Big Data Management

COM SCI X 450.3

In this course, you learn all about Hadoop & its framework consisting of tools for distributed storage and data processing, to an open-source framework while addressing distributed storage and large data set processing.

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What you can learn.

Gain basic understanding of the history of big data and current landscape of big data
Gain understanding of different types of NoSQL data stores
Gain high level understanding of the Hadoop infrastructure
Gain basic understanding of different ecosystems within Hadoop
Work as a group to create a business solution using Hadoop framework
Basic hands-on experience with Hadoop

About this course:

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. Additionally, students learn about other elements, such as NoSQL databases and competing technologies. Students work on designing a business solution to manage big data projects using knowledge learned in the course.

Prerequisites

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

Winter 2023 Schedule

January 10 - March 14

This section has no set meeting times.

Available

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Instructor: Connie Outwater

389157

Fee:

$995.00

Online

Updating...

ENROLL BY: Jan 10, 2023

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Notes

Enrollment limited. Enrollment deadline: January 16, 2023. Internet access required. Materials required.

Refund Deadline

No refunds after January 14, 2023

Course Requirements

Hadoop: The Definitive Guide by Tom White

ISBN 1491901632

Internet access required to retrieve course materials.

January 11 - March 15

Wednesday 6:30PM - 9:30PM PT

Available

See Details

Instructor: Francesco Fabbrocino

389158

Fee:

$995.00

In-Person

Location: UCLA Extension Lindbrook Center in Westwood

Updating...

ENROLL BY: Jan 11, 2023

See Details

Notes

Enrollment limited. Enrollment deadline: January 17, 2023. Internet access required. Materials required.

Refund Deadline

No refunds after January 24, 2023

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

Wed Jan 11, 2023

6:30PM PT - 9:30PM PT