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Вернуться к Big Data Integration and Processing

Отзывы учащихся о курсе Big Data Integration and Processing от партнера Калифорнийский университет в Сан-Диего

Оценки: 2,369

О курсе

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+....

Лучшие рецензии


21 окт. 2020 г.

Hello Gentlemen,

This 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 мар. 2018 г.

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.

Фильтр по:

76–100 из 502 отзывов о курсе Big Data Integration and Processing

автор: Mohamad K

2 окт. 2019 г.

Teaching about the quality and not quantity. It's a great course , i have learned a lot tech that used now days in our real life.

автор: Alfonso A C M

17 авг. 2020 г.

In general my experience was very good, I consider that you must have some knowledge in programming to get the most out of it.

автор: Івченко Д Є

23 мая 2022 г.

the course is very cramped, not enough pain clear basis in practice, ie where it can be used in real life for their own needs

автор: Sita R P G

11 дек. 2016 г.

The Spark introduction and exercises were good. It would be an added advantage if the final steps/answers also get published.

автор: xavier s

31 авг. 2017 г.

theoric and practise, very usefull course to have a first concret view of data manipulation with some kinds of big data api.

автор: Anna K

23 мар. 2020 г.

It is a great hands on course. The problems were in setting up and configuring variety of software for completing projects.

автор: Glenn B

9 февр. 2017 г.

I found this course like the others. I really liked the hands on labs. It gave a real feel for the programs being explained

автор: David d

28 мар. 2018 г.

Out of the first three course, this has been the most challenging and the most interesting. Enjoyed the final assignement

автор: Hua W

29 дек. 2017 г.

I learn both the basic ideas on the big data integration and processing, and the useful tools, like Spark, MongoDB, etc.

автор: Ben W

12 нояб. 2016 г.

Excellent..but not easy. Be prepared to have to do some research! But hey....isn't that part of being a data scientist!

автор: Ujjwal A

18 мая 2017 г.

Excellent course design, it gives you basic of MongoDB, Splunk and Apache Spark.

Happy learning and think BIG DATA

автор: Raunak S

15 апр. 2018 г.

great course for those who have a basic level knowledge of big data and then desire to upgrade to a higher level.

автор: Rahul P

23 июля 2019 г.

The last exercise was worth all the effort. A huge thumbs up for the entire faculty involved with the course !!

автор: Jesus Y

19 апр. 2017 г.

Very Good Course! I'd never used spark before, and doing (and passing) the assignment on it was very rewarding!

автор: Utsav P

6 февр. 2017 г.

I learned a lot of implementation of the techniques and concepts that were covered earlier. A great experience.

автор: Punam P

28 апр. 2020 г.

Nice course to enhance the skill.. Thanks Resp Professor & Team.. Thanks to university and coursera team..

автор: Tarun K

13 мар. 2018 г.

Its amazing, Fantastic, Fabulous, learnt a new technique or technology for the data integration & processing

автор: Fernando E

12 нояб. 2016 г.

Very challenging, specially in the week 6 quizzes where a lot of researching took place in order to pass it.

автор: Lopamudra S

29 апр. 2018 г.

A kick start for Big Data Integration and processing.Thanks to my faculty for this wonderful course.

автор: Mohamed M G F

30 апр. 2017 г.

I enjoyed this course. I learnt a lot of stuff about Big Data processing in a simple and clear way.

автор: Nishant U

16 апр. 2019 г.

Amazing part of the specialization where first time interacted with spark and mongodb, great tech

автор: Farzane T

30 дек. 2018 г.

Very good explanation of Spark layers and processes and how it differs from MapReduce. Thank you.

автор: Michael

12 мар. 2020 г.

Wonderful visualization course to make complicated knowledge easier to understand for beginners!

автор: 学洲 刘

23 янв. 2018 г.

It was really a wonderful experience. I love the forum and help me a lot .Thanks for all of you!

автор: Dominik S

26 апр. 2019 г.

Very good introductory course. It makes you want to continue to learn about Spakr and MongoDB.