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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

4.4
estrelas
2,280 classificações
490 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

SB
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.

AA
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 480 Avaliações para o Big Data Integration and Processing

por prashant

15 de Jan de 2021

Assignments related to quiz could have been better explained as there was less explanation w.r.t some spark related quiz and MongoDB related quiz

por Wolfgang T

7 de Jun de 2021

C​ourse hasn't been updated for years, there is too much of programming (namely for/in MongoDB), which is, by no means, straight-forward.

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 TAY S K

30 de Ago de 2021

Installation instructions need to be improved. Wasted too much time installing, rather than hands-on practice

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

THERE ARE MANY PROBLEMS WITH ANACONDA INSTALLATION AND PYSPARK NOT RUNING CORRECTLY

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 Vishnu

18 de Set de 2021

Teaching is good but practice software provided completely outdated.

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

por JAMES F

5 de Ago de 2019

Good info, just a lot of info to digest.