DAT 303
Data Programming II

Total Units :: 3.0

Course Outlines

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.

No Classes Currently Open for Registration

Please check back when registration opens for the next term. Spring term registration opens mid-March and Fall/Winter term registration opens mid-July. Please refer to the Schedule tab for your program to review the planned academic year schedule.

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Continuing Education

DAT 303
Data Programming II

No Classes Currently Open for Registration

More Information

DAT 303Data Programming II

No Classes Currently Open for Registration

More Information

DAT 303
Data Programming II