Collège de Bois-de-Boulogne

Big Data Instructor

The Collège Bois-de-Boulogne is a public pre-university and vocational college (CEGEP) located on Bois de Boulogne Street in Montreal, Quebec, Canada. It has an enrollment of approximately 2,700 students in 7 pre-university and technical programmes and 4400 participants in adult education and corporate programmes. The staff consists of over 450 people.

Renowned for the excellence of its training, the college offers three courses (beginner to advanced level) that introduce Big Data storage and processing at rest and in motion.

The Big Data  course covers an overview of the various aspects of Big Data and how it is managed both on-premise and in the cloud.

Emphasis is placed on data ingestion to analyzing it, both ‘at rest’ (batch processing) and ‘in motion’ (real-time processing) .

The overall course also covers the characteristics and definition of Big Data by detailing its 5 Vs: Volume, Velocity, Variety, Veracity, and Value.

I was hired to teach (in French) these three courses on Big Data:

  • Level 1 (Info 17) : Big Data Characteristics, Hadoop Ecosystem (hdfs, MapReduce, Pig, Hive, Impala, Sqoop, Flume, Spark, SparkSQL)
  • Level 2 (Info 41) : Advanced Flume, Hive Window Functions, Avro, Parquet, HBase, Solr, Kafka
  • Level 3 (Info 48) : Zeppelin, Spark Streaming, Spark MLlib, Spark GraphX.
Key Details

Role: Big Data Instructor

Date : 2015  –  2019

Duration of a session: 2 – 3 months

Location : Montréal – Canada

Technologies: Ecosystème Apache Hadoop, Ecosystème Apache Spark, Google Cloud Plateforme