Save for later

Modernizing Data Lakes and Data Warehouses with Google Cloud

Data Engineering, Big Data, and Machine Learning on GCP,

The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment. This is the first course of the Data Engineering on Google Cloud series. After completing this course, enroll in the Building Batch Data Pipelines on Google Cloud course.
Get Details and Enroll Now

OpenCourser is an affiliate partner of Coursera and may earn a commission when you buy through our links.

Get a Reminder

Send to:
Rating 4.3 based on 21 ratings
Length 3 weeks
Starts Jun 26 (47 weeks ago)
Cost $49
From Google Cloud via Coursera
Instructor Google Cloud Training
Download Videos On all desktop and mobile devices
Language English
Subjects IT & Networking Data Science
Tags Cloud Computing Information Technology Data Management

Get a Reminder

Send to:

Similar Courses

What people are saying

made me finish entire

The way course took made me finish entire course with a continuous flow.Kudos to course faculty.

many modules/videos repeat some

Many modules/videos repeat some information on previous topics and add some new information on that topic which gives insight and is valuable but this information is not present in the video about the specific topic.

differences between classic dwh

The course offers a nice description of what modern DWH means, which are the differences between classic DWH and cloud DWH.

quizes however were short

The quizes however were short and not well thoughtful.

given concept at hand

The labs need to be more interactive and show a more diverse set of scenarios for the given concept at hand.

topic which gives insight

it actual works behind

Clustering is still a little confusing in terms of how it actual works behind the scenes, but how implement it and the value it adds in making quires efficient is crystal clear.

making quires efficient

solving these problems

Good introduction and overview of the field of data engineering, data lakes and modern data warehouses and a hands-on walkthrough of all the technologies related to solving these problems on GCP.

given problem within

last lab needs

The last lab needs to have a little more time allocated.

execelente treinamento

good Execelente Treinamento!

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

IT Support Agent @ Google [X] 3 $47k

Google Specialist Contractor $47k

Google Cloud Developer $51k

Google Specialist Manager $54k

Google Cloud Engineer $57k

Google Cloud Architect $70k

Content Specialist for Google Play (@Google) $70k

Google Cloud Platform & Mobile Apps Specialist $75k

Designer at Google $77k

Curriculum Developer, Google Cloud $102k

Head of Scaled Engineering Support, Google Cloud $108k

Head of Alliance Partnerships, Google Cloud Go-to-Market Partnerships $132k

Write a review

Your opinion matters. Tell us what you think.

Rating 4.3 based on 21 ratings
Length 3 weeks
Starts Jun 26 (47 weeks ago)
Cost $49
From Google Cloud via Coursera
Instructor Google Cloud Training
Download Videos On all desktop and mobile devices
Language English
Subjects IT & Networking Data Science
Tags Cloud Computing Information Technology Data Management

Similar Courses

Sorted by relevance

Like this course?

Here's what to do next:

  • Save this course for later
  • Get more details from the course provider
  • Enroll in this course
Enroll Now