Module Details
Module Code: |
DATA |
Module Title:
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Data Intensive Applications
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Title:
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Data Intensive Applications
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Module Level:: |
8 |
Module Coordinator: |
Nigel Whyte
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Module Author:: |
Hisain Elshaafi
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Module Description: |
To develop the student’s knowledge of the design, operation and management of cloud and on-premises data storage and processing systems.
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Learning Outcomes |
On successful completion of this module the learner will be able to: |
# |
Learning Outcome Description |
LO1 |
Organize and analyze data to discover patterns and tends. |
LO2 |
Deploy and scale modern on-premises and cloud data stores and warehouses. |
LO3 |
Evaluate and rationalize modern polyglot data architectures |
Dependencies |
Module Recommendations
This is prior learning (or a practical skill) that is recommended before enrolment in this module.
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No recommendations listed |
Co-requisite Modules
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No Co-requisite modules listed |
Additional Requisite Information
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No Co Requisites listed
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Indicative Content |
1. Data Management in the Cloud
DaaS, DBaaS, Cloud-based DBMS Services, Security,
AWS, EMC, Azure
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2. Data Warehousing
OLAP, dimensions, measures, roll-up/drill-down,
dimension & fact tables, star schema,
data warehouse, data mart, materialized view
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3. Data Analytics
market basket analysis, classification, association
rules, clustering, decision trees, regression, neural
nets, genetic algorithms, big data, total data
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4. Scalable Datastores
Unstructured data, polyglot persistence, NoSQL, graph, document-oriented, columnar, key-value, NewSQL, Hadoop, Spark
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Module Content & Assessment
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Assessment Breakdown | % |
Continuous Assessment | 40.00% |
Practical | 60.00% |
AssessmentsFull Time
No End of Module Formal Examination |
Reassessment Requirement |
Coursework Only
This module is reassessed solely on the basis of re-submitted coursework. There is no repeat written examination.
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SETU Carlow Campus reserves the right to alter the nature and timings of assessment
Module Workload
Workload: Full Time |
Workload Type |
Workload Category |
Contact Type |
Workload Description |
Frequency |
Average Weekly Learner Workload |
Hours |
Lecture |
|
Contact |
Lecture |
12 Weeks per Stage |
2.00 |
24 |
Laboratory |
|
Contact |
Laboratory |
12 Weeks per Stage |
2.00 |
24 |
Independent Learning Time |
|
Non Contact |
Estimated Learner Hours |
15 Weeks per Stage |
5.13 |
77 |
Total Weekly Contact Hours |
4.00 |
Module Resources
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Recommended Book Resources |
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Martin Kleppmann. (2017), Designing Data-intensive Applications, Oreilly & Associates Incorporated, p.590, [ISBN: 1449373321].
| Supplementary Book Resources |
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Elmasri, Navathe. (2016), Fundamentals of Database System, 7th. Addison Wesley.
| This module does not have any article/paper resources |
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This module does not have any other resources |
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