Serverless Data Analysis with Big Query on Google's Cloud (Udemy.com)
The Third Course in a Series for Attaining the Google Certified Data Engineer
Created by: Mike West
Last updated July 2017
What you will learn
- At the end of this course you'll understand serverless data analysis and architecture.
- At the end of this course you'll be one third of the way there, course wise, in preparing for the Google Certified Data Engineering Exam.
- You'll be able to import data sets and use SQL to explore them with BigQuery.
- When you've completed the course you'll be able to explain in detail why BigQuery is the fastest data warehouse in the world.
How it compares
Against the other 150 rated Udemy courses in Hadoop on CourseDuck:
- Rating4.0 out of 5higher than 18% of them
- Reviews125#108 of 151 by number of reviews
- Length1.2 hoursshorter than 94% of them
- Last updatedJuly 2017earlier than 88% of them
Course Description
Welcome to Serverless Data Analysis with Big Query on Google's Cloud This is the second course in a series of courses designed to help you attain the coveted Google Certified Data Engineer.
Additionally, the series of courses is going to show you the role of the data engineer on the Google Cloud Platform.
At this juncture the Google Certified Data Engineer is the only real world certification for data and machine learning engineers.
Note: This is not a programmers course on BigQuery. The goal of this course and the entire series of courses is to provide students with the foundation of the services you'll need to know for the Google Certified Data Engineering Exam.
Because SQL is a prerequisite for the course this course is mostly lecture. Don't let that lull to sleep though, this service is heavily covered on the exam.
BigQuery is Google's fully managed, petabyte scale, low cost enterprise data warehouse for analytics. BigQuery is serverless. There is no infrastructure to manage and you don't need a database administrator, so you can focus on analyzing data to find meaningful insights using familiar SQL.
We are in a data revolution. Data used to be viewed as a simple necessity and lower on the totem pole. Now it is more widely recognized as the source of truth. As we move into more complex systems of data management, the role of the data engineer becomes extremely important as a bridge between the DBA, developer and the data consumer. Beyond the ubiquitous spreadsheet, graduating from RDBMS (which will always have a place in the data stack), we now work with NoSQL and Big Data technologies.
Most cloud computing vendors are moving to a serverless architecture. What's serverless? Serverless is about abstracting users away from servers, infrastructure, and having to deal with low-level configuration or the core operating system. Instead, developers make use of single purpose services to execute code.
Imagine for a second being able to upload data into a storage bucket and then run SQL like queries against it. Many data analysts call this the grail to data analysis. With BigQuery, that's exactly what you do. There's no spinning up or configuring anything. You upload data in the form of a csv or json file and an query against it. I don't mean a hundred thousand rows. I mean a billion.
*Five Reasons to take this Course.*
1) You Want to be a Data Engineer
It's the number one job in the world. (not just within the computer space) The growth potential career wise is second to none. You want the freedom to move anywhere you'd like. You want to be compensated for your efforts. You want to be able to work remotely. The list of benefits goes on.
2) The Google Certified Data Engineer
Google is always ahead of the game. If you were to look back at at timeline of their accomplishments in the data space you might believe they have a crystal ball. They've been a decade ahead of everyone. Now, they are the first and the only cloud vendor to have a data engineering certification. With their track record I'll go with Google.
3) The Growth of Data is Insane
Ninety percent of all the world's data has been created in the last two years. Business around the world generate approximately 450 billions transactions a day. The amount of data collected by all organizations is approximately 2.5 Exabytes a day. That number doubles every month.
4) The Data Revolution is Here
We are in a data revolution. Data used to be viewed as a simple necessity and lower on the totem pole. Now it is more widely recognized as the source of truth. As we move into more complex systems of data management, the role of the data engineer becomes extremely important as a bridge between the DBA and the data consumer.
5) You want to be ahead of the Curve
The data engineer role is fairly new. While your learning, building your skills and becoming certified you are also the first to be part of this burgeoning field. You know that the first to be certified means the first to be hired and first to receive the top compensation package.
Thank you for your interest in Serverless Data Analysis with Big Query on Google's Cloud and we will see you in the course!!
Instructor Details
- 4.0 Rating
125 Reviews
Mike West
I'm the founder of LogikBot. I've worked at Microsoft and Uber. I helped design courses for Microsoft's Data Science Certifications. If you're interested in machine learning, I can help.
I've worked with databases for over two decades. I've worked for or consulted with over 50 different companies as a full time employee or consultant. Fortune 500 as well as several small to mid-size companies. Some include: Georgia Pacific, SunTrust, Reed Construction Data, Building Systems Design, NetCertainty, The Home Shopping Network, SwingVote, Atlanta Gas and Light and Northrup Grumman.
