Data Engineering on Google Cloud Platform (DEGCP)

 

Course Overview

Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hands-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data.

Who should attend

This class is intended for developers who are responsible for:

  • Extracting, loading, transforming, cleaning, and validating data.
  • Designing pipelines and architectures for data processing.
  • Integrating analytics and machine learning capabilities into data pipelines.
  • Querying datasets, visualizing query results, and creating reports.

Certifications

This course is part of the following Certifications:

Prerequisites

To benefit from this course, participants should have completed “Google Cloud Big Data and Machine Learning Fundamentals” or have equivalent experience.

Participants should also have:

  • Basic proficiency with a common query language such as SQL.
  • Experience with data modeling and ETL (extract, transform, load) activities.
  • Experience with developing applications using a common programming language such as Python.
  • Familiarity with machine learning and/or statistics.

Course Objectives

  • Design and build data processing systems on Google Cloud.
  • Process batch and streaming data by implementing autoscaling data pipelines on Dataflow.
  • Derive business insights from extremely large datasets using BigQuery.
  • Leverage unstructured data using Spark and ML APIs on Dataproc.
  • Enable instant insights from streaming data.
  • Understand ML APIs and BigQuery ML, and learn to use AutoML to create powerful models without coding.

Follow On Courses

Prices & Delivery methods

Online Training

Duration
4 days

Price
  • 2,600.— €

Courseware language: English

Classroom Training

Duration
4 days

Price
  • Germany: 2,600.— €
  • Switzerland: CHF 3,380.—

Courseware language: English

Schedule

Instructor-led Online Training:   Course conducted online in a virtual classroom.
FLEX Classroom Training (hybrid course):   Course participation either on-site in the classroom or online from the workplace or from home.

English

Time zone: Central European Summer Time (CEST)   ±1 hour

Online Training
Classroom option: Cairo, Egypt
Time zone: Eastern European Summer Time (EEST)
Online Training Time zone: Central European Summer Time (CEST)
Online Training Time zone: Central European Summer Time (CEST)
Online Training Time zone: Central European Summer Time (CEST)
Online Training
Classroom option: Cairo, Egypt
Time zone: Eastern European Summer Time (EEST)
Online Training Time zone: Central European Time (CET)
Online Training Time zone: Central European Time (CET)

2 hours difference

Online Training
Classroom option: Dubai, United Arab Emirates
Time zone: Gulf Standard Time (GST)
Online Training
Classroom option: Dubai, United Arab Emirates
Time zone: Gulf Standard Time (GST)

3 hours difference

Online Training
Classroom option: Dubai, United Arab Emirates
Time zone: Gulf Standard Time (GST)

6 hours difference

Online Training Time zone: UTC+8
Online Training Time zone: UTC+8
Online Training Time zone: Eastern Standard Time (EST)
Online Training Time zone: Eastern Standard Time (EST)

7 hours difference

Online Training Time zone: Central Daylight Time (CDT)
Online Training Time zone: Central Daylight Time (CDT)
Online Training Time zone: UTC+8

9 hours difference

Online Training Time zone: Pacific Daylight Time (PDT)
Online Training Time zone: Pacific Daylight Time (PDT)
FLEX Classroom Training (hybrid course):   Course participation either on-site in the classroom or online from the workplace or from home.

Germany

Frankfurt
Hamburg
Munich

Switzerland

Zurich
Zurich
Zurich

If you can't find a suitable date, don't forget to check our world-wide FLEX training schedule.