Data Engineering on Google Cloud Platform

Description

This four-day instructor-led class provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform.

Course Length

4 days (32 hours)

Language

English and Spanish

Audience

This class is intended for experienced developers who are responsible for managing big data transformations including: - 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

Requirements

To get the most of out of this course, participants should have:

  • Completed Google Cloud Fundamentals: Big Data & Machine Learning OR have equivalent experience
  • Basic proficiency with common query language such as SQL
  • Experience with data modeling, extract, transform, load activities
  • Developing applications using a common programming language such Python
  • Familiarity with Machine Learning and/or statistics

Objectives

This course teaches participants the following skills:

  • Design and build data processing systems on Google Cloud Platform
  • 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
  • Leverage unstructured data using Spark and ML APIs on Cloud Dataproc
  • Enable instant insights from streaming data

Agenda

You can find the complete syllabus on our web page

Created 2 months ago by Extrema Sistemas