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 set Report Generation and Sharing
Basic or Little Knowledge of SQL
Existing Google Account
Basics of Computer and Internet Usage
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