Big data and analytics resources

Last reviewed 2024-04-05 UTC

The Architecture Center provides content resources across a wide variety of big data and analytics subjects.

Big data and analytics resources in the Architecture Center

You can filter the following list of big data and analytics resources by typing a product name or a phrase that's in the resource title or description.

Analyzing FHIR data in BigQuery

Architecture and functions in a data mesh

Architecture: Marketing Data Warehouse

Automatically apply sensitivity tags in Data Catalog to files, databases, and BigQuery tables

Build and visualize demand forecast predictions using Datastream, Dataflow, BigQuery ML, and Looker

Building an ML vision analytics solution with Dataflow and Cloud Vision API

Cloud Monitoring metric export

Continuous data replication to BigQuery using Striim

Continuous data replication to Spanner using Striim

Data analytics design patterns

Data science with R on Google Cloud: Exploratory data analysis

Data transformation between MongoDB Atlas and Google Cloud

De-identification and re-identification of PII in large-scale datasets using Sensitive Data Protection

Example architecture for using a DLP proxy to query a database containing sensitive data

Genomic data processing reference architecture

Geospatial analytics architecture

Import data from an external network into a secured BigQuery data warehouse

Import data from Google Cloud into a secured BigQuery data warehouse

Ingesting clinical and operational data with Cloud Data Fusion

Jump Start Solution: Analytics lakehouse

Jump Start Solution: Data warehouse with BigQuery

Jump Start Solution: Large data sharing Go web app

Jump Start Solution: Large data sharing Java web app

Migrate to Google Cloud

Migrating On-Premises Hadoop Infrastructure to Google Cloud

Optimizing large-scale ingestion of analytics events and logs

Performing ETL from a relational database into BigQuery using Dataflow

Propensity modeling for gaming applications

Security log analytics in Google Cloud

Smart API to predict customer propensity to purchase by using Apigee, BigQuery ML, and Spanner

Tracking provenance and lineage metadata for healthcare data

Transforming and harmonizing healthcare data for BigQuery

Use a CI/CD pipeline for data-processing workflows

Use Apache Hive on Dataproc