Introduction to Big Data and Analytics

Course Description

This course is an introduction to Big-Data deluge, management of unstructured and structured data and design of large scale database systems. Concepts covered include map-reduce parallel processing algorithms, real-time analytics, classification, and predictive analytics, attributes of Big-Data and related issues. The course also introduces large-scale file systems and operations and parallel processing algorithms.

Class Details

CRN Course Section Days Times Instructor Loc
13557 CIS 44F 01Z M·W···· 06:00 PM-07:50 PM Felix Amoruwa ONLINE
······· TBA-TBA
······· TBA-TBA

Class Materials: View textbook and/or other materials for this course available at the Bookstore.
Class Dates: This class runs from 2024-07-01 to 2024-08-09.
CIS-44F-01Z: Fully ONLINE. The lecture meets each week as noted in the class listing. Students must have access to a computer, the internet and an individual email address. Most De Anza classes will use the Canvas course management system. We recommend a laptop or desktop computer to successfully complete the course; a tablet or phone may not be adequate for all assignments and tests. Information about Canvas and Online Education Orientation can be found in Canvas on the Student Resources page: The Student Online Resources hub with extensive information and tips can be found at

Course Details

4 Units
  • Weekly Lecture Hours: 4
  • Weekly Lab Hours: 0
Gen Ed
Non-GE Class
Program Status
Program Applicable
Credit - Degree Applicable
Grading Method
Letter Grading

Requisite and Advisory

ESL D272. and ESL D273., or ESL D472. and ESL D473., or eligibility for EWRT D001A or EWRT D01AH or ESL D005.
Back to Top