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Avis et commentaires pour d'étudiants pour Big Data Integration and Processing par Université de Californie à San Diego

4.4
étoiles
2,140 évaluations
•
457 avis

À propos du cours

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+....

Meilleurs avis

SB
21 oct. 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.

AA
5 mars 2018

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.

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126 - 150 sur 444 Avis pour Big Data Integration and Processing

par roopesh d

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22 août 2017

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

par PAMELA D

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25 sept. 2018

This was very challenging and very rewarding. What fun wra

par Haozhe ( X

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10 nov. 2020

Great intro course for big data with HDFS and integration

par Ravi V A

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8 mai 2020

This course was designed very well with practical info.

par Leandro R

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12 mai 2017

Excellent course and very demanding! I really enjoyed.

par Yogesh P

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27 mars 2018

Good Course covering many concepts and fundamentals.

par ZIKIF H L

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5 févr. 2017

Lots of learning of programming Spark and MongoDB

par Miguel d l S T

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12 janv. 2017

interesting course, I learned a lot about MongoDB

par Shipra G

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27 avr. 2018

One of the best course fro beginners in Big data

par An D

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2 avr. 2017

Thank you. Spark in this course is very helpful.

par EDGARD M M

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13 févr. 2017

Very good course and professors. I recommend it.

par DHANRAJ N

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11 juil. 2019

This course is very interactive and practical.

par Srishti R

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4 mars 2019

Great experience towards learning this course

par Nick B

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28 nov. 2018

Enjoyed the class. It was very enlightening.

par Darius T

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1 janv. 2018

Great course for learning MongoDB and pySpark

par SARSAR M E M

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29 juil. 2020

very interesting course for big data fans :)

par Zhi Q

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12 janv. 2017

a wide spectrum of tools practiced. awesome!

par Assaduzzaman N

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26 sept. 2017

This is a very good course in most aspects.

par SNEHADEEP Y S

•
5 juin 2020

Excellant Great exeperince learning course

par Tanuj P

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1 mars 2018

Good assignments at the end of the course.

par AISHWARYA V

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26 mai 2020

Very interesting and informative course.

par Jose L R

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13 oct. 2018

Great course! Please update the HandsOn.

par Rajesh P

•
10 nov. 2017

Very good course for understanding spark

par Ian M

•
2 févr. 2017

Lots of good hands-on and explanation...

par Suhail M

•
17 juil. 2020

Need More Hands on except that all good

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