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.

Prices & Delivery methods

Online Training

Duration
4 days

Price
  • 3,450.— SGD
Classroom Training

Duration
4 days

Price
  • Singapore: 3,450.— SGD
  • India: US$ 1,500.—

Click on town name or "Online Training" to book Schedule

Asia Pacific

Singapore

Online Training Time zone: UTC+8 Course language: English
Online Training Time zone: UTC+8 Course language: English
Online Training Time zone: UTC+8 Course language: English
Instructor-led Online Training:   This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training.
This is a FLEX course, which is delivered both virtually and in the classroom.