Instructor

Vagelis Hristidis, PhD
Computer Science & Engineering
University of California, Riverside
Email: vagelis@cs.ucr.edu
Office hour: Tuesdays 4-5 pm on Zoom. Email me on Tuesday before 4 pm to make appointment and get the Zoom link.

Lectures: Tu 8-10:50 am, at SB2 122

Teaching Assistant: Alexander Iskander <iskandea@uci.edu> 

Office hours:  Tuesdays 2pm - 4pm
Location: ICS 415
Zoom Link: https://uci.zoom.us/j/94395323897

Course Overview

In this course, we will broadly study big-data management frameworks such as Hadoop and Spark. The course will also cover relational and non-relational databases, as well as cloud data management solutions. We will study the trade-offs of these platforms and show applications of their usage. 

Grading

Class Participation/Quizzes: 25%

Assignments:  25%

Midterm 1:  25%

Midterm 2:  25%

The worst two quizzes will be dropped.

The midterms will be open book exams. They will be 80 minutes in length, and will include a combination of quantitative and essay-type questions.

For assignments, there is 20% penalty for late submission.

Textbook

Recommended but not necessary textbook (covers most material except SQL):

Big Data Technologies for Business, Arben Asllani
Edition 1.0 | Copyright 2021 | Publication Date: December 2020 | ISBN: 978-1-943153-75-6

Classroom Etiquette, Guidelines, & Policies 

Academic Honesty

By enrolling in this course, you agree to be bound by the University of California, Irvine’s policy on academic integrity. This policy may also be found in your Graduate Student Handbook.

Attendance

Your attendance for each class session is expected.