June 06 2021

Introduction to Cloud Data Analytics with Google BigQuery

Introduction to Cloud Data Analytics with Google BigQuery
MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 1.29 GB | Duration: 3h 43m

This course is designed for the students who are at their initial stage or at the bner level in learning the data warehouse, cloud computing data visualization and Analytics.


What you'll learn

Data Studio for Analytics and Visualization

BigQuery User Interface and Key Features

Introduction to Cloud Computing Basics

Introduction Data Warehousing Basics

Google BigQuery Essentials

Loading Datasets to Google BigQuery

Multiple Data Importing Techniques in Google BigQuery

Google Cloud Storage - Buckets

Exporting BigQuery Data in CSV Formats

Exporting BigQuery Data to Google Account

Data Handling

Data Visualisation

Data set Report Generation and Sharing

Requirements

Basic or Little Knowledge of SQL

Existing Google Account

Basics of Computer and Internet Usage

Description

This course focuses on what cloud computing is followed by some essential concepts of data warehousing. It also has practical hands-on lab exercises which covers a major portion of big data importing and perfog some Analytics on the big data.

The ETL tool used is Google BigQuery and analytics is performed using a visual tool known as data studio. The lab portion covers all the essentials of the two platforms starting from importing the datasets, loading it, perfog powerful SQL queries and then analyzing the same data using the visual graphical tools available on DataStudio platform.

Who this course is for:

Bners in Data Visualisation, Data Warehousing

Students at their initial stage of learning BigQuery

Students at their initial stage of learning DataStudio



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