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| 02/03 - 05/18 | ||||||
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5:45 pm |
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Subject: Software Eng (Grad) (SEIS)
CRN: 22459
Lecture
St Paul: O'Shaughnessy Science Hall 333
Requirements Met:
Software Data Mgmt Conc
Software Technical Elective
As data is becoming more and more ubiquitous, the need to consume it to perform computations and power intelligent systems is also becoming more important. Bigger and more powerful neural networks need a large amount of data to be more accurate in performing tasks and making decisions. This means that it is increasingly important to understand the architecture and data plumbing for such sophisticated systems of the future. This course provides a broad coverage of the building blocks of a modern big data architecture which is fast, scalable and reliable. Major topics covered in this course include: (1) persistent storage and data organization (2) data ingestion and integration, (3) batch and stream processing, (4) modern cloud architectures, and (5) a real life example of geospatial analytics using such architecture. Students will complete hands on exercises leveraging big data tools to build data pipelines. Prerequisites: (SEIS 601 or SEIS 603) and SEIS 630. May take concurrently with SEIS 737.
3 Credits