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Data engineering on Google Cloud Platform

Data engineering on Google Cloud Platform


Course description

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.

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


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 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


Duration

4 days (32 hours)

Certificate

Your participation will be acknowledged by a digital certificate that you can add to your LinkedIn profile or other platforms.

Modules

For detailed information on the modules click here.



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