Google Cloud Big Data and Machine Learning Blog

Understanding how BigQuery streaming inserts work makes it easier to build real-time applications.

Learn about graph optimization and Bloom filters in Cloud Dataflow.

With Ads Data Hub, advertisers can access detailed, impression-level data about their cross-device media campaigns in a more secure, privacy-safe environme

Query newly added publicly available healthcare datasets now on Google BigQuery.

Getting started with BigQuery keeps getting easier, and for more people.

There’s a common thread that connects Google services such as Google Search, Street View, Google Photos, Google Translate: they all use Google’s Tensor

Learn how to build an ETL solution for Google BigQuery using Google Cloud Dataflow, Google Cloud Pub/Sub and Google App Engine Cron as building blocks.

Learn the meaning of “exactly once” processing in Dataflow, its importance for stream processing overall and its implementation in streaming shuffle phase

Cloud GPUs are generally available for use with Cloud Machine Learning Engine. See how Airbus and Global Fishing Watch used GPUs.

Learn how to launch Google Cloud Dataflow pipelines from Google App Engine to support MapReduce jobs and other data processing and analytics tasks

Register for the Google Data Engineer Certification

Building BI dashboards on GCP is easy with this simple solution.

Learn five tips for migrating your data warehouse to Google BigQuery.

As demonstrated in this new solution guide, Cloud Dataflow provides flexible serverless infrastructure for machine-learning workloads.

Learn how to analyze web (in Google Analytics 360) and mobile (in Firebase Analytics) data together using BigQuery.

New research suggests that machine learning is more prevalent than you’d think.

This Chrome plugin could inspire you to use Cloud Natural Language API for your own practical projects.

Learn how to connect to a public BigQuery dataset and analyze that data using R.

How Google Wind uses machine learning to predict rain and then orchestrate Dutch windmills accordingly

Global insurance company AXA used machine learning in a POC to optimize pricing by predicting “large-loss” traffic accidents with 78% accuracy.

How Wootric's platform uses Google Cloud Natural Language API to complement its own machine learning to save on infrastructure and engineering costs.

Google Cloud Dataflow is now generally available for Python. Pipelines built using Apache Beam for Python can use Cloud Dataflow's advanced features.

By connecting R to Cloud SQL, you can take advantage of all R features on top of a scalable, fully-managed MySQL service.

Learn how to use Google Stackdriver to monitor, chart and create alerts for Google Cloud Dataflow jobs.

Watch the keynote by Fei-Fei Li, Chief Scientist, Google Cloud AI and ML and explore all session video about data analytics and machine learning