![](https://docs.cloud.google.com/_static/clouddocs/images/icons/categories/data-analytics-color.svg)

# Data analytics

Documentation and resources for unlocking your data's potential and transforming it into actionable AI insights with Google Cloud products.

## Explore data analytics in Google Cloud

Read documentation and Cloud Architecture Center articles about data analytics products, capabilities, and procedures. [](https://docs.cloud.google.com/bigquery/docs/introduction)

### [Introduction to Big‍Query](https://docs.cloud.google.com/bigquery/docs/introduction)

Learn how BigQuery helps organizations to get insights into their data.[](https://docs.cloud.google.com/bigquery/docs/introduction) [](https://docs.cloud.google.com/architecture/big-data-analytics)

### [Data and analytics resources](https://docs.cloud.google.com/architecture/big-data-analytics)

Plan your approach with Architecture Center resources across a variety of data and analytics topics.[](https://docs.cloud.google.com/architecture/big-data-analytics) [](https://docs.cloud.google.com/architecture/big-data-analytics/analytics-lakehouse)

### [Jump Start Solution: Analytics lakehouse](https://docs.cloud.google.com/architecture/big-data-analytics/analytics-lakehouse)

Plan how to design an analytics lakehouse to store, process, and activate data.[](https://docs.cloud.google.com/architecture/big-data-analytics/analytics-lakehouse)

## Training, blog articles, and more

Go to training courses, blog articles, and other related resources. [](https://www.cloudskillsboost.google/paths/18)

### [Data analyst learning path](https://www.cloudskillsboost.google/paths/18)

Study Google Cloud technologies essential to the data analyst role.[](https://www.cloudskillsboost.google/paths/18) [](https://www.cloudskillsboost.google/paths/28)

### [BI and analytics with Looker learning path](https://www.cloudskillsboost.google/paths/28)

Study how to explore data in Looker and set up self-serve analytics for your users.[](https://www.cloudskillsboost.google/paths/28) [](https://g.dev/cloud/gear-docs-dataanalytics)

### [Gemini Enterprise Agent Ready](https://g.dev/cloud/gear-docs-dataanalytics)

Go from prototyping with Gemini to deploying secure, enterprise-grade agents with hands-on training and guidance from Google experts.[](https://g.dev/cloud/gear-docs-dataanalytics) [](https://cloud.google.com/blog/products/data-analytics/decision-tree-for-data-analytics-workloads-on-google-cloud)

### [Decision tree for data and analytics workloads](https://cloud.google.com/blog/products/data-analytics/decision-tree-for-data-analytics-workloads-on-google-cloud)

Choose the services to run your data and analytics workloads.[](https://docs.cloud.google.com/blog/products/data-analytics/decision-tree-for-data-analytics-workloads-on-google-cloud)

## Data analytics products by use case

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

### Data and AI platform


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.
![](https://docs.cloud.google.com/_static/clouddocs/images/icons/categories/data-analytics-color.svg)

#### [BigQuery](https://docs.cloud.google.com/bigquery/docs)

Understand your data using a fully managed, highly scalable data platform with built-in machine learning (ML). ![](https://docs.cloud.google.com/_static/clouddocs/images/icons/categories/data-analytics-color.svg)

#### [Knowledge Catalog](https://docs.cloud.google.com/knowledge-catalog/docs)

Ground agents by providing AI-powered, high-quality context for enterprise data assets.

### Data analysis


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

#### [BigQuery analytics](https://docs.cloud.google.com/bigquery/docs/query-overview)

Maximize your data analysis investments when running analytic queries on large datasets. ![](https://docs.cloud.google.com/_static/clouddocs/images/icons/products/looker-color.svg)

#### [Looker](https://docs.cloud.google.com/looker/docs)

Access, analyze, and act on an up-to-date, trusted version of your data. ![](https://docs.cloud.google.com/_static/clouddocs/images/icons/categories/data-analytics-color.svg)

#### [Data Studio](https://docs.cloud.google.com/data-studio)

Tell great data stories to support better business decisions.

### Data governance and sharing


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

#### [Unified governance in Big‍Query](https://docs.cloud.google.com/bigquery/docs/data-governance)

Enable intelligent data management with unified metadata and governance and security policies.

