Pilot / Poc

Experience the full capabilities of the platform in your own environment with zero financial risk or commitment.

Success stories of our clients

More insights

Sign up for a free trial today

FAQ

BigQuery pricing is split into storage and compute:
• Storage: You pay for the amount of data stored per month.
• Compute: You pay either per query (on-demand) or via flat-rate / capacity-based pricing (slots).
This model ensures you only pay for actual usage, not idle infrastructure.

• On-Demand: Pay per TB scanned by each query. Best for unpredictable or ad-hoc workloads.
• Flat-Rate (Slots): Reserve dedicated compute capacity. Best for predictable, high-volume analytics and cost control.
We help customers select and optimize the right model based on query patterns.

Yes. With GA4 Streaming Export, Pub/Sub, or Dataflow, BigQuery can ingest and analyze data within seconds to minutes, enabling near real-time dashboards and alerts.

BigQuery is secure by design:
• Data is encrypted at rest and in transit by default
• Fine-grained IAM access control
• Column- and row-level security
• Support for CMEK (customer-managed encryption keys)
It complies with major standards such as ISO, SOC, and GDPR.

In most cases, yes. BigQuery is commonly used to replace or consolidate:
• On-premise warehouses
• Legacy systems (Teradata, Oracle, Netezza)
• Other cloud warehouses
It removes infrastructure management while scaling automatically.

BigQuery is designed to work with petabyte-scale datasets. Thanks to its distributed execution engine, query performance remains fast even as data volumes grow exponentially.

Yes.
• Analysts can use standard SQL
• BI tools (Looker, Tableau, Power BI) connect natively
• Gemini AI can assist with query generation, optimization, and insights
This significantly lowers the barrier for business teams.

Common use cases include:
• Marketing & GA4 analytics
• Product analytics and funnels
• Financial reporting
• Real-time dashboards
• Machine learning and forecasting
• Central enterprise data warehouse

Yes. BigQuery ML allows you to train and run ML models directly in SQL:
• Regression models
• Classification
• Clustering
• Time-series forecasting
No separate ML infrastructure is required.

You can start in hours, not weeks:
• Enable BigQuery
• Connect data sources (GA4, CRM, databases)
• Run SQL immediately
Our PoC engagements typically deliver value within 1–2 weeks.