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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.

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Typically Available
Fall
Winter
Spring
Summer
Duration
As few as 11 weeks
Units
4.0
Current Formats
Online
In Person
Cost
Starting at $1,095.00

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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.

Winter 2026 Schedule

Date
Details
Format
 
-
Monday 6:30PM - 9:30PM PT
Instructor:
Francesco Fabbrocino
REG#
405856
Fee:
$1,095.00
In Personformat icon
UCLA Extension Lindbrook Center in Westwood
Updating...
Notes

Enrollment limited; early enrollment advised. Visitors not permitted.

Enrollment deadline: January 11th, 2026.

Deadline
Refunds only available from November 03, 2025 to January 18, 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
Discussion
Mon Jan 5, 2026
6:30PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
Discussion
Mon Jan 12, 2026
6:30PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
Discussion
Mon Jan 19, 2026
6:30PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
Discussion
Mon Jan 26, 2026
6:30PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
Discussion
Mon Feb 2, 2026
6:30PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
Discussion
Mon Feb 9, 2026
6:30PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
Discussion
Mon Feb 16, 2026
6:30PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
Discussion
Mon Feb 23, 2026
6:30PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
Discussion
Mon Mar 2, 2026
6:30PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
Discussion
Mon Mar 9, 2026
6:30PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
Discussion
Mon Mar 16, 2026
6:30PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
-
This section has no set meeting times.
Instructor:
Connie Outwater
REG#
405855
Fee:
$1,095.00
Onlineformat icon
Updating...
Notes

Enrollment limited; early enrollment advised. Enrollment deadline: January 11th, 2026.

Deadline
Refunds only available from November 03, 2025 to January 18, 2026
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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