About this Course
100,140 recent views

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 8 hours to complete

Suggested: 1 week of study, 6-8 hours/week...

English

Subtitles: French, Portuguese (Brazilian), German, English, Spanish, Japanese...

Skills you will gain

BigqueryApache BeamDataflowPublish–Subscribe Pattern

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 8 hours to complete

Suggested: 1 week of study, 6-8 hours/week...

English

Subtitles: French, Portuguese (Brazilian), German, English, Spanish, Japanese...

Syllabus - What you will learn from this course

Week
1
7 minutes to complete

Welcome to Serverless Data Analysis with Google BigQuery and Cloud Dataflow

...
1 video (Total 7 min)
1 video
5 hours to complete

Module 1: Serverless Data Analysis with BigQuery

...
19 videos (Total 123 min), 4 quizzes
19 videos
What is BigQuery?5m
BigQuery Demonstration3m
BigQuery Benefits7m
BigQuery in a Reference Architecture8m
Queries and Functions8m
Subqueries and Multiple Tables3m
Lab - Serverless Data Analysis (Java/Python) : Part 12m
Lab demo and review9m
Load and Export Data2m
Lab demo and review13m
Advanced Capabilities in BigQuery7m
Arrays and Structures6m
Join condition and Window Functions6m
User-defined Functions3m
Lab demo and review14m
Performance and Pricing7m
Wildcard Tables and Partitioning7m
BigQuery Plans and Categories4m
1 practice exercise
Module 1 Quiz4m
8 hours to complete

Module 2: Autoscaling Data Processing Pipelines with Dataflow

...
12 videos (Total 97 min), 7 quizzes
12 videos
Write Data Pipelines in Java and Python9m
Input Output and Run6m
Lab demo and review18m
MapReduce and Parallel Processing11m
GroupBy and Combine7m
Combine vs GroupBy7m
Lab demo and review6m
Side Inputs7m
Lab demo and review10m
Dataflow Templates and Dataprep4m
Resources31s
1 practice exercise
Module 2 Quiz4m
4.5
230 ReviewsChevron Right

29%

started a new career after completing these courses

42%

got a tangible career benefit from this course

26%

got a pay increase or promotion

Top reviews from Serverless Data Analysis with Google BigQuery and Cloud Dataflow

By ELDec 12th 2018

The combination of Java and python is sometimes a bit confusing. Maybe it would be better to split the course in a java and a python version so all the Beam concepts are taught in a single language.

By MHJun 4th 2018

Nice course. Needed options for python codes in the end of the course. In the beginning you had options to look at both python and java, but this were not the case in the later stages.

About Google Cloud

We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success....

About the Data Engineering, Big Data, and Machine Learning on GCP Specialization

This five-week, accelerated online specialization provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and carry out machine learning. The course covers structured, unstructured, and streaming data. This course teaches the following skills: • Design and build data processing systems on Google Cloud Platform • Leverage unstructured data using Spark and ML APIs on Cloud Dataproc • Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow • Derive business insights from extremely large datasets using Google BigQuery • Train, evaluate and predict using machine learning models using Tensorflow and Cloud ML • Enable instant insights from streaming data This class is intended for developers who are responsible for: • Extracting, Loading, Transforming, cleaning, and validating data • Designing pipelines and architectures for data processing • Creating and maintaining machine learning and statistical models • Querying datasets, visualizing query results and creating reports >>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<...
Data Engineering, Big Data, and Machine Learning on GCP

Frequently Asked Questions

  • Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

  • If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

  • Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.

  • If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

  • This course is one of a few offered on Coursera that are currently available only to learners who have paid or received financial aid, when available.

More questions? Visit the Learner Help Center.