Google Cloud Big Data and Machine Learning Blog

After Quick, Draw! has captured over a billion doodles, a dataset of 50 million drawings is now available in BigQuery and Cloud Datastore.

Learn how to use App Engine and Cloud Dataflow jobs to analyze a data stream of tweets, then store them in BigQuery.

Cloud Video Intelligence and Cloud Natural Language Content Classification are now generally available.

GIPHY's Director of Engineering explains how GIPHY uses Cloud Vision and NLP APIs to create better machine learning-derived captions for their GIFs.

BigQuery now includes new security-focused features, including the Cloud Key Management Service, beta custom roles for IAM, and sorting options.

Try out Apps Script on a Google Sheet populated with a Kaggle Dataset: interpret with Cloud Natural Language, and visualize the output in DataStudio.

BigQuery lets you devise and apply a robust machine learning strategy to your data, using Dataprep, ML Engine, Dataflow, and Datalab.

BigQuery permits you to separate storage from compute, allowing you to scale both independently. Learn the advantages to keeping your data serverless.

Google Cloud provides managed services for Apache Spark and TensorFlow, called Cloud Dataproc and Cloud ML Engine, respectively. Learn how they integrate.

Learn to apply machine learning to your data at Cloud OnAir: The Journey from Big Data to AI, an online event comprising of a series of webinars, Q&As.

BigQuery Transfer Service, newly available, allows you to ship data to BigQuery within 24 hours of arrival, according to the Data Delivery SLA.

Build better conversational experiences with Dialogflow and Chatbase, for voice or text chatbots.

How to train TensorFlow models in the cloud on rendered images of the objects you plan to recognize on embedded IoT vision systems.

How to integrate SAP HANA and BigQuery using Apache Beam and Cloud Dataflow, with examples including a Wikipedia dataset.

Explore the new UI improvements and the addition of scheduling and sampling to Cloud Dataprep.

Explore international patent data through new datasets accessible in BigQuery. You can try out some example queries, or integrate ours with your own data.

In addition to DataStudio, you can use Bokeh to build robust data visualization dashboards on BigQuery. Check out our tutorial and sample datasets.

Access the US Forest Service FIA dataset, enhanced and newly available in BigQuery. Get to know your forests through data analysis.

Two Sigma, Google Cloud customer, is announcing the Halite II challenge to build and compete with an AI bot to win a space exploration game.

Streamline your log-based notifications with Stackdriver, and build a BigQuery-based solution faster by intelligently processing your logs.

Try out sample code using BigQuery, Datalab, and TensorFlow. Put samples to work with a signal estimator, a punctuation tool, and a captioning tool.

Cloud Dataproc helps you manage clusters running Spark and Hadoop. Granular IAM, scheduled deletion, and per-second billing streamline your process.

Learn basic linear algebra and how to use TensorFlow to detect hand-poses for the game Rock, Paper, Scissors.

Separation of compute and state is an extension of the separation of storage and compute. See how to use BigQuery and Cloud Dataflow to improve efficiency.

Keras on BigQuery allows robust tag suggestion on Stack Overflow posts. Learn how to train a classifier model on a dataset of real Stack Overflow posts.