Solved end-to-end Google Cloud Projects GCP

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Google Cloud Projects GCP

Build a Scalable Event Based GCP Data Pipeline using DataFlow

In this GCP project, you will learn to build and deploy a fully-managed(serverless) event-driven data pipeline on GCP using services like Cloud Composer, Google Cloud Storage (GCS), Pub-Sub, Cloud Functions, BigQuery, BigTable

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GCP Data Ingestion with SQL using Google Cloud Dataflow

In this GCP Project, you will learn to build a data processing pipeline With Apache Beam, Dataflow & BigQuery on GCP using Yelp Dataset.

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Build an ETL Pipeline for Financial Data Analytics on GCP-IaC

In this GCP Project, you will learn to build an ETL pipeline on Google Cloud Platform to maximize the efficiency of financial data analytics with GCP-IaC.

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GCP Project to Explore Cloud Functions using Python Part 1

In this project we will explore the Cloud Services of GCP such as Cloud Storage, Cloud Engine and PubSub

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GCP Project-Build Pipeline using Dataflow Apache Beam Python

In this GCP Project, you will learn to build a data pipeline using Apache Beam Python on Google Dataflow.

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GCP Project to Learn using BigQuery for Exploring Data

Learn using GCP BigQuery for exploring and preparing data for analysis and transformation of your datasets.

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Deploy an Application to Kubernetes in Google Cloud using GKE

In this Kubernetes Big Data Project, you will automate and deploy an application using Docker, Google Kubernetes Engine (GKE), and Google Cloud Functions.

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Tech Leader | Stanford / Yale University

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Graduate Student at Northwestern University

I am the Director of Data Analytics with over 10+ years of IT experience. I have a background in SQL, Python, and Big Data working with Accenture, IBM, and Infosys. I am looking to enhance my skills in Data Engineering/Science and hoping to find real-world projects fortunately, I came across Project Pro. Project Pro helped me by providing an in-depth explanation of the end-to-end real-world data engineering projects. From data extraction, transformation, and storage up to data visualization. I learned more about Kafka, AWS, NI-FI, and Spark. Thru the help of the knowledge I gained from Project Pro, I was able to do well in the coding exams, interview and helped me land a job at EY. I will recommend every aspiring data professional as well as existing data science/engineer expert to try Project Pro to enhance their knowledge.

Ed Godalle

Director Data Analytics at EY / EY Tech

ProjectPro is an awesome platform that helps me learn much hands-on industrial experience with a step-by-step walkthrough of projects. There are two primary paths to learn: Data Science and Big Data. In each learning path, there are many customized projects with all the details from the beginner to the expert. As a new data science learner, you can just follow these projects to master the important techniques quickly. It is really helpful for both my research and job searching. Hope you can come and join ProjectPro to win a great future for yourself.

Jingwei Li

Graduate Research assistance at Stony Brook University

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Savvy Sahai

Data Science Intern, Capgemini

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Ameeruddin Mohammed

ETL (Abintio) developer at IBM

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Gautam Vermani

Data Consultant at Confidential

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