About this Course
4.5
2,698 ratings
333 reviews

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, 5-7 hours/week...

English

Subtitles: English

Skills you will gain

Google Cloud DataprocApplication Programming Interfaces (API)Machine Learning

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, 5-7 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
2 hours to complete

Module 1: Introduction to Cloud Dataproc

...
16 videos (Total 52 min), 2 quizzes
16 videos
Introducing Cloud Dataproc1m
Defining unstructured data?4m
Deriving value from unstructured data7m
Approaches to working with Big Data4m
MapReduce and Hadoop origins5m
On prem Hadoop has a lot of overhead1m
Cloud Dataproc versus Hadoop alternatives2m
Creating a Dataproc cluster4m
Dataproc customization3m
Dataproc and the CLI40s
Lab 1: Overview11s
Lab 1: Demo and Review7m
Custom Machine Types3m
Preemptible VMs3m
Wrap up41s
1 practice exercise
Module 1 Quiz4m
3 hours to complete

Module 2: Running Dataproc jobs

...
13 videos (Total 51 min), 2 readings, 3 quizzes
13 videos
Methods for submitting jobs1m
Lab 2 Overview1m
Lab 2: Demo and Review11m
Separation of Storage and Compute6m
Evolution of data processing5m
The importance of networking in data processing3m
Separating storage and compute with Spark1m
Submitting Spark jobs3m
Overview of Spark concepts2m
Lab Overview45s
Lab 3: Demo and Review8m
Module Wrap Up18s
2 readings
Cloud Dataproc Storage Services10m
Cloud Dataproc Automation Features10m
1 practice exercise
Module 2 Quiz2m
3 hours to complete

Module 3: Leveraging GCP

...
10 videos (Total 37 min), 3 readings, 3 quizzes
10 videos
BigQuery Support8m
Lab 4: Overview31s
Lab 4: Demo and Review4m
Cluster customization4m
Installing software on a Dataproc7m
Lab 5: Overview17s
Lab 5: Demo and Review8m
Wrap up58s
Review19s
3 readings
Using Cloud Functions for Data Processing10m
Cloud Dataproc to BigQuery Connectors10m
Cloud Dataproc Workflow Animation10m
1 practice exercise
Module 3 Quiz2m
1 hour to complete

Module 4: Analyzing Unstructured Data

...
7 videos (Total 24 min), 2 quizzes
7 videos
A closer look at Machine Learning3m
Examples of applied ML3m
Natural Language Processing close-up2m
Lab 6: Overview1m
Lab 6: Demo and Review10m
Wrap up16s
1 practice exercise
Module 4 Quiz2m
4.5
333 ReviewsChevron Right

40%

started a new career after completing these courses

36%

got a tangible career benefit from this course

17%

got a pay increase or promotion

Top Reviews

By RWApr 23rd 2019

The course has introduced me to hadoop tools. I have learned how easy it is to setup a hadoop cluster using Dataproc. Will sure look for cases that have implemented hadoop and replicate on GCP.

By CPDec 29th 2017

Really enjoyed it, woudl have liked to spend more time with the APIs and integrate with real time web downloads. There are a few bugs and misprints, but wasn't too hard to find them.

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 on Google Cloud Platform Specialization

>>>Look for details below for COMPLETION CHALLENGE, receive up to $150 in Qwiklabs credits<<< This five-week, accelerated online specialization provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform. Participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and carry out machine learning. Looking to make a career change? Upon completion of this Specialization, you’ll have the opportunity to share your information directly with Google and Publicis [more partners coming soon] to be considered for open hiring opportunities. 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 COMPLETION CHALLENGE For every course you complete before May 5, 2019, we will send you 30 Qwiklabs credits (upto $150 USD value)! >>> 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 on Google Cloud Platform

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