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What you’ll learn
This course teaches participants the following skills:
Identify the purpose and value of the key Big Data and Machine Learning products in Google Cloud
Use Cloud SQL and Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud
Employ BigQuery and Cloud SQL to carry out interactive data analysis
Choose between different data processing products in Google Cloud
Create ML models with BigQuery ML, ML APIs, and AutoML
Google Cloud at DDLS
DDLS is Australia's only national Google Cloud Authorised Training Partner. Get the skills needed to build, test and deploy applications on this highly scalable infrastructure. Engineered to handle the most data-intensive work you can throw at it, DDLS can support you through training wherever you are in your Cloud adoption journey.
From our state-of-the-art classrooms to telepresence to your offices, our instructor-led training caters to your needs.
Track Record
30 years driving innovative, award-winning learning solutions
More Courses, More Often
When you train with DDLS you get more courses, more often, in more locations and from more vendors.
Quality instructors and content
Expert instructors with real world experience and the latest vendor- approved in-depth course content.
Partner-Preferred Supplier
Chosen and awarded by the world’s leading vendors as preferred training partner.
Ahead of the technology curve
No matter your chosen technologies or platforms, we can help you stay one step ahead.
Train Anywhere
From our state-of-the-art classrooms to telepresence to your offices, our instructor-led training caters to your needs.
Track Record
30 years driving innovative, award-winning learning solutions
More Courses, More Often
When you train with DDLS you get more courses, more often, in more locations and from more vendors.
Quality instructors and content
Expert instructors with real world experience and the latest vendor- approved in-depth course content.
Partner-Preferred Supplier
Chosen and awarded by the world’s leading vendors as preferred training partner.
Ahead of the technology curve
No matter your chosen technologies or platforms, we can help you stay one step ahead.
Train Anywhere
From our state-of-the-art classrooms to telepresence to your offices, our instructor-led training caters to your needs.
Track Record
30 years driving innovative, award-winning learning solutions
More Courses, More Often
When you train with DDLS you get more courses, more often, in more locations and from more vendors.
Who is the course for?
This course is intended for the following participants:
Data analysts, Data scientists, Business analysts getting started with Google Cloud
Individuals responsible for designing pipelines and architectures for data processing, creating and maintaining machine learning and statistical models, querying datasets, visualising query results and creating reports
Executives and IT decision makers evaluating Google Cloud for use by data scientists
Course subjects
Module 1: Introduction to Google Cloud
Identify the different aspects of Google Cloud’s infrastructure
Identify the big data and ML products that form Google Cloud
Module 2: Recommending Products Using Cloud SQL and Spark
Review how businesses use recommendation models
Evaluate how and where you will compute and store your housing rental model results
Analyse how running Hadoop in the cloud with Dataproc can enable scale
Evaluate different approaches for storing recommendation data off-cluster
Module 3: Predicting Visitor Purchases Using BigQuery ML
Analyse big data at scale with BigQuery
Learn how BigQuery processes queries and stores data at scale
Walkthrough key ML terms: features, labels, training data
Evaluate the different types of models for structured datasets
Create custom ML models with BigQuery ML
Module 4: Real-time Dashboards with Pub/Sub, Dataflow, and Google Data Studio
Identify modern data pipeline challenges and how to solve them at scale with Dataflow
Design streaming pipelines with Apache Beam
Build collaborative real-time dashboards with Data Studio
Module 5: Deriving Insights from Unstructured Data Using Machine Learning
Evaluate how businesses use unstructured ML models and how the models work
Choose the right approach for machine learning models between pre-built and custom
Create a high-performing custom image classification model with no code using AutoML
Module 6: Summary
Recap of key learning points
Resources
Prerequisites
Roughly one year of experience with one or more of the following:
A common query language such as SQL
Extract, transform, and load activities
Data modelling
Machine learning and/or statistics
Programming in Python
Terms & Conditions
The supply of this course by DDLS is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.
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