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Volver a Big Data Integration and Processing

Opiniones y comentarios de aprendices correspondientes a Big Data Integration and Processing por parte de Universidad de California en San Diego

4.4
estrellas
1,781 calificaciones
383 revisiones

Acerca del Curso

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+....

Principales revisiones

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.

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.

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126 - 150 de 371 revisiones para Big Data Integration and Processing

por Srishti R

Mar 05, 2019

Great experience towards learning this course

por Nick B

Nov 28, 2018

Enjoyed the class. It was very enlightening.

por Darius T

Jan 01, 2018

Great course for learning MongoDB and pySpark

por Zhi Q

Jan 12, 2017

a wide spectrum of tools practiced. awesome!

por Assaduzzaman N

Sep 26, 2017

This is a very good course in most aspects.

por Tanuj P

Mar 01, 2018

Good assignments at the end of the course.

por AISHWARYA V

May 26, 2020

Very interesting and informative course.

por Jose L R

Oct 13, 2018

Great course! Please update the HandsOn.

por Rajesh P

Nov 10, 2017

Very good course for understanding spark

por Ian M

Feb 02, 2017

Lots of good hands-on and explanation...

por YEVHEN K

Jan 23, 2018

Very good basic for further learning!!!

por Swapnil D

May 12, 2019

Things are materialized in well manner

por Juan J R M

May 10, 2017

Get a better description in the week 6

por Luis A R

Jun 14, 2019

Excellent course, very good material.

por Fernando A S G

Jun 14, 2017

Great hands on activities! Thanks!

por vasudha k

Jan 16, 2019

amazing course great assignments

por Bhrigu C

Jun 16, 2018

Great Teachers and great course

por William S A

Aug 21, 2017

Excellent content and teachers.

por leena

Feb 28, 2020

This is well organised course.

por Lorie S

May 25, 2018

Great Course and interesting..

por Ramachandran K

Jun 21, 2017

Excellent course and exercises

por Ivan A

Aug 28, 2018

Interesting practise part.

por Ailyah C

May 13, 2020

Ilkay is the best teacher

por Jose A B A

Dec 17, 2016

Excelent practical course

por Víctor V B

Dec 03, 2016

excellent.congratulations