Platforms for Big Data Processing
Session
Twelve Week
Class Number
1303
Career
Graduate
Units
3 units
Grading
Graded
Description
The goal of this course is to introduce methods, technologies, and computing platforms for performing data analysis at scale. Topics include the theory and techniques for data acquisition, cleansing, aggregation, management of large heterogeneous data collections, processing, information and knowledge extraction. Students are introduced to map-reduce, streaming, and external memory algorithms and their implementations using Hadoop and its eco-system (HBase, Hive, Pig and Spark). Students will gain practical experience in analyzing large existing databases.
Class Attributes
DATA
Notes
This is a synchronous online course.
Class Actions
Book Store
Class Details
Instructor(s)
Donghwa Kim
Meets
We 6:00pm - 9:10pm
Dates
06/01/2021 - 08/20/2021
Room
WEB
Instruction Mode
Online
Campus
Main Campus
Location
Univ of MD, Baltimore County
Components
Lecture Required
Class Availability
Status
Closed
Seats Taken
25
Seats Open
0
Class Capacity
25
Wait List Total
2
Wait List Capacity
2