Course information

Big Data for Data Engineering Training ​Course Outline

Module 1: Introduction to Big Data

  • What is Big Data?
  • Types of Big Data
  • Characteristics of Big Data
  • Advantages of Big Data Processing

Module 2: Introduction to Data Engineering

  • What is Data Engineering?
  • What is the Difference Between Data Engineer and Data Scientist?
  • What Does a Data Engineer Do?
  • How to Become a Data Engineer?

Module 3: Big Data Platform Blueprint

  • Ingest
  • Analyse/Process
  • Store
  • Display

Module 4: Developing a Big Data Strategy

  • Steps to Develop a Big Data Strategy
  • Steps for Implementing a Big Data Solution

Module 5: ETL Data Pipeline

  • What is ETL?
  • NoSQL Stores
  • Data Warehouse
  • What are Data Marts?
  • Types of Data Marts
  • OLAP and OLAP Cubes

Module 6: File I/O Processing and Regular Expressions

  • File I/O Processing
  • Regular Expressions

Module 7: Data Visualisation

  • Business Intelligence Tools
  • Identity and Device Management
  • How to Use Web servers to Display Content?

Module 8: Hadoop

  • What is Hadoop?
  • Advantages of Hadoop
  • Hadoop Ecosystem
  • Hortonworks Data Platform

 

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Who should attend this Big Data for Data Engineering Training Course?

The Big Data for Data Engineering Course is specifically tailored for Data Engineers, Software Engineers, and other professionals diving into the vast world of Big Data. The following are the other professionals who can benefit from this course:

  • Data Engineers
  • Data Scientists
  • Software Developers
  • System Administrators
  • Business Analysts
  • DevOps Engineers
  • Project Managers

Prerequisites of the Big Data for Data Engineering Training Course

There are no formal prerequisites for Big Data for Data Engineering Course, but a basic understanding of Big Data concepts can be beneficial.

Big Data for Data Engineering Training ​Course Overview

Big data is a set of data that is large in size and still expanding exponentially with time. The utilisation of big data enables businesses to monitor different consumer-related trends and patterns. Big data engineers communicate with huge data by processing databases in wide-large scale computing environments. It provides organisations with analyses that assist them in evaluating performance, predicting future moves and market trends, and recognising market demographics to support business growth. Adding Big Data skills for Data Engineering in learners' profiles will surely help them climb the ladder of success in value and career opportunities.

Our 1-day Big Data for Data Engineering Training course aims to provide delegates with a comprehensive knowledge of big data and data engineering. During this course, delegates will learn about the key difference between data engineers and data scientists. They will also learn about various essential topics such as characteristics of big data, working with data engineers, ETL data pipeline, PostgreSQL DB, business intelligence tools, Hortonworks data platform, and many more. Our highly professional trainer with years of experience in teaching such courses will conduct this training course and will help you get a complete understanding of big data engineering.

This training will also cover the following concepts:

  • Advantages of big data processing
  • How to become a data engineer?
  • Steps to develop a big data strategy
  • Types of data marts
  • NoSQL stores
  • NodeRED
  • Hadoop ecosystem

At the end of this Big Data for Data Engineering Training course, delegates will be able to develop a big data strategy and implement big data solutions properly. They will also be able to use various webservers to display content effectively and efficiently.

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What’s included in this Big Data for Data Engineering Training Course?

  • World-Class Training Sessions from Experienced Instructors 
  • Big Data for Data Engineering Certificate 
  • Digital Delegate Pack

Why choose us

Our Montreal 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.

Montreal is the largest city in the province of Quebec and is the 9th largest city in the whole of the continent of North America. The city is named after the hill in the heart on the city called Mount Royal. It has and estimated population of roughly 1.65 million people. Education in Canada is mostly free and publicly funded. It is overseen by the federal, provincial and local governments, with the education within provincial jurisdiction and the curriculum overseen by the province. Education is compulsory in most provinces up to the age of 16. Parents can choose between sending their children to one of the public schools or they can sent them to a fee paying private school. Those who live in Montreal and find that picking a secondary school is a fraught decision involving school zones and ratings. Royal West Academy is one of the most prestigious schools in Montreal. It is a public Anglophone secondary school that performs excellently academically. Royal West Academy is part of the English Montreal School Board. The schools mission is to provide a structured environment for those who are committed to academic study. They offer top computer training courses and have an appreciation for the arts, social issues and community responsibilities. To enter this school students must pass an entrance exam due to the limit places that are available. Canada’s higher has a very good reputation. However there is no formal ranking system and students will often choose colleges and universities bases on geographic convenience and the reputation of a particular course. Montreal has the highest concentration of post-secondary students of all major cities in North America. There are 4 universities, seven degree awarding institutions and 12 CEGEPS (publicly funded pre‑university college in the province of Quebec) in a 5 mile radius. The University of Montreal is the second largest research university in the country. It is ranked 115th in the world and is the 5th highest ranked Canadian university in the world rankings. The university is affiliated with two other higher education institutions in the area; the École Polytechnique de Montréal (School of Engineering) and HEC Montréal (School of Business). The school of business is widely regarded as being one of the best business schools in Canada. The University of Montreal is a Francophone institute which means the lessons are taught predominantly in French.

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Address

Regus,
2001 University Street, Suite 1700
Montreal
Quebec
H3A 2A6

T: +1 6474932992

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Big Data For Data Engineering Training | Big Data For Data Engineering Course in Montreal. 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 Big Data For Data Engineering Training | Big Data For Data Engineering Course in Montreal, 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

Big Data For Data Engineering Training | Big Data For Data Engineering Course in Montreal FAQs

Big Data is a set of data that is large in size and still expanding exponentially with time. The usage of big data enables businesses to monitor different consumer-related trends and patterns.
In this Big Data for Data Engineering Training course, there are no formal prerequisites.
This Big Data for Data Engineering Training is designed for anyone who wants to gain in-depth knowledge about big data and wants to begin a career in data engineering.
Volume, variety, velocity, value, and veracity are the five V’s for building big data for a large business.
Big Data Engineer communicate with huge data processing databases and systems in wide-scale environments of computing. It provides organisations with analyses that assist them in evaluating performance, predicting future moves and market trends, and recognising market demographics.
Database systems, data warehousing solutions, ETL tools, machine learning, data APIs, knowledge of algorithms and data structures are the skills needed for becoming a data engineer.
This Big Data for Data Engineering Training course aims to provide you with a comprehensive knowledge of big data and data engineer. You will also learn about various essential topics such as working as a data engineer, PostgreSQL DB, ETL data pipeline, business intelligence tools, and many more.
The training fees for Big Data for Data Engineering Trainingin Montreal starts from CAD3395
The Knowledge Academy is the Leading global training provider for Big Data for Data Engineering Training.
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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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