Chevron Left
返回到 Big Data Integration and Processing

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
2,272 個評分
488 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+....

熱門審閱

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.

AA
2018年3月5日

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.

篩選依據:

376 - Big Data Integration and Processing 的 400 個評論(共 476 個)

創建者 Juan G C

2021年5月20日

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.

創建者 Mihai-Bogdan Z

2020年8月15日

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.

創建者 Brandon S

2017年1月12日

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

創建者 Shalaka M

2017年10月16日

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

創建者 leonardo l

2020年8月10日

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

創建者 Venkateswara P S

2020年9月2日

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

創建者 Tatiana M

2017年2月28日

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

創建者 SU C G

2016年10月23日

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

創建者 Anirudh

2016年12月25日

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

創建者 Pablo A L Z

2020年7月28日

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

創建者 Nester P

2017年9月10日

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

創建者 Luis O

2020年4月27日

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

創建者 Erik P

2017年10月14日

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

創建者 Silvia C R S

2017年10月28日

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

創建者 Ramathmika

2020年4月2日

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

創建者 Dev A S

2020年1月19日

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

創建者 Vadim C

2016年11月5日

The final assessment somewhat not really well designed, imho.

創建者 Oleh D

2020年11月11日

Pyspark environment is quite not ready for this course.

創建者 Ashish J

2017年8月24日

spark hands on should have been more instructive.

創建者 Manas D

2020年8月9日

mam teaches well while sir is not good at all

創建者 JAMES F

2019年8月5日

Good info, just a lot of info to digest.

創建者 Konstantin K

2018年3月1日

All is good except the Splunk case

創建者 Ho S J

2017年6月21日

Very difficult final exam.

創建者 Brajesh L S

2020年4月27日

Tough one.

創建者 Keith B

2017年3月31日

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.