Course information

Data Engineering with Google Cloud Platform Training Course Outline

Module 1: Google Cloud Dataproc Overview

  • Dataproc Overview
  • Creating and Managing Clusters
  • Custom Machine Types and Preemptible Worker Nodes
  • Scaling and Deleting Clusters
  • Creating Hadoop Clusters with Google Cloud Dataproc

Module 2: Running Dataproc Jobs

  • Running Pig and Hive Jobs
  • Separation of Storage and Compute
  • Running Hadoop and Spark Jobs with Dataproc
  • Submit and Monitor Jobs

Module 3: Integrating Dataproc with Google Cloud Platform

  • Customise Cluster with Initialisation Activities
  • BigQuery Support
  • GCP Services

Module 4: Unstructured Data with Google’s Machine Learning APIs

  • Machine Learning APIs
  • Use Cases of ML
  • Adding Machine Learning Capabilities to Big Data

Module 5: Serverless Data Analysis with BigQuery

  • BigQuery Overview
  • Functions and Queries
  • Writing Queries in BigQuery

Module 6: Serverless, Autoscaling Data Pipelines with Dataflow

  • Beam Programming Model Overview
  • Data Pipelines
  • Writing a Dataflow Pipeline
  • Scalable Big Data Processing Using Beam
  • MapReduce in Dataflow
  • Phases in MapReduce in Dataflow
  • Steps of Dataflow
  • Incorporating Additional Data
  • Side Inputs in Apache Beam
  • Querying Multiple Tables

Module 7: Getting Started with Machine Learning

  • What is Machine Learning (ML)?
  • Types of Machine Learning
  • Explore and Create ML Datasets

Module 8: Building ML Models with TensorFlow

  • Understand TensorFlow
  • TensorFlow Graphs and Loops
  • Use Low-Level TensorFlow
  • Monitoring ML Training
  • Charts and Graphs of TensorFlow

Module 9: Scaling ML Models with CloudML

  • Cloud ML Overview
  • TensorFlow Model
  • Running of ML Model

Module 10: Architecture of Streaming Analytics Pipelines

  • Understand Stream Data Processing
  • Handling Variable Data Volumes
  • Designing a Streaming Pipeline

Module 11: Ingesting Variable Volumes

  • Cloud Pub/Sub Overview
  • Working of Cloud Pub/Sub

Module 12: Implementing Streaming Pipelines

  • Stream Processing Overview
  • Watermark
  • Triggers

Module 13: Streaming Analytics and Dashboards

  • Streaming Analytics Overview
  • Querying Streaming Data with BigQuery
  • Google Data Studio Overview

Module 14: High Throughput and Low-Latency with Bigtable

  • Cloud Spanner Overview
  • Designing Bigtable Schema
  • Ingesting into Bigtable
  • Streaming into Bigtable

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Who should attend this Data Engineering with Google Cloud Platform Course?

The Data Engineering with Google Cloud Platform Training is valuable training for those who want to get better at data management and processing while using Google Cloud Platform Services (GCP). The Data Engineering with Google Cloud Platform Course can benefit professionals such as:

  • Cloud Engineers
  • Data Engineers
  • BI Developers
  • ETL Developers
  • Data Managers
  • Data Architects
  • Big Data Engineers

Prerequisites of the Data Engineering with Google Cloud Platform Course

There are no formal prerequisites for this Data Engineering with Google Cloud Platform Training.

Data Engineering with Google Cloud Platform Course Overview

Data Engineering with Google Cloud Platform is a course of utmost relevance in the realm of technology and data-driven decision-making. Google, known for its innovative approach to global technologies, offers a comprehensive platform for Data Engineering, enabling professionals to collect, transform, and publish data, thereby fostering a data-driven approach to decision-making.

Professionals in the field of Data Engineering, Data Processing, and those aspiring to leverage Google Cloud services should aim to master this subject. It equips them with the knowledge and skills to design, build, secure, and monitor data processing systems, emphasising security, compliance, scalability, efficiency, reliability, and portability. This knowledge is crucial for harnessing the potential of Google's Machine Learning models.

Our 3-day training course, provided by the Knowledge Academy, offers delegates a deep understanding of Google Cloud Platform services for Data Management. They will learn to design and build data processing systems, create autoscaling data pipelines for batch and streaming data, and integrate Dataproc with the Google Cloud Platform. The course also covers the technical aspects of handling unstructured data using Google's Machine Learning APIs and delves into serverless data concepts.

