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Access 20+ free products for common use cases, including AI APIs, VMs, data warehouses, and more.

Explore data analytics in Google Cloud

Read documentation and Cloud Architecture Center articles about data analytics products, capabilities, and procedures.

Introduction to Big‍Query

Learn how BigQuery helps organizations to get insights into their data.open_in_new

Data and analytics resources

Plan your approach with Architecture Center resources across a variety of data and analytics topics.open_in_new

Jump Start Solution: Analytics lakehouse

Plan how to design an analytics lakehouse to store, process, and activate data.open_in_new

Training, blog articles, and more

Go to training courses, blog articles, and other related resources.

Data analyst learning path

Study Google Cloud technologies essential to the data analyst role.open_in_new

BI and analytics with Looker learning path

Study how to explore data in Looker and set up self-serve analytics for your users.open_in_new

Decision tree for data and analytics workloads

Choose the services to run your data and analytics workloads.open_in_new

Data analytics products by use case

Expand sections or use the filter to find products and guides for typical use cases.

Use a serverless, cost-effective, and multi-cloud data and AI platform designed to help you turn big data into valuable business insights powered by Gemini.

Understand your data using a fully managed, highly scalable data platform with built-in machine learning (ML).

Get business intelligence in real time, built on governed data, that offers repeatable analysis and inspires in-depth understanding of the data.

Maximize your data analysis investments when running analytic queries on large datasets.
Access, analyze, and act on an up-to-date, trusted version of your data.
Tell great data stories to support better business decisions.

Manage the end-to-end data lifecycle and make it easier to manage, discover, govern, and share data and AI assets.

Enable intelligent data management with unified metadata and governance and security policies.
Share data and insights at scale across organizational boundaries with a robust security and privacy framework.
Unify distributed data, automate data management and governance, and enable data discovery and quality checks across various Google Cloud and third party sources.
Discover and redact sensitive data.
Discover and understand your data using a fully managed and scalable data discovery and metadata management service.

Ingest, transform, and load data from disparate data sources in a scalable and secure fashion, and build end-to-end orchestration for the enterprise.

Automate data ingestion at scale into BigQuery without writing code, on a scheduled or ad hoc basis.
Create, schedule, monitor, and manage workflows using a fully managed orchestration service built on Apache Airflow.
Quickly build and manage data pipelines using fully managed, code-free data integration with a graphical interface.
Get an end-to-end experience that helps data teams build, version control, and orchestrate SQL pipelines in BigQuery.
Use a serverless and easy-to-use change data capture (CDC) and replication service for real-time data ingestion.
Transfer data between Cloud Storage services such as AWS S3 and Cloud Storage.
Ship large volumes of data to Google Cloud using rackable storage.

Migrate your lakehouse or warehouse to BigQuery with easy to use tools powered by Gemini that assist in every phase of migration.

Learn about general concepts and a framework that you can use to organize and structure your migration to BigQuery.
Learn about the BigQuery Migration Service, which is a comprehensive solution for migrating your data warehouse or lakehouse to BigQuery.

Empower your data journey, from robust batch processing using managed Apache Spark and Apache Hadoop, to dynamic real-time stream processing with serverless, scalable pipelines using Apache Beam.

Develop real-time batch and streaming data processing pipelines.
Perform batch processing, querying, and streaming using a managed Apache Spark and Apache Hadoop service.
Use Dataproc Serverless to run Apache Spark batch workloads without provisioning and managing your own cluster.

Ingest, process, and analyze event streams in real time, and generate actionable, real-time insights.

Develop real-time batch and streaming data processing pipelines.
Use a managed cloud service that lets you ingest Apache Kafka streams directly into Google Cloud.
Ingest event streams from anywhere, at any scale.

Seamlessly integrate the power of generative AI and machine learning directly within your data to unlock deeper insights.

Build and train machine learning (ML) models directly using SQL queries.
Deploy and manage complete machine learning (ML) pipelines.
Use AI-powered assistance to help you work with your data in BigQuery.
Get AI-powered assistance to help you work with your data in Looker.

Build and use generative AI using a fully managed, unified AI development platform.
Get indexed blockchain data made available through BigQuery for easy analysis through SQL.
Get reference architectures, packaged solution deployment content, and integration services to kickstart your data and AI cloud journey.
Learn about Google Earth Engine, which is a geospatial processing service. With Earth Engine, you can perform geospatial processing at scale, powered by Google Cloud.
Use an end-to-end solution that delivers scalable and seamless connectivity between the factory floor and the cloud.