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Learn how to make a genuine difference in your life by taking our popular Data Engineering with Google BigQuery & Google Cloud Course. Our commitment to online learning and our technical experience has been put to excellent use within the content of these educational modules. By enrolling today, you can take your knowledge of Data Engineering with Google BigQuery & Google Cloud to a whole new level and quickly reap the rewards of your study in the field you have chosen.
We are confident that you will find the skills and information that you will need to succeed in this area and excel in the eyes of others. Do not rely on substandard training or half-hearted education. Commit to the best, and we will help you reach your full potential whenever and wherever you need us.
Please note that Data Engineering with Google BigQuery & Google Cloud provides valuable and significant theoretical training for all. However, it does not offer official qualifications for professional practice. Always check details with the appropriate authorities or management.
By completing the training in Data Engineering with Google BigQuery & Google Cloud, you will be able to significantly demonstrate your acquired abilities and knowledge of Data Engineering with Google BigQuery & Google Cloud. This can give you an advantage in career progression, job applications, and personal mastery in this area.
This course is designed to provide an introduction to Data Engineering with Google BigQuery & Google Cloud and offers an excellent way to gain the vital skills and confidence to start a successful career. It also provides access to proven educational knowledge about the subject and will support those wanting to attain personal goals in this area. Full-time and part-time learners are equally supported, and the study periods are entirely customisable to your needs.
Once you have completed all the modules in the Data Engineering with Google BigQuery & Google Cloud course, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards.
Show off Your New Skills with a Certification of Completion
The learners have to successfully complete the assessment of this Data Engineering with Google BigQuery & Google Cloud course to achieve the CPD accredited certificate. Digital certificates can be ordered for only £10. Learners can purchase printed hard copies inside the UK for £29, and international students can purchase printed hard copies for £39.
| 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 | 00:05:00 | ||
| 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 | ||
| 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 | 00:05:00 | ||
| 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 | ||

