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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

2,258 classificações
483 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.

24 de Set de 2016

Best course taking into account the first three. Good material, more in depth than the other ones. Very well explained. Useful to get a sense of various interesting topics and orientative.

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226 — 250 de 470 Avaliações para o Big Data Integration and Processing

por Thuong D H

6 de Out de 2016

It's good


25 de Jan de 2021


por Sorgo W C

3 de Ago de 2020


por Suraj P

13 de Jun de 2020

Good one

por Harsh D

11 de Out de 2018

nice one

por MR. G L

28 de Jun de 2020



31 de Ago de 2019


por Shekh A

30 de Jul de 2019


por José G d A L N

4 de Dez de 2018


por Kavita R L

23 de Dez de 2020



25 de Set de 2020



25 de Jul de 2020


por Anvitha K Q

17 de Jun de 2020


por Aji N J

25 de Mai de 2020


por Maansi

22 de Mai de 2020


por aleksei a

20 de Mar de 2020


por Arthur-Lance

24 de Set de 2017



3 de Jun de 2020


por mostafa r m

15 de Fev de 2020


por bagiya k

6 de Set de 2020


por Mahesh P

9 de Out de 2018


por Irfan S

19 de Out de 2017



13 de Out de 2016


por Santiago V M

21 de Out de 2020

El curso fue muy util e interesante, y mucho de lo aprendido sirve para aplicarlo en el mundo laboral de la sociedad actual. Me gustaron los módulos que tenía y los distintos retos que proponía. Sin embargo, se nota que el curso no está actualizado en términos de las herramientas que pide utilizar lo que frena mucho la fluidez del aprendizaje. Por otro lado, se nota que los mentores y profesores no están pendientes del curso. En el foro hay preguntas que se repiten y se repiten y no hay respuesta por ningún lado de nadie distintas a otros estudiantes que, o tienen las mismas dudas, o que lograron de alguna forma resolver la duda. Pienso que al ser denominado como curso, alguien debe estar pendiente de las dudas que puedan surgir.

por Michael L

22 de Mar de 2020

I especially enjoyed the hand-on exercise of week 6 and all-in-all the lectures. They give a good overview on various data integration tools.

Though, I think the virtual machine and some documentation around it needs an update. If you do not finish exercises in one sweep, it is often not obvious how to restore the original settings. I think I've spent almost the same time trying to get the environment on my virtual machine running as with the actual doing in the exercise. I know that this might even reflect the life of a data scientist but some checker scripts which test, if hadoop is running properly, environment variables are set correct, the right version of java is in the path, and so on would be really helpful.