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Data Engineering on Google Cloud Platform

Learn how to design and build data processing systems.

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.

GK# 5975 Vendor# Data Eng GCP

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Live expert-led training for your team or entire organization that can be customized to fit your exact needs.

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Who Should Attend?

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

What You'll Learn

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

Prerequisites

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

Related Certifications

Google Certified Professional Data Engineer