Google Cloud Platform, offered by Google, is a suite of cloud computing services. It provides Infrastructure as a Service, Platform as a Service, and serverless computing environments. Alongside a set of management tools, it provides a series of modular cloud services including computing, data storage, data analytics and machine learning.
Creating an Inverted Index of words occurring in a large set of documents extracted from web pages using Hadoop MapReduce and Google Dataproc
Test PoC Project on GCP with Spinnker Deployment Pipelines running on Kubernetes. Technologies Used: Dockerized Angular 7 App with Angular Material in One Kubernetes Cluster. The Angular App has the following features Authentication using OpenID Connect Sign-in with Google - Used OAuth 2.0 option provided by Google API Console Only Logged in use…
A simple java library to use with Google's Vision Api
Users can take or upload any image of a flower and the type of flower is recognised and returned
A POC on the data warehousing solution provided by Google Cloud
Our super awesome Android translation app.
Count the number of times a word occurs in 1GB (Big Data) Dataset of books using hadoop map-reduce
API for checking the safety of content (links and text) vis-a-vis violence, adult, profanity etc
A basic template of a RESTful project using Jersey, Spring, Spring Data JPA and Hibernate. The project is a Google App Engine standard project developed in Eclipse EE. You can easily deploy it in your Google Cloud App Engine.
Created an app with multiple flavors that uses multiple libraries and Google Cloud Endpoints
Determination of which words occur in a dataset of textbooks along with each word's occurrence count identification with the help of Google Cloud Platform based Dataproc cluster formation.
Read step by step tutorial here: https://frazynondo.medium.com/etl-with-gcp-part-i-apache-beam-eclipse-gcs-and-bigquery-dc9529ee7f19
Udacity Android Developer Nanodegree, project 5
Released April 7, 2008