Description

Gain the solid skills and knowledge to kickstart a successful career and learn from the experts with this step-by-step Data Engineering : Google BigQuery & Google Cloud training course. This Data Engineering : Google BigQuery & Google Cloud course for Consistent Profits has been specially designed to help learners gain a good command of Data Engineering : Google BigQuery & Google Cloud, providing them with a solid foundation of knowledge to understand relevant professionals' job roles.

Through this Data Engineering : Google BigQuery & Google Cloud course, you will gain a theoretical understanding of Data Engineering : Google BigQuery & Google Cloud and others relevant subjects that will increase your employability in this field, help you stand out from the competition, and boost your earning potential in no time.

Not only that, but this Data Engineering : Google BigQuery & Google Cloud training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry.

This course is fully CPD-accredited and broken down into several manageable modules, making it ideal for aspiring professionals.

Learning outcome

Familiar yourself with the recent development and updates of the relevant industry

Know how to use your theoretical knowledge to adapt in any working environment

Get help from our expert tutors anytime you need

Access to course contents that are designed and prepared by industry professionals

Study at your convenient time and from wherever you want

Why should I take this course?

Affordable premium-quality E-learning content, you can learn at your own pace.

You will receive a completion certificate upon completing the course.

Internationally recognized Accredited Qualification will boost up your resume.

You will learn the researched and proven approach adopted by successful people to transform their careers.

You will be able to incorporate various techniques successfully and understand your customers better.

Requirements

No formal qualifications required, anyone from any academic background can take this course.

Access to a computer or digital device with internet connectivity.

Course Curriculum

Unit 01: Introduction
▶	Module 01: Welcome to This Course	🕐 00:01:00
▶	Module 02: How to Get Maximum Value from This Course	🕐 00:06:00
▶	Module 03: Course Structure & Coverage	🕐 00:02:00
▶	Module 04: Technology in This Course	🕐 00:02:00
▶	Module 01: Data Warehouse	🕐 00:07:00
▶	Module 02: Start With BigQuery	🕐 00:05:00
▶	Module 03: BigQuery Web User Interface	🕐 00:04:00
Unit 02: Introducing Data Warehouse & BigQuery
▶	Module 01: First Data	🕐 00:04:00
▶	Module 02: Basic Exploration	🕐 00:16:00
▶	Module 03: Functions	🕐 00:14:00
▶	Module 04: Common Data Types	🕐 00:07:00
▶	Module 05: Different Query	🕐 00:01:00
▶	Module 06: Exploring Common Data Types	🕐 00:25:00
▶	Module 07: Converting Data Types	🕐 00:07:00
Unit 03: First Exploration
▶	Module 01: Data Quality	🕐 00:06:00
▶	Module 02: Clean & Transform	🕐 00:13:00
▶	Module 03: Store Data	🕐 00:06:00
▶	Module 04: Upgrading From Sandbox Account	🕐 00:01:00
▶	Module 05: Clean & Transform With Dataprep	🕐 00:25:00
▶	Module 06: Scheduled Query	🕐 00:04:00
▶	Module 07: Analyze Data	🕐 00:05:00
▶	Module 08: Data Visualization	🕐 00:06:00
Unit 04: Data Flow BasicUnit 05: Diving into BigQuery
▶	Module 01: Essential BigQuery	🕐 00:15:00
▶	Module 02: Load Data into BigQuery (Part 1) - The Basic	🕐 00:36:00
▶	Module 03: Tip: Mock Data	🕐 00:01:00
▶	Module 04: Load Data into BigQuery (Part 2) - Handling Errors	🕐 00:22:00
▶	Module 05: Load Data into BigQuery (Part 3) - Efficient Load	🕐 00:14:00
▶	Module 06: Load Data into BigQuery (Part 4) - From Your Data to BigQuery	🕐 00:23:00
▶	Module 07: Load Data into BigQuery (Part 5) - In Microservice Architecture	🕐 00:20:00
▶	Module 08: Tip: Message Broker Overview	🕐 00:08:00
▶	Module 09: Load Data into BigQuery (Part 6) - Recurring Load	🕐 00:12:00
Unit 06: Virtual Data using View
▶	Module 01: BigQuery View	🕐 00:06:00
Unit 07: Data Visualization
▶	Module 01: What We Will Learn	🕐 00:01:00
▶	Module 02: Google Sheets & BigQuery	🕐 00:10:00
▶	Module 03: Google Data Studio	🕐 00:13:00
Unit 08: Intermediate Query
▶	Module 01: Using Join - Theory	🕐 00:04:00
▶	Module 02: Using Join - Hands On	🕐 00:16:00
▶	Module 03: Union & Intersect	🕐 00:06:00
▶	Module 04: Basic Statistical Functions	🕐 00:05:00

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Data Engineering : Google BigQuery & Google Cloud

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