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Big Data Management

Hadoop and Managing Big Data
COM SCI X 450.3

Learn tools for distributed data storage and large data set processing. This course focuses on architectures and technologies, including NoSQL and Hadoop.

View Course Options
Typically Available
Fall
Winter
Spring
Summer
Duration
As few as 11 weeks
Units
4.0
Current Formats
Hybrid
Online
In Person
Cost
Starting at $1,100.00

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What you can learn.

Understand the basics of the history and current landscape of big data
Gain a high-level understanding of the Hadoop infrastructure
Create a business solution with a group, using Hadoop framework
Learn different types of NoSQL data stores
Explore different ecosystems within Hadoop
Get basic hands-on experience with Hadoop

About This Course

This course introduces tools for distributed storage and data processing in an open-source framework. It covers NoSQL, the core components of Hadoop, and an overview of Hive. The extent of data being produced and stored by organizations is increasing. In fact, IDC has projected to reach 165 zetta bytes by 2025. Organizations understand that being able to extract and leverage value and gain actionable insights from this big data can give them a tremendous competitive advantage. In this course, students  learn tools for distributed storage and data processing to an open-source framework. This course addresses distributed storage and large data set processing focusing on architectures and technologies.

Prerequisites
COM SCI X 450.1 Introduction to Data Science or prior knowledge in R and Python recommended, or consent of instructor.

Fall 2026 Schedule

Date
Details
Format
 
-
Monday 6:30PM - 9:30PM PT
Instructor:
Connie Outwater
REG#
410155
Fee:
$1,100.00
Hybridformat icon
UCLA Extension Lindbrook Center in Westwood
Remote Classroom
Updating...
Notes
Enrollment limited; early enrollment advised. Visitors not permitted. Enrollment deadline: September 27, 2026.
Deadline
Refunds only available from July 27, 2026 to October 04, 2026
Course Requirements
Internet access required to retrieve course materials.
Spark: The Definitive Guide: Big Data Processing Made Simple by Chambers & Zaharia
ISBN 978-1491912218
Schedule
Type
Date
Time
Location
Lecture
Mon Sep 21, 2026
6:30PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
Lecture
Mon Sep 28, 2026
6:30PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
Lecture
Mon Oct 5, 2026
6:30PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
Lecture
Mon Oct 12, 2026
6:30PM PT - 9:30PM PT
Remote Classroom
Lecture
Mon Oct 19, 2026
6:30PM PT - 9:30PM PT
Remote Classroom
Lecture
Mon Oct 26, 2026
6:30PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
Online
Mon Nov 2, 2026
6:30PM PT - 9:30PM PT
Remote Classroom
Lecture
Mon Nov 9, 2026
6:30PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
Lecture
Mon Nov 16, 2026
6:30PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
Lecture
Mon Nov 30, 2026
6:30PM PT - 9:30PM PT
Remote Classroom
-
This section has no set meeting times.
Instructor:
Connie Outwater
REG#
410156
Fee:
$1,100.00
Onlineformat icon
Updating...
Notes
Enrollment limited; early enrollment advised. Enrollment deadline: September 27, 2026.
Deadline
Refunds only available from July 27, 2026 to October 04, 2026
Course Requirements
Hadoop: The Definitive Guide by Tom White
©2015 O'Reilly Media
ISBN 1491901632
Internet access required to retrieve course materials.

Winter 2027 Schedule

Date
Details
Format
 
-
Monday 6:30PM - 9:30PM PT
Instructor:
Francesco Fabbrocino
REG#
410975
Fee:
$1,100.00
In Personformat icon
UCLA Extension Lindbrook Center in Westwood
Updating...
Notes
Enrollment limited; early enrollment advised. Visitors not permitted. Enrollment deadline: January 10, 2027.
Deadline
Refunds only available from November 02, 2026 to January 17, 2027
Course Requirements
Internet access required to retrieve course materials.
Spark: The Definitive Guide: Big Data Processing Made Simple by Chambers & Zaharia
ISBN 978-1491912218
Schedule
Type
Date
Time
Location
Lecture
Mon Jan 4, 2027
6:30PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 206
Lecture
Mon Jan 11, 2027
6:30PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 206
Lecture
Mon Jan 25, 2027
6:30PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 206
Lecture
Mon Feb 1, 2027
6:30PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 206
Lecture
Mon Feb 8, 2027
6:30PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 206
Discussion
Mon Feb 22, 2027
6:30PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 206
Discussion
Mon Mar 1, 2027
6:30PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 206
Discussion
Mon Mar 8, 2027
6:30PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 206
Discussion
Mon Mar 15, 2027
6:30PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 206
-
This section has no set meeting times.
Instructor:
Connie Outwater
REG#
410930
Fee:
$1,100.00
Onlineformat icon
Updating...
Notes
Enrollment limited; early enrollment advised. Enrollment deadline: January 10, 2027.
Deadline
Refunds only available from November 02, 2026 to January 17, 2027
Course Requirements
Hadoop: The Definitive Guide by Tom White
©2015 O'Reilly Media
ISBN 1491901632
Internet access required to retrieve course materials.

This course applies toward the following programs

data visualization graohic

Data Science

certificate

Data Science

certificate Learn to leverage the power of big data to extract insights and improve decision making for real-world problems. Gain hands-on experience in data management and visualization, machine learning, statistical models, and more for a career in data science.

Learn to leverage the power of big data to extract insights and improve decision making for real-world problems. Gain hands-on experience in data management and visualization, machine learning, statistical models, and more for a career in data science.

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