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, you 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 2022 Schedule

January 3 - March 7

This section has no set meeting times.

Available

See Details

Instructor: Connie Fan

383459

Fee:

$995.00

Online

Updating...

ENROLL BY: Jan 3, 2022

See Details

Notes

Enrollment limited. Enrollment deadline: January 9, 2022. Internet access required. Materials required.

Refund Deadline

No refunds after January 07, 2022

Course Requirements

Hadoop: The Definitive Guide by Tom White

ISBN 1491901632

Internet access required to retrieve course materials.

January 5 - March 16

Wednesday 6:30PM - 9:30PM PT

Available

See Details

383460

Fee:

$995.00

Remote

Location: Online

Updating...

ENROLL BY: Jan 5, 2022

See Details

Notes

Enrollment limited. Enrollment deadline: January 11, 2022. Internet access required. Materials required.

Refund Deadline

No refunds after January 18, 2022

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

Online

Wed Jan 5, 2022

6:30PM PT - 9:30PM PT

Online

Wed Jan 12, 2022

6:30PM PT - 9:30PM PT

Online

Wed Jan 19, 2022

6:30PM PT - 9:30PM PT

Online

Wed Jan 26, 2022

6:30PM PT - 9:30PM PT

Online

Wed Feb 2, 2022

6:30PM PT - 9:30PM PT

Online

Wed Feb 9, 2022

6:30PM PT - 9:30PM PT

Online

Wed Feb 16, 2022

6:30PM PT - 9:30PM PT

Online

Wed Feb 23, 2022

6:30PM PT - 9:30PM PT

Online

Wed Mar 2, 2022

6:30PM PT - 9:30PM PT

Online

Wed Mar 9, 2022

6:30PM PT - 9:30PM PT

Online

Wed Mar 16, 2022

6:30PM PT - 9:30PM PT

Online

Spring 2022 Schedule

March 28 - May 30

This section has no set meeting times.

Future Offering (Opens January 31, 2022 12:00:00 AM)

See Details

Instructor: Connie Fan

384978

Fee:

$995.00

Online

Updating...

See Details

Notes

Enrollment limited. Enrollment deadline: April 3, 2022. Internet access required. Materials required.

Refund Deadline

No refunds after April 01, 2022

Course Requirements

Hadoop: The Definitive Guide by Tom White

ISBN 1491901632

Internet access required to retrieve course materials.

March 30 - June 8

Wednesday 6:30PM - 9:30PM PT

Future Offering (Opens January 31, 2022 12:00:00 AM)

See Details

384979

Fee:

$995.00

In-Person

Location: UCLA Extension Lindbrook Center in Westwood

Updating...

See Details

Notes

Enrollment limited. Enrollment deadline: April 5, 2022. Internet access required. Materials required.

Refund Deadline

No refunds after April 12, 2022

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 Mar 30, 2022

6:30PM PT - 9:30PM PT