Data Analytics with Google Cloud Platform (Digital M)

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Step-by-step guide to different data movement and processing techniques, using Google Cloud Platform Services Key Features ● Learn the basic concept of Cloud Computing along with different Cloud service provides with their supported Models (IaaS/PaaS/SaaS) ● Learn the basics of Compute Engine, App Engine, Container Engine, Project and Billing setup in the Google Cloud Platform ● Learn how and when to use Cloud DataFlow, Cloud DataProc and Cloud DataPrep ● Build real-time data pipeline to support real-time analytics using Pub/Sub messaging service ● Setting up a fully managed GCP Big Data Cluster using Cloud DataProc for running Apache Spark and Apache Hadoop clusters in a simpler, more cost…