The McMaster Continuing Education office will be closed on Friday, April 18 for Good Friday. We will respond to inquiries within 1-2 business days once we re-open on Monday, April 21.
The course will begin with an exploration of MongoDB, which is a document database with scalability and flexibility for queries and indexing. Students will progress to the ELK stack - a technology stack used for logging with different components, such as Elasticsearch, Logstash and Kibana. Elastic search is a NoSQL database which stores data as JSON documents, and it can be used to search large data sets. Kibana is an open-source analytics tool which can be used with Elasticsearch for visualisations. Logstash will be covered as a log management tool. Students also learn how to implement real-time scenarios. A review of different Cloud providers will also be covered. A laptop computer with Minimum 8 GB RAM dedicated on your 64 bit OS (16 GB RAM is strongly recommended for DAT 303), Core i5 CPU, 500 GB storage is required.
Sunday, May 11 - August 17: 9:00 a.m. - 12:00 p.m. (Virtual)
Location:
ONLINE
Instructor:
Pedram Habibi
Notes:
This course is offered as a virtual classroom with classes held, as per the scheduled day/time. Classes will be held online, using a combination of synchronous, real-time, instructor led sessions, supplemented with asynchronous activities. You should expect to attend class at the same time, each week, although not every session will be a full 3 hours of live instruction. Rather, classes will provide learners the opportunity to apply what has been covered by your course facilitator. Laptop computer required; No class May 18, and August 3. Please note registering after the course start date may delay course access and does not permit exceptions to coursework due dates, late textbook purchases, or the refund policy
Instructors
Pedram Habibi
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Pedram Habibi has a BSc in Physics, a Bachelor of Applied Science in Computer and Communication Networking, and a Master of Engineering in Electrical and Computer Engineering. Pedram has worked for many years in telecommunication and other IT domains. He has taught Data Analytics and Technology topics at McMaster University and Ontario Colleges. His interests are Big Data Analytics, AI, ML, Cloud computing, IoT, Cyber Security, DevOps, and Networking.
