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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

4.4
étoiles
2,043 évaluations
434 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.

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176 - 200 sur 421 Avis pour Big Data Integration and Processing

par PARITOSH P

Jun 05, 2020

Very good course

par Emilio M

Jun 24, 2019

very good course

par Anurup B

Nov 26, 2017

Fantastic Course

par jamal a

Oct 10, 2016

Great course !!!

par Diego R G

Apr 09, 2020

Great course!!!

par Esteban E C

Nov 30, 2018

Great course :)

par Debasish G

Apr 20, 2020

Great Learning

par Pijush K G

Jun 03, 2018

Good tutorial.

par MD A R A

Aug 24, 2020

Excellent !!!

par Pavithra

May 21, 2020

love to learn

par André G P

Nov 09, 2018

Great course.

par Qinghua Z

Jan 13, 2018

Great course!

par priya k

Sep 09, 2020

good course

par Kondaveti S p

Sep 09, 2020

GOOD COURSE

par Pasawat S

Jun 29, 2019

very useful

par Daniel P M

Feb 01, 2018

Excelent!!!

par Farhan J H

Oct 17, 2016

Best course

par Alexander C

May 26, 2017

Excellent!

par Anitha V

Aug 11, 2020

EXCELLENT

par SASI V T

Aug 11, 2020

EXCELLENT

par Kamlesh C

Jul 30, 2020

Thank you

par AKANKSHA B

Jun 27, 2020

excellent

par Niveditha B B

Mar 14, 2020

Very good

par Arnold J

Aug 19, 2018

beautiful

par Carlos M P M

Jun 05, 2018

Awesome!!