Data Engineering on Google Cloud Platform Course Details:

This four-day instructor-led class provides you with 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, you 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.

    Jan 24 2022

    Date: 01/24/2022 - 01/27/2022 (Monday - Thursday) | 9:00 AM - 5:00 PM (EST)
    Location: ONLINE (Virtual Classroom Live)
    Delivery Format: VIRTUAL CLASSROOM LIVE Request Quote & Enroll

    Success! Your message has been sent to us.
    Error! There was an error sending your message.
    REQUEST MORE INFO:

    Data Engineering on Google Cloud Platform

    January 24 - 27, 2022 | 9:00 AM - 5:00 PM (EST) | Virtual Classroom Live


    How Did You Hear of Global IT Training?

    Join Our Email List?


*Please Note: Course Outline is subject to change without notice. Exact course outline will be provided at time of registration.
  • 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
  • Completed Google Cloud Fundamentals- Big Data and Machine Learning course #8325 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

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

Ready to Jumpstart Your IT Career?

CONTACT US NOW!