BigQuery at Shivacha
Google's serverless data warehouse.
Overview
BigQuery provides serverless, scalable analytics with SQL. We build analytics platforms, ML features and blockchain datasets on BigQuery.
Why we use it
- Serverless
- Scales to petabytes
- Built-in ML
- Public datasets
How we use it
BigQuery in our engineering work
Analytics
Enterprise reporting.
ML features
In-warehouse modelling.
On-chain data
Blockchain datasets.
Services
Services that use BigQuery
AI Data Solutions
Data engineering for AI: pipelines, warehouses, feature stores, vector indexes and governance that make AI systems accurate.
Learn moreBlockchain Data Services
Blockchain data engineering — extraction, normalisation, enrichment and delivery of on-chain data for any use case.
Learn moreGoogle Cloud Development
Build on Google Cloud — GKE, Cloud Run, BigQuery, AI services, networking and security architecture.
Learn moreMachine Learning Development
Custom machine learning models for prediction, scoring, forecasting and recommendation, deployed and monitored with MLOps.
Learn moreNLP Development
Natural language processing for classification, entity extraction, sentiment, search and multilingual text understanding.
Learn moreComputer Vision Development
Computer vision systems for inspection, detection, recognition and visual analytics — from cloud APIs to edge devices.
Learn moreProducts
Products built with BigQuery
Pairs well with
What we combine with BigQuery
Relational, document, search and analytical data stores.
Build with BigQuery.
Tell us about your project, or the engineers you need, and we will propose an approach.