Data Engineering on Google Cloud Training

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 4 Days
  • We can host this training at your preferred location. Contact us!
Upcoming Training

09 February 2022

4 Days

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


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

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

  • 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

Day 1: Serverless Data Analysis

  • Module 1: Serverless data analysis with BigQuery
  • Module 2: Serverless, autoscaling data pipelines with Dataflow


Day 2: Leveraging unstructured data

  • Module 3: Google Cloud Dataproc Overview
  • Module 4: Running Dataproc Jobs
  • Module 5: Integrating Dataproc with Google Cloud Platform
  • Module 6: Making Sense of Unstructured Data with Google’s Machine Learning APIs


Day 3: Serverless Machine Learning

  • Module 7: Getting started with Machine Learning
  • Module 8: Building ML models with Tensorflow
  • Module 9: Scaling ML models with CloudML
  • Module 10: Feature Engineering
  • Module 11: ML architectures


Day 4: Resilient streaming systems

  • Module 12: Need for real-time streaming analytics
  • Module 13: Architecture of streaming pipelines
  • Module 14: Stream data and events into PubSub
  • Module 15: Build a stream processing pipeline
  • Module 16: High throughput and low-latency with Bigtable
  • Module 17: Building Dashboards


Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our Istanbul, London and Ankara facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

09 February 2022

Classroom / Virtual Classroom

Istanbul, Ankara, London
01 March 2022

Classroom / Virtual Classroom

Istanbul, Ankara, London
11 March 2022

Classroom / Virtual Classroom

Istanbul, Ankara, London
26 March 2022

Classroom / Virtual Classroom

Istanbul, Ankara, London
16 April 2022

Classroom / Virtual Classroom

Istanbul, Ankara, London
01 November 2022

Classroom / Virtual Classroom

Istanbul, Ankara, London
04 November 2022

Classroom / Virtual Classroom

Istanbul, Ankara, London
10 November 2022

Classroom / Virtual Classroom

Istanbul, Ankara, London

Related Trainings

By using this website you agree to let us use cookies. For further information about our use of cookies, check out our Cookie Policy.