Google Cloud Big Data and Machine Learning Blog

Innovation in data processing and machine learning technology

Registration now open for Google Data Engineer Certification exam in beta

Friday, January 13, 2017

We invite you to take the Google Data Engineer Certification exam. Register by January 31 for a 40% discount.

New codelab: running OpenCV on Google Cloud Dataproc using Apache Spark

Thursday, January 12, 2017

Cloud Dataproc makes it easy to use external libraries, such as OpenCV, for computation and data processing on extremely large datasets

Finding the sentiment-analysis signal in the noise with Google Cloud Dataflow

Wednesday, January 11, 2017

Freedom to focus on computational problems instead of infrastructure pays off for all kinds of machine learning workloads regardless of the algorithm used

Apache Beam graduates from incubation: Try it today on Google Cloud Dataflow

Tuesday, January 10, 2017

Beam is now a Top Level Project at the ASF, and its future looks brighter than ever — including for Google Cloud Dataflow users

How Google Cloud Pub/Sub supports long-running workloads

Thursday, January 5, 2017

Implementing a cost-effective architecture for long-running tasks can be complex; this solution based on Google Cloud Pub/Sub can help.

Google BigQuery concepts for data warehousing pros

Wednesday, January 4, 2017

This new guide helps users map data warehousing concepts and terminology to those used in BigQuery.

New features in the Google Cloud Natural Language API, thanks to your feedback

Tuesday, January 3, 2017

The GA release of Cloud Natural Language API is easier to use, better at recognizing language nuances and adds additional support for Spanish and Japanese

How to classify images with TensorFlow using Google Cloud Machine Learning and Cloud Dataflow

Friday, December 16, 2016

For specialized image-classification use cases, using Cloud Dataflow and Cloud ML makes it easy to train and serve machine-learning models.

Google BigQuery public datasets now include Stack Overflow Q&A

Thursday, December 15, 2016

Exploring hidden trends and relationships in Stack Overflow data is a good lesson in doing SQL analytics with Google BigQuery.

Analyzing NYC biking data with Google BigQuery

Wednesday, December 7, 2016

Using Google BigQuery and date from Citibike, New York's bike share program, Sara uncovers interesting New York City bicycling trends

A top-10 list of Google BigQuery user experiences in 2016

Tuesday, December 6, 2016

Here are our 10 favorite BigQuery stories of 2016, listed in chronological order.

Real-time data visualization and machine learning for London traffic analysis

Tuesday, November 22, 2016

This POC illustrates how even incremental use of machine learning can yield differentiating applications.

Cloud Jobs API: machine learning goes to work on job search and discovery

Tuesday, November 15, 2016

Cloud Jobs API understands the nuances of job titles, descriptions, skills and more and matches job seeker preferences with relevant listings. Learn more.

The evolution of Cloud Natural Language API

Tuesday, November 15, 2016

Announcing general availability of Cloud Natural Language API as well as new feature improvements to the API, including expanded entity recognition.

How to do distributed processing of Landsat data in Python

Wednesday, November 9, 2016

Learn how to process the public Landsat dataset on Cloud Storage in a distributed manner. Then apply this learning to a number of other use cases.

How to connect BigQuery to Microsoft Excel® and other apps with our new ODBC driver

Thursday, November 3, 2016

With BigQuery ODBC drivers, it’s now easier to connect BigQuery to enterprise applications.

A Google SRE explores GitHub reliability with BigQuery

Thursday, October 20, 2016

Data can tell wonderful stories. Here's the story a Site Reliability Engineer (SRE) tells after exlploring GitHub reliability with BigQuery.

BigQuery: introducing powerful new enterprise data warehousing features

Thursday, September 29, 2016

Announcing a BigQuery update that dramatically advances cloud data analytics for large-scale businesses.

Google Cloud Machine Learning: now open to all with new professional services and education programs

Thursday, September 29, 2016

Google Cloud Machine Learning is now publicly available in beta. It empowers businesses to easily train quality machine learning models at a faster rate.

Using BigQuery to Analyze PHP on GitHub

Thursday, September 22, 2016

We use BigQuery and Standard SQL to uncover data about our favorite open-source language and libraries!

Apache Kafka for GCP users: connectors for Pub/Sub, Dataflow and BigQuery

Monday, September 19, 2016

Today, we discuss several connector projects that make Google Cloud Platform services interoperate with Apache Kafka.

Experience Google’s machine learning on your own images, voice and text

Friday, September 16, 2016

Experience the power of Google's machine intelligence on your own images, voice and text with Google Cloud Vision, Speech and Natural Language APIs.

Parsing our #olympics fever with the Cloud Natural Language API and BigQuery

Thursday, September 8, 2016

Can you quantify the emotions generated by the Olympic games? We use Cloud Natural Language API, BigQuery and Twitter Streaming API to find out.

Watch and learn: Google Cloud experts talk about BigQuery, Cloud Dataproc and Cloud Dataflow

Wednesday, September 7, 2016

Announcing three webinars that will introduce you to practical ways to use Google Cloud Platform for analytics and help you navigate our data servers.

Around the world: landmark detection with the Cloud Vision API

Wednesday, September 7, 2016

The landmark detection feature of the Cloud Vision API returns JSON with the name of the landmark, its latitude/longitude coordinates and more. Learn how.

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