Google Cloud Platform

Google Cloud Platform (GCP) is a suite of cloud services used to power products like YouTube and Gmail. It offers tools for computing, storage, machine learning, and more. GCP competes with AWS and Azure and is known for its fast growth and strong position in the cloud market.

Exporting data from Storage to Memorystore using Cloud Dataflow

Recently, I got a chance to do an R&D on a requirement where I would need to read files stored in a Cloud Storage bucket, which would be processed and transformed in the desired format and stored in an in-memory data store, i.e., Memorystore for faster access. Well, honestly, it took several days to figure […]

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Cloud Dataflow: A Unified Model for Batch and Streaming Data Processing

Dataflow is a fully managed service to execute pipelines within the Google Cloud Platform ecosystem. It is a service that is fully dedicated to transforming and enriching data in stream (real-time) and batch (historical) modes. It is a serverless approach where users can focus on programming instead of managing server clusters, can be integrated with

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Triggering Cloud Functions With Cloud Storage in Java

Google Cloud Functions is a serverless execution environment for building and connecting cloud services. With Cloud Functions, you write simple, single-purpose functions that are attached to events emitted from your cloud infrastructure and services. Your function is triggered when an event being watched is fired. Your code executes in a fully managed environment. There is

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Google Deployment Manager: Simplify your Cloud Management

Deployment Manager is an infrastructure deployment service that automates the creation and management of Google Cloud Platform resources like computing, databases, storage and networking. You can write flexible templates and configuration files and use them to create deployments that have a variety of Cloud Platform services, such as Google Cloud Storage, Google Compute Engine, and

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