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學生對 加州大学圣地亚哥分校 提供的 Big Data Integration and Processing 的評價和反饋

4.4
2,177 個評分
468 條評論

課程概述

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+....

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SB
2020年10月21日

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.

FC
2016年9月24日

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 - Big Data Integration and Processing 的 250 個評論(共 455 個)

創建者 Sorgo W C

2020年8月3日

exellent

創建者 Suraj P

2020年6月13日

Good one

創建者 Harsh D

2018年10月11日

nice one

創建者 MR. G L

2020年6月28日

amazing

創建者 ASHUTOSH S

2019年8月31日

awesome

創建者 Shekh A

2019年7月30日

Awesome

創建者 José G d A L N

2018年12月4日

Perfect

創建者 Kavita R L

2020年12月23日

Good

創建者 GOKUL M B

2020年9月25日

good

創建者 RAGHUVEER S D

2020年7月25日

good

創建者 Anvitha K Q

2020年6月16日

nice

創建者 Aji N J

2020年5月25日

good

創建者 Maansi

2020年5月22日

good

創建者 aleksei a

2020年3月20日

good

創建者 Arthur-Lance

2017年9月24日

cool

創建者 SHAKTHI S

2020年6月3日

Gud

創建者 mostafa r m

2020年2月15日

...

創建者 bagiya k

2020年9月5日

no

創建者 Mahesh P

2018年10月9日

V

創建者 Irfan S

2017年10月19日

G

創建者 CHEMAK C

2016年10月13日

G

創建者 Santiago V M

2020年10月21日

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.

創建者 Michael L

2020年3月22日

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.

創建者 Misha

2020年7月12日

Serious problems with the hands-on assignments. I consider myself a fairly seasoned programmer, with quite a few years of Python under my belt. I still spent many hours on the final project, searching around CentOS forums for ways to troubleshoot Pyspark (the last assignment takes place in a virtual machine). I would recommend not taking this class until you have a very solid understanding of Python and, be aware, this requires bravery in the face of the command line. Not for the faint of heart. I learned A LOT about MongoDB, Linux, PySpark, Hadoop, and conceptual big data as a whole.

創建者 Anurag S

2018年9月13日

The course content is very well thought out and presented.

Hands-on exercises remain a challenge as many things don't work. It takes the mindset of problem-solving (not just in big data, but also in debugging, figuring out how to get different scripts to run, how to set environment variables etc.) to be able to complete all exercises in this course. I suspect that many people might get discouraged and quit the course midway.

The final week's exercises did test my programming skills to a very large extent but gave me a good understanding of the course concepts.

A very good course overall.