#### [BigQuery sharing](https://docs.cloud.google.com/bigquery/docs/analytics-hub-introduction)

Share data and insights at scale across organizational boundaries with a robust security and privacy framework. ![](https://docs.cloud.google.com/_static/clouddocs/images/icons/categories/data-analytics-color.svg)

#### [Knowledge Catalog](https://docs.cloud.google.com/knowledge-catalog/docs)

Ground agents by providing AI-powered, high-quality context for enterprise data assets. ![](https://docs.cloud.google.com/_static/clouddocs/images/icons/categories/security-and-identity-color.svg)

#### [Sensitive Data Protection](https://docs.cloud.google.com/sensitive-data-protection/docs)

Discover and redact sensitive data.

### Data integration and orchestration


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

#### [BigQuery Data Transfer Service](https://docs.cloud.google.com/bigquery/docs/dts-introduction)

Automate data ingestion at scale into BigQuery without writing code, on a scheduled or ad hoc basis. ![](https://docs.cloud.google.com/_static/clouddocs/images/icons/categories/data-analytics-color.svg)

#### [Cloud Data Fusion](https://docs.cloud.google.com/data-fusion/docs)

Quickly build and manage data pipelines using fully managed, code-free data integration with a graphical interface. ![](https://docs.cloud.google.com/_static/clouddocs/images/icons/categories/data-analytics-color.svg)

#### [Cloud FTP](https://docs.cloud.google.com/cloud-ftp/overview)

Securely move data in and out of Cloud Storage by using SSH File Transfer Protocol (SFTP). ![](https://docs.cloud.google.com/_static/clouddocs/images/icons/categories/data-analytics-color.svg)

#### [Dataform](https://docs.cloud.google.com/dataform/docs)

Get an end-to-end experience that helps data teams build, version control, and orchestrate SQL pipelines in BigQuery. ![](https://docs.cloud.google.com/_static/clouddocs/images/icons/categories/data-analytics-color.svg)

#### [Datastream](https://docs.cloud.google.com/datastream/docs)

Use a serverless and easy-to-use change data capture (CDC) and replication service for real-time data ingestion. ![](https://docs.cloud.google.com/_static/clouddocs/images/icons/categories/data-analytics-color.svg)

#### [Managed Service for Apache Airflow](https://docs.cloud.google.com/composer/docs)

Create, schedule, monitor, and manage workflows using a fully managed orchestration service built on Apache Airflow. ![](https://docs.cloud.google.com/_static/clouddocs/images/icons/categories/storage-color.svg)

#### [Storage Transfer Service](https://docs.cloud.google.com/storage-transfer/docs/overview)

Transfer data between Cloud Storage services such as AWS S3 and Cloud Storage. ![](https://docs.cloud.google.com/_static/clouddocs/images/icons/categories/migration-color.svg)

#### [Transfer Appliance](https://docs.cloud.google.com/transfer-appliance/docs/4.0/overview)

Ship large volumes of data to Google Cloud using rackable storage.

#### [Orchestration Pipelines](https://docs.cloud.google.com/orchestration-pipelines)

A unified, declarative orchestration and automated deployment framework optimized for seamlessly managing data and AI pipelines on Google Cloud.

### Data lakehouses


Build an open, managed, high-performance lakehouse that provides a single source of truth, eliminating data duplication and ensuring consistent insights.
![](https://docs.cloud.google.com/_static/clouddocs/images/icons/categories/data-analytics-color.svg)

#### [Lakehouse](https://docs.cloud.google.com/lakehouse/docs)

Unite Google Cloud and open source services to create a lakehouse for advanced analytics and AI.

### Data migration


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

#### [Overview: Migrate data warehouses to BigQuery](https://docs.cloud.google.com/bigquery/docs/migration/migration-overview)

Learn about general concepts and a framework that you can use to organize and structure your migration to BigQuery.

#### [BigQuery Migration Service](https://docs.cloud.google.com/bigquery/docs/migration-intro)

Learn about the BigQuery Migration Service, which is a comprehensive solution for migrating your data warehouse or lakehouse to BigQuery.

