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Retour à Big Data Integration and Processing

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

2,370 évaluations

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


21 oct. 2020

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 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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151 - 175 sur 503 Avis pour Big Data Integration and Processing


29 juil. 2020

very interesting course for big data fans :)

par Zhi Q

12 janv. 2017

a wide spectrum of tools practiced. awesome!

par Assaduzzaman N

26 sept. 2017

This is a very good course in most aspects.


5 juin 2020

Excellant Great exeperince learning course

par Tanuj P

1 mars 2018

Good assignments at the end of the course.

par Amarendranadh C P

23 janv. 2022

The course is well explained and designed


26 mai 2020

Very interesting and informative course.

par Jose L R

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


23 janv. 2018

Very good basic for further learning!!!

par Swapnil D

12 mai 2019

Things are materialized in well manner

par Juan J R M

9 mai 2017

Get a better description in the week 6

par Luis A R

14 juin 2019

Excellent course, very good material.

par Manish T

26 juil. 2020

excellent course with good hands on

par Fernando A S G

14 juin 2017

Great hands on activities! Thanks!

par Aarush N

28 sept. 2021

Excellent Course must try for all

par Amit K M

8 oct. 2020


par Nawaf S B H

25 juil. 2020

very well done and simple course

par vasudha k

16 janv. 2019

amazing course great assignments

par Sarah K

25 juil. 2020

Awesome lecturers and contents!

par Bhrigu C

16 juin 2018

Great Teachers and great course

par William S A

21 août 2017

Excellent content and teachers.

par leena

28 févr. 2020

This is well organised course.