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.
Mornings | Evenings | Weekends
Big Data Developers
Business Analysts (with Python programing background)
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
You shall receive a certification of completion from MCIT towards the end of this course.
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