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Voltar para Big Data Integration and Processing

Comentários e feedback de alunos de Big Data Integration and Processing da instituição Universidade da Califórnia, San Diego

2,273 classificações
488 avaliações

Sobre o curso

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+....

Melhores avaliações

21 de Out de 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.

5 de Mar de 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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376 — 400 de 476 Avaliações para o Big Data Integration and Processing

por Juan G C

20 de Mai de 2021

It is a good course, but the hands-on exercises have a lot of issues and it is really hard to find support through the forums.

por Mihai-Bogdan Z

15 de Ago de 2020

There were a lot of problems with the hands-on... a lot of bugs. You can rewrite / update the scripts. This would help a lot.

por Brandon S

12 de Jan de 2017

Programming instructions were not clear, and the version of Python that was installed on my machine did not support the Jupy

por Shalaka M

16 de Out de 2017

I wish that the Spark programming should have been covered in more details as was the MongoDB and Splunk covered.

por leonardo l

10 de Ago de 2020

the instructions to the final test are insufficient and the forums cant fullfill the students questions.

por Venkateswara P S

2 de Set de 2020

One of the tools mentioned tin the course do not work with Cloudera any more. So my labs became tough.

por Tatiana M

28 de Fev de 2017

A little slower than the last ones, not my favorite but great use of hands-on projects and enagagement

por SU C G

23 de Out de 2016

Needs more depth. Instructors should reference more external readings since the lectures are brief.

por Anirudh

25 de Dez de 2016

some of the stuff was not mentioned properly, like for last quiz how to expoert data from mongodb

por Pablo A L Z

28 de Jul de 2020


por Nester P

10 de Set de 2017

The last assignment of Week 6 was far more advanced than the rest of the material.

por Luis O

27 de Abr de 2020

You could focus more on Spark that is the widely software for Big data Processing

por Erik P

14 de Out de 2017

very nice, just wish the environment was using docker instead of virtual machines

por Silvia C R S

28 de Out de 2017

I think that there should be more exercises for MongoDB and Spark assigments.

por Ramathmika

2 de Abr de 2020

Not very efficient hands-on practices but overall good learning experience

por Dev A S

19 de Jan de 2020

Good course. But we couldn't relate the theoretical videos with hands-on.

por Vadim C

5 de Nov de 2016

The final assessment somewhat not really well designed, imho.

por Oleh D

11 de Nov de 2020

Pyspark environment is quite not ready for this course.

por Ashish J

24 de Ago de 2017

spark hands on should have been more instructive.

por Manas D

9 de Ago de 2020

mam teaches well while sir is not good at all


5 de Ago de 2019

Good info, just a lot of info to digest.

por Konstantin K

1 de Mar de 2018

All is good except the Splunk case

por Ho S J

21 de Jun de 2017

Very difficult final exam.

por Brajesh L S

27 de Abr de 2020

Tough one.

por Keith B

31 de Mar de 2017

The course and presentations were very informational and good. I enjoyed that aspect. I would have rated the course 4-5 star based on that. The reason for the low rating was the 6th module, and the fact that I felt very ill prepared for the syntax of creating all the operations in Spark (building out the Jupiter notebook). We really did not cover much of that, and it was quite punishing to search the web and sources to make things work. Even the instructions to export the csv file were misleading at best. I have a full time job and a family, I am not some young undergraduate with copious amounts of time to waste. While I am not opposed to some searching of other sources, I would like to have more of the useful information taught so that it is not so much of a burden. I believe that if you are going to test people on something, you should at least cover it in some sense.