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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

4.4
звезд
Оценки: 2,319
Рецензии: 501

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

SB
21 окт. 2020 г.

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
24 сент. 2016 г.

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.

Фильтр по:

126–150 из 490 отзывов о курсе Big Data Integration and Processing

автор: Xing Z

19 июля 2018 г.

Excellent course! I have learnt and practiced a lot of stuff!

автор: Fernando G d L V

25 авг. 2017 г.

Great final exercise, I had to review and read so much spark.

автор: Jude O

6 нояб. 2018 г.

This course was a bit tough but I am excited I completed it.

автор: Fernando M

15 мая 2017 г.

Very good course, and challenging, by the way. Thanks a lot!

автор: roopesh d

22 авг. 2017 г.

very nice. easy to understand and great hands on exercises.

автор: PAMELA D

25 сент. 2018 г.

This was very challenging and very rewarding. What fun wra

автор: Haozhe ( X

10 нояб. 2020 г.

Great intro course for big data with HDFS and integration

автор: Himanshu G

19 июня 2021 г.

It was really amazing. Session gave good hands on Spark

автор: Ravi V A

8 мая 2020 г.

This course was designed very well with practical info.

автор: Leandro L R

12 мая 2017 г.

Excellent course and very demanding! I really enjoyed.

автор: Yogesh P

27 мар. 2018 г.

Good Course covering many concepts and fundamentals.

автор: ZIKIF H L

5 февр. 2017 г.

Lots of learning of programming Spark and MongoDB

автор: Miguel d l S T

12 янв. 2017 г.

interesting course, I learned a lot about MongoDB

автор: Shipra G

27 апр. 2018 г.

One of the best course fro beginners in Big data

автор: An D

2 апр. 2017 г.

Thank you. Spark in this course is very helpful.

автор: EDGARD M M

13 февр. 2017 г.

Very good course and professors. I recommend it.

автор: DHANRAJ N

11 июля 2019 г.

This course is very interactive and practical.

автор: Srishti R

4 мар. 2019 г.

Great experience towards learning this course

автор: Nick B

28 нояб. 2018 г.

Enjoyed the class. It was very enlightening.

автор: Darius T

1 янв. 2018 г.

Great course for learning MongoDB and pySpark

автор: SARSAR M E M

29 июля 2020 г.

very interesting course for big data fans :)

автор: Zhi Q

12 янв. 2017 г.

a wide spectrum of tools practiced. awesome!

автор: Assaduzzaman N

26 сент. 2017 г.

This is a very good course in most aspects.

автор: SNEHADEEP Y S

5 июня 2020 г.

Excellant Great exeperince learning course

автор: Tanuj P

1 мар. 2018 г.

Good assignments at the end of the course.