Welcome to Data Storage and Management Technologies

at Dalarna University

All of the lectures in this course will be taught with recorderd lectures on-line.

All communication with teachers takes place via e-mail

Overview of the whole course

Part 1 of the course (week 36, 37, 38 and 39)

This part is about:

• PLSQL Packages
• Requriment analysis
• Information models and SQL
• Information models for spatial data
• Data quality management
• Start write a report (the assignment) about Data Warehouses and Data Lakes etc.

Responsible teacher for this part is Pär Douhan, pdo@du.se  

Part 2 of the course (week 40, 41, 42 and 43)

This part is about:

• Introduction to Linux
• Introduction to NoSQL
• SQL vs NoSQL , A summary comparison
• Introduction to NoSQL data models (Key/Value, Column, Document, Graph) with short examples. Graph part also including basics of GDS
• Neo4j - basics
• Hadoop Distributed File System – basics
• Database Index
• Hand in the report (the assignment) about Data Warehouses and Data Lakes etc.

Responsible teacher for this part is Nausheen Saed, nse@du.se

Examination

In order to pass the course you must do the following things:

1. Laboratory work (4,5 credits) Grade: U-G. This is represented by four labs during the course, two during part 1, two during part 2.
2. Assignment (3,5 credits) Grade U-VG. This is represented as a written report with a presentation.

Everything you do in this course will be group work with max 3 students in each group. We have already created a number of groups. You can enroll in these groups yourself.

NOTE! Each submission must have a recorded presentation. During the presentation all members of the group must be active.

Best regards

Pär Douhan and Nausheen Saeed.

Start the course

Start the course by clicking this link Module Part 1 of the course

Course evaluation

When you are done with the course, please leave a course evaluation here

	Course Syllabus			Contact information
	Reading List			Pär Douhan Course Coordinator pdo@du.se
				Nausheen Saeed Teacher nse@du.se