Auldhouse Anywhere

Auldhouse Anywhere

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Data Engineering on Google Cloud Platform

Code:
GCPDE
Days:
4 Days
Price:
$3,400 excl GST
Code:
GCPDE
Days:
4 Days
Price:
$3,400 excl GST
Overview:
This four-day instructor-led class provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and carry out machine learning. The course covers structured, unstructured, and streaming data.
Download Course Outline
Course Outline (PDF)

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

Target 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

Prerequisites:

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

  • Completed Google Cloud Fundamentals: Big Data & Machine Learning course 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 as Python                  
  • Familiarity with Machine Learning and/or statistics

Register now for this course

Please take special note of the course prerequisites as it is important that you meet these requirements before attending the course. If you have any questions about dates or locations please dont hesitate to make an enquiry contact us on 0800 835 835.

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