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Data Engineering with Google BigQuery & Google Cloud

CPD Accredited Course

  • Calendar 0 Students
  • Calendar 1 Year
  • calendar Intermediate
  • clock 6 hours, 19 minutes

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Overview

Google BigQuery and Google Cloud have revolutionised data engineering by providing scalable, serverless, and fully managed solutions. This course offers a comprehensive understanding of data engineering principles with a strong focus on BigQuery, Google Cloud Storage, and other essential GCP services. You will gain insights into data warehousing, ETL processes, and advanced querying techniques.

Through structured theoretical learning, you will explore best practices for handling large-scale datasets, optimising performance, and managing costs effectively. Whether you are new to data engineering or looking to refine your expertise, this course will provide valuable knowledge to build a strong foundation in cloud-based data engineering.

This Data Engineering with Google BigQuery & Google Cloud Course Package Includes

  • Comprehensive lessons and training provided by experts on Data Engineering with Google BigQuery & Google Cloud
  • Interactive online learning experience provided by qualified professionals in your convenience
  • 24/7 Access to the course materials and learner assistance
  • Easy accessibility from any smart device (Laptop, Tablet, Smartphone etc.)
  • A happy and handy learning experience for the professionals and students
  • 100% learning satisfaction, guaranteed by Compliance Central

Learning Outcomes

By completing this course, you will:
  • Understand core data engineering principles and practices.
  • Learn how Google BigQuery enables efficient data analysis.
  • Explore data ingestion and transformation techniques on Google Cloud.
  • Gain insights into data warehouse architecture and optimisation.
  • Understand how to design scalable ETL pipelines.
  • Learn cost management strategies within Google Cloud.
  • Explore security and access control in data engineering.
  • Understand how to integrate Google Cloud services for data processing.

Course Description of Data Engineering with Google BigQuery & Google Cloud

This course provides in-depth theoretical knowledge on data engineering using Google BigQuery and Google Cloud. It covers key topics such as data modelling, data warehousing, ETL workflows, and query optimisation. You will explore how to manage structured and semi-structured data effectively while understanding the principles behind large-scale cloud computing solutions.

The course also examines security best practices, compliance considerations, and cost-efficiency strategies in Google Cloud. By learning core concepts, you will develop a clear understanding of how data is processed, stored, and queried in a cloud environment. This theoretical foundation is essential for professionals looking to enhance their expertise in data engineering with Google Cloud.

Who is this Course For

  • Aspiring data engineers looking to build cloud expertise.
  • Data analysts seeking to transition into data engineering.
  • IT professionals exploring cloud-based data solutions.
  • Business intelligence professionals wanting to deepen data engineering knowledge.
  • Cloud computing enthusiasts eager to understand Google Cloud data services.
  • Students and graduates aiming to specialise in cloud data engineering.
  • Software engineers seeking to enhance their data processing skills.
  • Technical managers overseeing data-driven projects.
  • Professionals preparing for Google Cloud certifications.
  • Anyone interested in learning the theoretical foundations of data engineering.

Certification

You can instantly download your certificate for free right after finishing the Data Engineering with Google BigQuery & Google Cloud course. The hard copy of the certification will also be sent right at your doorstep via post for £9.99. All of our courses are continually reviewed to ensure their quality, and that provide appropriate current training for your chosen subject. As such, although certificates do not expire, it is recommended that they are reviewed or renewed on an annual basis.

Career Path of Data Engineering with Google BigQuery & Google Cloud

This course lays a strong theoretical foundation for roles such as Data Engineer, Cloud Data Engineer, Data Architect, and Big Data Consultant. It also prepares professionals for advanced certifications in Google Cloud. By mastering these concepts, learners can pursue careers in cloud-based data management, analytics, and infrastructure design.

Course Currilcum

    • 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
    • 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
    • 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
    • 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
    • Module 01: BigQuery View 00:06:00
    • 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
    • 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
    • Order Your CPD Certificate 00:00:00
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Student Reviews

Ben lim

Gaining improve knowledge in the construction project management and the course is easy to understand.

Mr Brian Joseph Keenan

Very good and informative and quick with marking my assignments and issuing my certificate.

Sarah D

Being a support worker I needed add a child care cert in my portfolio. I have done the course and that was really a good course.

Sam Ryder

The first aid course was very informative with well organised curriculum. I already have some bit and pieces knowledge of first aid, this course helped me a lot.

Ben lim

Gaining improve knowledge in the construction project management and the course is easy to understand.

Thelma Gittens

Highly recommended. The module is easy to understand and definitely the best value for money. Many thanks

BF Carey

First course with Compliance Central. It was a good experience.

Course Currilcum

    • 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
    • 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
    • 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
    • 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
    • Module 01: BigQuery View 00:06:00
    • 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
    • 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
    • Order Your CPD Certificate 00:00:00

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