Chevron Left
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

4.4
étoiles
1,770 évaluations
376 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

FC

Sep 25, 2016

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.

AA

Mar 06, 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.

Filtrer par :

126 - 150 sur 365 Avis pour Big Data Integration and Processing

par Nick B

Nov 28, 2018

Enjoyed the class. It was very enlightening.

par Darius T

Jan 01, 2018

Great course for learning MongoDB and pySpark

par Zhi Q

Jan 12, 2017

a wide spectrum of tools practiced. awesome!

par Assaduzzaman N

Sep 26, 2017

This is a very good course in most aspects.

par Tanuj P

Mar 01, 2018

Good assignments at the end of the course.

par Jose L R

Oct 13, 2018

Great course! Please update the HandsOn.

par Rajesh P

Nov 10, 2017

Very good course for understanding spark

par Ian M

Feb 02, 2017

Lots of good hands-on and explanation...

par YEVHEN K

Jan 23, 2018

Very good basic for further learning!!!

par Swapnil D

May 12, 2019

Things are materialized in well manner

par Juan J R M

May 10, 2017

Get a better description in the week 6

par Luis A R

Jun 14, 2019

Excellent course, very good material.

par Fernando A S G

Jun 14, 2017

Great hands on activities! Thanks!

par vasudha k

Jan 16, 2019

amazing course great assignments

par Bhrigu C

Jun 16, 2018

Great Teachers and great course

par William S A

Aug 21, 2017

Excellent content and teachers.

par leena

Feb 28, 2020

This is well organised course.

par Lorie S

May 25, 2018

Great Course and interesting..

par Ramachandran K

Jun 21, 2017

Excellent course and exercises

par Ivan A

Aug 28, 2018

Interesting practise part.

par Ailyah C

May 13, 2020

Ilkay is the best teacher

par Jose A B A

Dec 17, 2016

Excelent practical course

par Víctor V B

Dec 03, 2016

excellent.congratulations

par Edgar H

Nov 13, 2016

Good last week practice!!

par Sayed T S

May 28, 2017

It was A greate course