Google Cloud provides the most powerful serverless data analytics stack in the cloud, anchored by BigQuery, a serverless data warehouse that analyzes petabytes of data in seconds without infrastructure management. Combined with Dataflow for stream and batch processing, Looker for...
ZTABS builds data analytics with Google Cloud — delivering production-grade solutions backed by 500+ projects and 10+ years of experience. Google Cloud provides the most powerful serverless data analytics stack in the cloud, anchored by BigQuery, a serverless data warehouse that analyzes petabytes of data in seconds without infrastructure management. Combined with Dataflow for stream and batch processing, Looker for business intelligence, and Pub/Sub for real-time data ingestion, Google Cloud enables organizations to go from raw data to actionable insights faster than any competing platform. Get a free consultation →
500+
Projects Delivered
4.9/5
Client Rating
10+
Years Experience
Google Cloud is a proven choice for data analytics. Our team has delivered hundreds of data analytics projects with Google Cloud, and the results speak for themselves.
Google Cloud provides the most powerful serverless data analytics stack in the cloud, anchored by BigQuery, a serverless data warehouse that analyzes petabytes of data in seconds without infrastructure management. Combined with Dataflow for stream and batch processing, Looker for business intelligence, and Pub/Sub for real-time data ingestion, Google Cloud enables organizations to go from raw data to actionable insights faster than any competing platform. BigQuery ML lets analysts build ML models using SQL, democratizing machine learning for data teams.
Query petabytes of data in seconds with no infrastructure to manage. Pay only for the data scanned. Automatic scaling handles any query complexity or concurrency.
Build, train, and deploy ML models using SQL statements directly in BigQuery. Data analysts create predictive models without learning Python or TensorFlow.
Pub/Sub ingests millions of events per second. Dataflow processes streams in real time. BigQuery streaming inserts make data queryable within seconds of arrival.
Looker provides a semantic modeling layer (LookML) that ensures consistent metric definitions across the organization. Self-service dashboards let business users explore data independently.
Building data analytics with Google Cloud?
Our team has delivered hundreds of Google Cloud projects. Talk to a senior engineer today.
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Use BigQuery partitioned and clustered tables to reduce query costs by up to 90% by scanning only the relevant data segments.
Google Cloud has become the go-to choice for data analytics because it balances developer productivity with production performance. The ecosystem maturity means fewer custom solutions and faster time-to-market.
| Layer | Tool |
|---|---|
| Warehouse | BigQuery |
| Processing | Dataflow / Dataproc |
| Ingestion | Pub/Sub / Datastream |
| BI | Looker / Looker Studio |
| Orchestration | Cloud Composer (Airflow) |
| Governance | Data Catalog / Dataplex |
A Google Cloud data analytics platform ingests data from multiple sources. Pub/Sub captures real-time event streams from applications, IoT devices, and third-party APIs. Datastream replicates data from operational databases (PostgreSQL, MySQL, Oracle) into BigQuery in near real-time.
Dataflow processes both streaming and batch data with Apache Beam pipelines, handling transformations, enrichments, and aggregations. All processed data lands in BigQuery, organized by datasets with table-level and column-level access controls. BigQuery ML enables analysts to build forecasting models, customer segmentation, and anomaly detection using familiar SQL syntax.
Looker connects to BigQuery with a semantic layer (LookML) that defines business metrics consistently. Self-service dashboards and scheduled reports deliver insights to stakeholders. Cloud Composer orchestrates the entire pipeline with dependency management and retry logic.
Our senior Google Cloud engineers have delivered 500+ projects. Get a free consultation with a technical architect.