Over the last five years I've transitioned to the exciting world of applied machine learning. I'm excited to show you what I've learned and help you move into one of the single most important fields in this space.
Experience, education and passion
I learn something almost every day. I work with insanely smart people. I'm a voracious learner of all things SQL Server and I'm passionate about sharing what I've learned. My area of concentration is performance tuning. SQL Server is like an exotic sports car, it will run just fine in anyone's hands but put it in the hands of skilled tuner and it will perform like a race car.
Certifications
More courses by Mike West
An Introduction to Machine Learning for Data Engineers (2025)
4.5 (5,395 Reviews)
Provider: Udemy
Time: 1.2h
$14.99
The Top 5 Machine Learning Libraries in Python (2025)
4.6 (4,607 Reviews)
Provider: Udemy
Time: 1.7h
Free
How To Begin Your Career As a SQL Server DBA (2018)
4.1 (3,156 Reviews)
Provider: Udemy
Time: 1.9h
$13.99
An Introduction to Google Cloud Platform for Data Engineers (2021)
4.6 (2,266 Reviews)
Provider: Udemy
Time: 3h
$69.99
Advanced SQL Server Transaction Log Analysis (2017)
4.6 (1,347 Reviews)
Provider: Udemy
Time: 48 mins
$54.99
Mastering the Basics of SQL Server Query Optimization (2016)
4.2 (1,153 Reviews)
Provider: Udemy
Time: 1.3h
$54.99
More Hadoop courses
Spark Streaming - Stream Processing in Lakehouse - PySpark (2024)
4.9 (2,251 Reviews)
Provider: Udemy
Time: 22.4h
$11.99
Apache Kafka Series - KSQL on ksqlDB for Stream Processing ! (2026)
4.9 (2,161 Reviews)
Provider: Udemy
Time: 4h
$12.99
Apache Kafka Series - Kafka Streams for Data Processing (2026)
4.8 (6,826 Reviews)
Provider: Udemy
Time: 4.8h
$14.99
Apache Kafka Series - Confluent Schema Registry & REST Proxy (2026)
4.8 (3,794 Reviews)
Provider: Udemy
Time: 4.5h
$94.99
Apache Kafka - Real-time Stream Processing (Master Class) (2023)
4.8 (2,925 Reviews)
Provider: Udemy
Time: 11h
$10.99
Apache Spark 3 & Big Data Essentials in Scala (2024)
4.8 (2,302 Reviews)
Provider: Udemy
Time: 7.3h
$39.99
Reviews
By Martin Kunz on 3/26/2020
I would have liked more examples/further discussion on moving data in and out of big query. May be outdated as did not address BI Engine, Reservation, Transfers.
By Conroy Chan on 3/13/2019
A good intro to the topic. But to pass the exam you need to dive much deeper to every single piece of detail, including troubleshooting and choosing the best option out of several possible options.
By Rashid on 1/29/2019
Issue playing Sec 7.2 and 7.10 and many others giving up on section 3 until i get a resolution i have tried different pcs and browsers same flash issue error message ...This "resolved" its self and I was able to continue through the course. But I am afraid this one was a little bit rushed. But I got enough out of it to write simple queries and build from there. It does help to know SQL first.
By Sergio Ruiz on 1/20/2019
Básico, da lo que promete. Los subtítulos en inglés están incorporados fonéticamente, así que las palabras no suelen corresponder con la locución.
By Pavan Chakka on 12/7/2018
Average Experience with real world more content missing
By Lucas Carvalho Antonio on 11/7/2018
Podiam existir legendas na minha língua. Ou já que não temos, as legendas em inglês podiam não ser automáticas com vários erros. Podia ser um pouco mais lento também.
By James O'Reilly on 8/2/2018
a great overview of BQ with clear explanations on how to structure the query.. more importantly highlights some of the SQL constraints .. thanks Mike..
By Kenneth Hensley on 8/2/2018
Mike West is clear and concise. You leave a message and it's returned right away. You can tell he likes teaching and is interested in the subject material. You get a lot here for your money.
By Valentina Kibuyaga on 10/14/2017
This course increased my knowledge of Big Query. Specifically, I enjoyed the details that the instructor provides especially when he completes a "show-and-tell" example, by showing the actual service in the console. As well, the details for the query portion were very helpful. He explained all the code including the functionality for each clause. Mike is very engaging and explains everything well. I am looking forward to the next course.
By Julie Johnson on 8/26/2017
Another Excellent course from an Brilliant Instructor.Really well explained, and precisely the right amount of information.Mark provide a clear and concise explanations, have deep subject knowledge Google Cloud.
Quality Score
No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.
Overall Score : 80 / 100












