Introduction to Big Data and Analytics
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 and Predictive analytics, attributes of Big-Data and related issues. Introduction to large scale file systems and operations and parallel processing algorithms.
|24683||CIS 64F||62Z||·······||TBA-TBA||Rick Hubbard||ONLINE|
Class Materials: View textbook and/or other materials for this course available at the Bookstore.
Class Dates: This class runs from 2018-09-24 to 2018-12-14.
Online Course. Students must have access to a computer, the Web and an individual email address. Exclusively using a tablet or phone may prevent you from successfully completing a course. Information about Canvas and Online Education Orientation can be found in Canvas on the Student Resources page: https://deanza.instructure.com/courses/3382
- 4 Units
- Four hours lecture (48 hours total per quarter).
- Gen Ed
- Non-GE Class
- Program Status
- Program Applicable
- Credit - Degree Applicable
- Grading Method
- Letter Grading
- EWRT 211 and READ 211 (or LART 211), or ESL 272 and 273.