Course Objectives

  • To understand the core concepts of Data Engineering with Google Cloud Platform
  • To learn to design and build data processing systems on the Google Cloud Platform
  • To gain proficiency in creating autoscaling data pipelines for both batch and streaming data using Cloud Dataflow
  • To explore the integration of Dataproc with the Google Cloud Platform for efficient data processing
  • To acquire the technical knowledge needed to work with unstructured data using Google's Machine Learning APIs
  • To develop the skills to design comprehensive data processing systems, construct end-to-end data pipelines, and analyse data and Machine Learning models

Upon course completion, delegates will be well-equipped to design and implement data processing solutions on the Google Cloud Platform, enhancing their career prospects in Data Engineering and Cloud Technology. Additionally, they will have the skills and knowledge to work with unstructured data and leverage Machine Learning models, making them valuable assets for organisations seeking data-driven insights.

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What’s included in this Data Engineering with Google Cloud Platform Course?

  • World-Class Training Sessions from Experienced Instructors
  • Data Engineering with Google Cloud Platform Certificate
  • Digital Delegate Pack

Why choose us

Our Toronto venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Toronto, a city in the Canadian province of Ontario, has an average population of roughly 2,615,000 spread across 243.33 square miles of land – making it the busiest and most populous region in the whole of Canada.  At The Knowledge Academy, we offer 50,000 classroom based training courses throughout the different areas of Toronto, in order to enhance people’s learning in an array of subject areas.  Education in Canada is generally funded by federal, provincial, and local governments; the system is divided into primary, secondary and post-secondary education and is operated under provincial jurisdiction.  On the whole, there are 190 days in a school year, starting in September and ending towards the last Friday of June.  Some popular and highly regarded universities in Canada include: the University of Toronto (notable alumni including: William Lyon Mackenzie King, Vincent Massey, Donald Sutherland and Lesra Martin), the University of British Columbia (notable alumni including: Eddie Peng, Justin Trudeau and Nardwuar the Human Serviette), and the University of Alberta (notable alumni including: Dayo Wong, George Stanley and Beverley McLachlin).  With its massively diverse citizenry and education options, it is hard to solely categorise the formation of its education system; it is also the home site to four publicly funded K12 school boards, a publicly funded religious K12 school board, a range of K12 private and prepatory school and a plethora of other religious, vocational, career and specialist schools.  As French is a commonly spoken language in Canada, there are also a number of public school boards designed for French language students.  Regarding religious schools, there are a number of Christian, Islamic and Jewish schools based in Toronto, all of which offering a slightly different educational system to their students and are tailored to best suit a specific religion.  With non-public schooling in mind, there are also a variety of religious non-public school boards spread throughout Toronto, namely the Board of Jewish Education of Toronto and the Toronto Adventist District School Board.  

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Address

100 King St W,

Toronto,

ON M5X 1A9,

First Canadian Place, 

T: +1 6474932992

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Data Engineering On Google Cloud Platform in Toronto. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Unlock your potential with The Knowledge Academy's Data Engineering On Google Cloud Platform in Toronto, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

Streamline large-scale training requirements with The Knowledge Academy's In-house/Onsite at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

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Tailored learning experience

Leverage benefits offered from a certification that fits your unique business or project needs

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Maximise your training budget

Cut unnecessary costs and focus your entire budget on what really matters, the training.

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Team building opportunity

Our offers a unique chance for your team to bond and engage in discussions, enriching the learning experience beyond traditional classroom settings

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Monitor employees progress

The course know-how will help you track and evaluate your employees' progression and performance with relative ease

What our customers are saying

Data Engineering On Google Cloud Platform in Toronto FAQs

Please arrive at the venue at 8:45am.
There are no formal prerequisites for this course. It would be great if delegates have basic knowledge of managing data and its operations.
This course is designed for IT Professionals and Google Cloud platform learner. This course is also beneficial for who wants to be a certified engineer for this technology.
We are able to provide support via phone & email prior to attending, during and after the course.
Delegate pack consisting of course notes and exercises, Manual, Experienced Instructor, and Refreshments
This course is 3 days.
Once your booking has been placed and confirmed, you will receive an email which contains your course location, course overview, pre-course reading material (if required), course agenda and payment receipts
The training fees for Data Engineering with Google Cloud Platformin Toronto starts from CAD5195
The Knowledge Academy is the Leading global training provider for Data Engineering with Google Cloud Platform.
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Many delivery methods

Flexible delivery methods are available depending on your learning style.

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High quality resources

Resources are included for a comprehensive learning experience.

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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

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