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Learner Reviews & Feedback for Big Data Integration and Processing by University of California San Diego

4.4
stars
2,280 ratings
490 reviews

About the Course

At the end of the course, you will be able to: *Retrieve data from example database and big data management systems *Describe the connections between data management operations and the big data processing patterns needed to utilize them in large-scale analytical applications *Identify when a big data problem needs data integration *Execute simple big data integration and processing on Hadoop and Spark platforms This course is for those new to data science. Completion of Intro to Big Data is recommended. No prior programming experience is needed, although the ability to install applications and utilize a virtual machine is necessary to complete the hands-on assignments. Refer to the specialization technical requirements for complete hardware and software specifications. Hardware Requirements: (A) Quad Core Processor (VT-x or AMD-V support recommended), 64-bit; (B) 8 GB RAM; (C) 20 GB disk free. How to find your hardware information: (Windows): Open System by clicking the Start button, right-clicking Computer, and then clicking Properties; (Mac): Open Overview by clicking on the Apple menu and clicking “About This Mac.” Most computers with 8 GB RAM purchased in the last 3 years will meet the minimum requirements.You will need a high speed internet connection because you will be downloading files up to 4 Gb in size. Software Requirements: This course relies on several open-source software tools, including Apache Hadoop. All required software can be downloaded and installed free of charge (except for data charges from your internet provider). Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+....

Top reviews

SB
Oct 21, 2020

Hello Gentlemen,\n\nThis course was very helpful foe me. It enhanced my knowledge about Big Data Integration. Thank you so much for providing me such important knowledge. Thank you once again.

AA
Mar 5, 2018

It was a good course, it could have been better if some examples of Spark were also provided in other Languages like Java, people without having background of python may find it difficult.

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301 - 325 of 480 Reviews for Big Data Integration and Processing

By Billu

Dec 20, 2018

Technical support for hands-on work is ridiculously out of date at the rare occasion it is available. and i’m paying for this course!

By ISLAM K

Mar 26, 2018

this course is great , its giving many hands-on sessions that allow the student to be on the way of being professional in this career

By Gnana P B

Oct 15, 2019

It is good course. Some instructions followed not working, course instructions and supplied resources requires update. thank you

By Gopi N

Oct 30, 2018

Need more hands-on for final test, would really help to have extra two weeks split with just good handson. Before final test

By Omprakash S

Jan 15, 2018

More Hands on experience should be included.

Reading of Apache Spark documentation should be made mandatory for beginners.

By Rafael T P d S

Mar 4, 2019

The last quiz was very hard to complete. I didn't found enough content to solve que questions in the course material.

By Samarth S

Apr 11, 2018

Need more explainaion. There are few videos such as that of RDD where I found difficulty in understanding the concept

By Jyothi-Raghav J

Nov 2, 2017

Except for the exercise where it was frustrating to get the Spark Streaming to work, it was a very good learning.

By Mohamed

Sep 17, 2017

Need a references for any one want to read more about each subject. I recommend have it at the end of each Week.

By Prashant K

Oct 15, 2017

Helpful course to learn the basic components and processing on Apache Spark. Course quiz for MongoDB is great.

By Bhola N R

Dec 4, 2018

The assignments for Week6 was really tough, request to provide more hints or support in completing the same.

By Juan J S O

Dec 1, 2018

I learnt a lot in this course, but is hard. Many times the instructions in the assignments were not enough.

By Manish S

Feb 10, 2018

For better practice, more question sets should be provided apart from the quizzes that we already have.

By Devi V V

Jan 23, 2017

course is very good. Excercises are very good. learnt alot about the mongodb and spark sql and RDD's

By Gustavo J

Nov 16, 2017

This is mre interesting than the previous courses on the Big Data Specialization. More hands on...

By Ahmad M E R

Mar 1, 2019

The most interesting part in this course dealing with spark and the final quiz is really amazing

By Cordell M

Jul 22, 2017

that last spark exam was really hard. the script took a long time to finally get working

By Xiuting W

Mar 25, 2019

Useful course. Give more examples of small projects would make this course better.

By Benh L S

Feb 27, 2020

Very good, but a few glitches with the instructions to setup PySpark in my view.

By Ripunjay K

Dec 13, 2019

Good course to enhance knowledge. Data sheet for code should be given separately

By Gabriel T

Feb 1, 2018

Awesome lectures and hands-on. Learned a whole lot. Thanks for a great course.

By Jamal A

Apr 28, 2017

Pros: covers lots of good topics about Big Data

Cons: No real big data exercise

By Yujie G

Nov 3, 2020

Some of the cousera material is not clear and also the final quiz is too hard

By Stig

Nov 20, 2017

I some issues with installation of the right versions for assignments etc.

By Suraj J W

Aug 3, 2019

A BIG THANKS for all your help to learn others about this new technology.