Author: Google Cloud

Feed: Google Cloud Platform Blog. Author: GCP Team. By Kirill Tropin, Product Manager Hey, LA — the day has arrived! The Los Angeles Google Cloud Platform region is officially open for business. You can now store data and build highly available, performant applications in Southern California. Los Angeles Mayor Eric Garcetti said it best: “Los Angeles is a global hub for fashion, music, entertainment, aerospace, and more—and technology is essential to strengthening our status as a center of invention and creativity. We are excited that Google Cloud has chosen Los Angeles to provide infrastructure and technology solutions to our businesses ... Read More

Feed: Google Cloud Big Data and Machine Learning Blog. Author: Google Cloud Big Data and Machine Learning Blog Team. By Julien Phalip, Solutions Architect Instance metadata is a powerful feature in Google Cloud Platform’s Compute Engine. Each Compute Engine instance comes with several metadata values that are set by default to provide useful information like the machine type, SSH keys, service accounts, tags, zones, and more. Cloud Dataproc also sets special metadata values for the instances that run in its clusters, for example: Metadata key Description dataproc-bucket Name of the cluster’s staging bucket dataproc-region Region of the cluster’s endpoint dataproc-worker-count Number ... Read More

Feed: Google Cloud Platform Blog. Author: GCP Team. By Mete Atamel, Developer Advocate I use my Google Home all the time to check the weather before leaving home, set up alarms, listen to music, but I never considered writing an app for it. What does it take to write an app for the Google Home assistant? And can we make it smarter by leveraging Google Cloud? Those were the questions that my colleague Chris Bacon, and I were thinking about when we decided to build a demo for a conference talk. My initial instinct was that building an app for ... Read More

Feed: Google Cloud Platform Blog. Author: GCP Team. By Ed Anuff, Director of Product and Strategy, Apigee Whether it's delivering new experiences through mobile apps, building a platform to power a partner ecosystem, or modernizing IT systems, virtually every modern business uses APIs (application programming interfaces). Google Cloud’s Apigee API platform helps enterprises adapt by giving them control and visibility into the APIs that connect applications and data across the enterprise and across clouds. It enables organizations to deliver connected experiences, create operational efficiencies, and unlock the power of their data. As enterprise API programs gain traction, organizations are looking ... Read More

Feed: Google Cloud Platform Blog. Author: GCP Team. By Brett Hesterberg, Product Manager and Alexis Guajardo, Senior Software EngineerWhen was the last time you verified a database backup? If that question causes you to break into a cold sweat, rest assured you’re not alone.Verifying backups should be a common practice, but it often isn’t. This can be an issue if there’s a disaster or—as is more likely at most companies—if someone makes a mistake when deploying database changes. One industry survey indicates that data loss is one of the biggest risks when making database changes. PostgreSQL Page Verification Tool At ... Read More

Feed: Google Cloud Big Data and Machine Learning Blog. Author: Google Cloud Big Data and Machine Learning Blog Team. Innovation in data processing and machine learning technology 6 must-see sessions on the Internet of Things (IoT) at Next ‘18 Wednesday, July 11, 2018 By ​Arun Ananthampalayam, Product Marketing Manager, Cloud IoT The Internet of Things (IoT) brings the impact of cloud computing to a variety of remote devices. This year we’re offering 18 IoT-oriented sessions on topics ranging from building a better asset tracking system to deploying a predictive maintenance solution using Google Cloud Platform. If you’re joining us at Next, ... Read More

Feed: Google Cloud Big Data and Machine Learning Blog. Author: Google Cloud Big Data and Machine Learning Blog Team. Innovation in data processing and machine learning technology Measuring patent claim breadth using Google Patents Public Datasets Tuesday, July 10, 2018 By Otto Stegmaier, Data Scientist, Global Patents Last fall, we released the Google Patents Public Datasets on BigQuery. These datasets include a collection of publicly accessible, connected database tables that enable empirical analysis of the international patent system. This post is a tutorial on how to use that data, along with Apache Beam, Cloud Dataflow, TensorFlow, and Cloud ML Engine to ... Read More

Feed: Google Cloud Big Data and Machine Learning Blog. Author: Google Cloud Big Data and Machine Learning Blog Team. Innovation in data processing and machine learning technology 7 must-see sessions on data analytics at Next ‘18 Wednesday, July 11, 2018 By Saptarshi Mukherjee, Product Marketing Lead, Data analytics & IoT From understanding Wikipedia pageview data to determining patent coverage from both private and public patent datasets, big data has proved essential to solving numerous interesting, large-scale problems. This year at Next ‘18, we’re offering more than 60 sessions on topics ranging from data warehousing to data visualization to streaming data ... Read More

Feed: Google Cloud Platform Blog. Author: GCP Team. By Théo Chamley, Solutions ArchitectKubernetes Engine is a great place to run your workloads at scale. But before being able to use Kubernetes, you need to containerize your applications. You can run most applications in a Docker container without too much hassle. However, effectively running those containers in production and streamlining the build process is another story. There are a number of things to watch out for that will make your security and operations teams happier. This post provides tips and best practices to help you effectively build containers. 1. Package a ... Read More

Feed: Google Cloud Big Data and Machine Learning Blog. Author: Google Cloud Big Data and Machine Learning Blog Team. Innovation in data processing and machine learning technology How to train a ResNet image classifier from scratch on TPUs on Cloud ML Engine Tuesday, July 10, 2018 By Lak Lakshmanan, Technical Lead, Machine Learning and Big Data Professional Services Tensor Processing Units (TPUs) are hardware accelerators that greatly speed up the training of deep learning models. In independent tests conducted by Stanford University, the ResNet-50 model trained on a TPU was the fastest (30 minutes) to reach the desired accuracy on the ... Read More