Big Data Management

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

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.

Summer 2024 Schedule

June 24 - August 26

Monday 6:30PM - 9:30PM PT

Future Offering (Opens April 29, 2024 12:00:00 AM)

See Details

Instructor: Francesco Fabbrocino

397994

Fee:

$1,095.00

In Person

Location: UCLA Extension Lindbrook Center in Westwood

Updating...

See Details

Notes

Enrollment limited. Enrollment deadline: July 2, 2024. Internet access required. Materials required.

Refund Deadline

No refunds after July 07, 2024

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 Jun 24, 2024

6:30PM PT - 9:30PM PT