Montreal College of Information Technology
Collège des technologies de l’information de Montréal English flagEN FlagFR


Introduction to Big Data and Applications

With 2.5 quintillion bytes of data being produced by humans every day, 95% of businesses citing the need to manage unstructured data as a problem for their business and 97.2% of organizations investing in big data & AI, there’s a necessity to understand what big data and its applications along with related tools.

This course is aimed at enabling you to understand what big data is beginning form its 4Vs and learn distributed computing, Hadoop ecosystem, structured & unstructured data. Also, you shall learn to how big data landscape is changing and impacting your business with real-world use cases. Even more, you get to implement abstract data pipelines to execute ETL process on sample dataset after designing schema, ER diagrams to understand the development life cycle.

Flexible Schedule

Mornings | Evenings | Weekends

Who Should Apply

Software Developers
BI Developers
Big Data Developers
Business Analysts (with Python programing background)


- Familiarity with any programming language - data types, control flow statements, OOPs.

Abilities acquired after course completion

Knowing the Big Data landscape.

Understanding 4Vs of Big Data in a real-world application

Designing a scalable and fault tolerant data store

Extracting Twitter data & making it structured

Understanding GTFS input API schema & designing a data model

Generate an ER diagram by defining relations in GTFS data model

Create an abstract data pipeline to execute ETL on GTFS


    • Understanding Distributed Computing, - how it helps & hurts
    • Data generation
    • Structured data
    • Unstructured data
    • Data Models
    • Understanding schema of data sets
    • Querying relational databases
    • ​History of Hadoop
    • Big Data project development life cycle
    • ​Understanding job market
    • Understanding job role of a data engineer



    You shall receive a certification of completion from MCIT towards the end of this course.


    • Taught by Industry Experts as instructors
    • Discount on Certification Program
    • Eligible to claim tax credit up to 25% of course fees
    • 24*7 Lab Virtual Desktop access
    • Evening and Weekend schedule
    • Vendor Authorized Training



    After completing my diploma in business intelligence at Montreal College, I was able to land my first job at Bell Canada, where I am currently working with the Intelligence & Analytics team.

    Abdulla Alkhuzai — BI Student
    • Introduction to Big Data and Applications
    • Introduction to Big Data and Applications
    • Introduction to Big Data and Applications
    • Introduction to Big Data and Applications
    • Introduction to Big Data and Applications

    Montreal College
    of Information Technology

    Collège des TI de Montréal

    110-1255 Robert-Bourassa Blvd.
    Montreal, Quebec H3B 3V8

    +1 514-312-2383
    .(JavaScript must be enabled to view this email address)