Data Engineering with Google BigQuery & Google Cloud

Data Engineering with Google BigQuery & Google Cloud

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Overview

By enrolling in the Data Engineering with Google BigQuery & Google Cloud, you will be given access to the very latest online learning techniques and be given full training on this subject. The information contained in the course has been delivered to us by industry professionals and can be relied upon for its authenticity. You will also gain recognised certification after assessment. Students can sign up now for a discounted price, but only for a limited time. 

We take pride in the superiority of our online courses at One Education, and this Data Engineering with Google BigQuery & Google Cloud is no different. The course has been carefully designed to be broken down into modules that provide top quality tuition, but in a way that is intended to be taken at your convenience and pace. Online learning has never been so easy or accessible. 

One Education is determined to deliver courses with a difference in a world that is always changing. When you buy a course from One Education, you will also get unlimited access for the next 12 months and complementary tutorial support. 

You can find peace of mind in the fact that our dedicated instructors will always be available to assist you with any problems or queries that you may have. 

Completing Data Engineering with Google BigQuery & Google Cloud, will result in the availability of an e-certificate that will prove your newly acquired skills and provide essential additions to your CV. 

If you need this knowledge and want to achieve verified qualifications to boost your career potential, it is ideal for reaching your goals and maximising your potential. Please consider joining our community and start to learn everything you need to know about Data Engineering with Google BigQuery & Google Cloud, which One Education proudly presents to you.

Don’t bother looking for hidden fees or extra exam charges… because they’re not there. The payments and results are transparent and honest and stated from the start.

Course design

The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace.

You are taught through a combination of

  • Video lessons
  • Online study materials

Will I receive a certificate of completion?

Upon successful completion, you will qualify for the UK and internationally-recognised certification and you can choose to make your achievement formal by obtaining your PDF Certificate at a cost of £9 and Hard Copy Certificate for £15.

Why study this course

Whether you’re an existing practitioner or aspiring professional, this course will enhance your expertise and boost your CV with key skills and an accredited qualification attesting to your knowledge.

The Data Engineering with Google BigQuery & Google Cloud is open to all, with no formal entry requirements. All you need is a passion for learning, a good understanding of the English language, numeracy and IT, and to be over the age of 16.

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
Unit 02: Introducing Data Warehouse & BigQuery
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 03: First Exploration
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 04: Data Flow Basic
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 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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