Refer to Discussion Forum, Facilitator Introduction and Expectations
MSCD 665 - NoSQL Database Concepts using Cassandra
This course will provide you with an in-depth understanding of the Cassandra Database Technology. Cassandra is a relatively new technology that has recently gained prominence and is leveraged on a huge scale by large corporations such as Netflix, Comcast, MS Office 365, British Gas, Nest and Spotify. You will learn the differences between a storage structure, node, cluster and a data center. You will install the Cassandra database on nodes within a cluster on a Cloud Data Center. You will learn the best practices for defining partition and clustering keys and be able to explain how the selection of keys can impact database performance. You will get hands-on experience with the Datastax Devcenter and the Opscenter Tools that are used with Cassandra for software development and database administration. You will learn the syntax for the Cassandra Query Language (CQL) and use CQL in lab exercises to manipulate data. You will learn how to design physical data models for Cassandra. Also, you will explore and evaluate a simple application that uses the python language to create a blog. By the end of the course, you will have a solid understanding of the strengths and weaknesses of Cassandra.
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Upon completion of this course, learners should be able to:
Ignatian Values: Magis is the ignatian component for this course. The act of discerning the best decision in a given situation to serve God. This course supports the concept of polyglot persistence that means to choose the best database management system (DBMS) for a given task.
Purdue Online Writing Lab (OWL), http://owl.english.purdue.edu/owl/resource/560/01/
American Psychological Association (current edition). APA Style, http://www.apastyle.org/
See Assignments and Activities table below for Week 1.
| Week | Readings | Graded Assignments or Assessments (Percentage) |
|---|---|---|
| 1: Introductions and review syllabus Overview of Cassandra | Neeraj, N. (2015) Chapter 1 | Class Discussions Start writing a Scholarly Response on the topic of Cassandra (4 sources) Complete Lab Exercises 1 & 2 |
| 2: Overview of Architecture including Nodes, Clusters and Data Centers | Neeraj, N. (2015) Chapter 2 | Classroom Discussion Complete Lab Exercise 3 |
| 3: Data Modeling for Cassandra | Neeraj, N. (2015) Review Pages 9-11 introduction to Data Modeling PDF Data Modeling Big Data PDF | Classroom Discussion Complete Lab Exercise 4 |
| 4: Cassandra Query Language and Dev Center | Neeraj, N. (2015) Chapters 3 and 4 | Classroom Discussion Complete Lab Exercises 5 & 6 |
| 5: Cassandra APIs and Cloud Project Overview | Cassandra Web Interface and Python API documentation | Classroom Discussion Start Cloud Project |
| 6: Performance and Tuning for Cassandra and Ops Center | Neeraj, N. (2015) Chapters 5,6 and 7 | Classroom Discussion Complete Lab Exercises 7 & 8 |
| 7: Interfacing with Hadoop | Neeraj, N. (2015) Chapter 8 | Classroom Discussion Demo of Hadoop Map Reduce |
| 8: Final Exam | ENTER TEXT | No Class Meeting - work on Final Exam & Cloud Project |
| Assignments | Weighted Percentage |
|---|---|
| Class Discussion / Participation (7 x 2.9%) | 20% |
| Scholarly Response Paper (1 x 20%) | 20% |
| Lab Exercises (8 x 3.125%) | 20% |
| Project | 20% |
| Final Exam | 20% |
| TOTAL | 100 % |
Review the CCIS Policies on the Regis University website.
NOTE TO LEARNERS: On occasion, the course facilitator may, at his or her discretion, alter the Learning Activities shown in this Syllabus. The alteration of Learning Activities may not, in any way, change the Learner Outcomes or the grading scale for this course as contained in this syllabus. Examples of circumstances that could justify alterations in Learning Activities could include number of learners in the course; compelling current events; special facilitator experience or expertise; or unanticipated disruptions to class session schedule.