### Data processing


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.
![](https://docs.cloud.google.com/_static/clouddocs/images/icons/categories/data-analytics-color.svg)

#### [Dataflow](https://docs.cloud.google.com/dataflow/docs)

Develop real-time batch and streaming data processing pipelines. ![](https://docs.cloud.google.com/_static/clouddocs/images/icons/categories/data-analytics-color.svg)

#### [Dataproc Metastore](https://docs.cloud.google.com/dataproc-metastore/docs)

A fully managed Apache Hive metastore (HMS) that runs on Google Cloud. ![](https://docs.cloud.google.com/_static/clouddocs/images/icons/categories/data-analytics-color.svg)

#### [Managed Service for Apache Spark](https://docs.cloud.google.com/managed-spark/docs)

Perform batch processing, querying, and streaming using a managed Apache Spark and Apache Hadoop service.

### Streaming


Ingest, process, and analyze event streams in real time, and generate actionable, real-time insights.
![](https://docs.cloud.google.com/_static/clouddocs/images/icons/categories/data-analytics-color.svg)

#### [Dataflow](https://docs.cloud.google.com/dataflow/docs)

Develop real-time batch and streaming data processing pipelines. ![](https://docs.cloud.google.com/_static/clouddocs/images/icons/categories/data-analytics-color.svg)

#### [Google Cloud Managed Service for Apache Kafka](https://docs.cloud.google.com/managed-service-for-apache-kafka/docs)

Use a managed cloud service that lets you ingest Apache Kafka streams directly into Google Cloud. ![](https://docs.cloud.google.com/_static/clouddocs/images/icons/categories/data-analytics-color.svg)

#### [Pub/Sub](https://docs.cloud.google.com/pubsub/docs)

Ingest event streams from anywhere, at any scale.

### AI and ML


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

#### [BigQuery ML](https://docs.cloud.google.com/bigquery/docs/bqml-introduction)

Build and train machine learning (ML) models directly using SQL queries. ![](https://docs.cloud.google.com/_static/clouddocs/images/icons/categories/data-analytics-color.svg)

#### [Dataflow](https://docs.cloud.google.com/dataflow/docs/machine-learning)

Deploy and manage complete machine learning (ML) pipelines. ![](https://docs.cloud.google.com/_static/clouddocs/images/icons/products/gemini-color.svg)

#### [Gemini in Big‍Query](https://docs.cloud.google.com/gemini/docs/bigquery/overview)

Use AI-powered assistance to help you work with your data in BigQuery. ![](https://docs.cloud.google.com/_static/clouddocs/images/icons/products/gemini-color.svg)

#### [Gemini in Looker](https://docs.cloud.google.com/looker/docs/gemini-overview-looker)

Get AI-powered assistance to help you work with your data in Looker.

#### [Google Cloud Data Agent Kit](https://docs.cloud.google.com/data-agent-kit)

Manage your datasets, run queries, and deploy data pipelines directly from your preferred IDE or CLI. ![](https://docs.cloud.google.com/_static/clouddocs/images/icons/categories/data-analytics-color.svg)

#### [Knowledge Catalog](https://docs.cloud.google.com/knowledge-catalog/docs)

Ground agents by providing AI-powered, high-quality context for enterprise data assets.

### Related products, guides, and sites

![](https://docs.cloud.google.com/_static/clouddocs/images/icons/products/vertex-ai-color.svg)

#### [Vertex AI](https://docs.cloud.google.com/vertex-ai/docs)

Build and use generative AI using a fully managed, unified AI development platform. ![](https://docs.cloud.google.com/_static/clouddocs/images/icons/categories/data-analytics-color.svg)

#### [Blockchain Analytics](https://docs.cloud.google.com/blockchain-analytics/docs)

Get indexed blockchain data made available through BigQuery for easy analysis through SQL. ![](https://docs.cloud.google.com/_static/clouddocs/images/icons/categories/data-analytics-color.svg)

#### [Cortex Framework (open source)](https://docs.cloud.google.com/cortex/docs)

Get reference architectures, packaged solution deployment content, and integration services to kickstart your data and AI cloud journey with open source Cortex Framework.

#### [Earth Engine](https://developers.google.com/earth-engine)

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. ![](https://docs.cloud.google.com/_static/clouddocs/images/icons/categories/data-analytics-color.svg)

#### [Manufacturing Data Engine](https://docs.cloud.google.com/manufacturing-data-engine/docs)

Use an end-to-end solution that delivers scalable and seamless connectivity between the factory floor and the cloud.