Tag: Python Programming

Google Cloud: Creating Dataproc Cluster Using Google Cloud and Running a Pyspark Job

Description This hands-on lab introduces how to use Google Cloud Storage as the primary input and output location for Dataproc cluster jobs. Leveraging GCS over the Hadoop Distributed File System (HDFS) allows us to treat clusters as ephemeral entities, so we can delete clusters that are no longer in use, while still preserving our data. […]

Google Cloud: Introduction to Container Registry

Overview Google Container Registry is a private container image registry that runs on Google Cloud’s reliable, fast, and secure infrastructure. You can access Container Registry through secure HTTPS endpoints, which allow you to push, pull, and manage images from any system, VM instance, or your own hardware. Additionally, you can use the Docker credential helper command-line tool […]

Google Cloud: Python Integration — Working with Storage Bucket and Jupyter Notebook

Introduction In this article, we will be learning how to use the Python Library for Google Cloud. We will be using Python Library for Google Cloud Storage and few lines of python code to upload a sample image file in our storage bucket. Feel free to use any type of file for the upload. We will […]

Google Cloud: Introduction to Cloud Run

What is a GCP Cloud Run? Cloud Run is a GCP service provided which allows you to run your stateless HTTP containers without worrying about the provisioning of machines. In Cloud Run, you begin from a “container image” to a fully managed application which auto-scales with requests using a single command. You only pay when […]

Google Cloud: Introduction to App Engine

What is Google App Engine? App Engine is a PAAS Service (Platform as a Service). It implies that you just deploy your code, and this service does everything else for you. For instance, if your application turns out to be successful, App Engine will spin up more instances to deal with the increased volume. Google […]

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