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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
1,784 évaluations
384 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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76 - 100 sur 371 Avis pour Big Data Integration and Processing

par Utsav P

Feb 06, 2017

I learned a lot of implementation of the techniques and concepts that were covered earlier. A great experience.

par PATIL P R

Apr 28, 2020

Nice course to enhance the skill.. Thanks Resp Professor & Team.. Thanks to university and coursera team..

par Tarun K

Mar 13, 2018

Its amazing, Fantastic, Fabulous, learnt a new technique or technology for the data integration & processing

par Fernando E

Nov 13, 2016

Very challenging, specially in the week 6 quizzes where a lot of researching took place in order to pass it.

par Lopamudra S

Apr 29, 2018

A kick start for Big Data Integration and processing.Thanks to my faculty for this wonderful course.

par Mohamed M G F

May 01, 2017

I enjoyed this course. I learnt a lot of stuff about Big Data processing in a simple and clear way.

par Nishant U

Apr 16, 2019

Amazing part of the specialization where first time interacted with spark and mongodb, great tech

par Zeinab T

Dec 30, 2018

Very good explanation of Spark layers and processes and how it differs from MapReduce. Thank you.

par Michael

Mar 12, 2020

Wonderful visualization course to make complicated knowledge easier to understand for beginners!

par 刘学洲

Jan 23, 2018

It was really a wonderful experience. I love the forum and help me a lot .Thanks for all of you!

par dstart

Apr 26, 2019

Very good introductory course. It makes you want to continue to learn about Spakr and MongoDB.

par Amr H

Jan 30, 2017

Goog hands-on and assessments, i like it and it took me sometime and reading to solve it

Thanks

par Abbas T

Aug 20, 2018

Very nice course, it gives a new and good knowledge about

Big Data Integration and Processing

par David B

Apr 18, 2017

This course is more hands on than previous courses, I've found it very interesting and useful

par Piero T

Dec 05, 2016

The best course so far (still not doing 4,5,6). It is more complex than the first two.

par Nicolas G

Sep 24, 2017

It was a nice experience for me, I consider a excelent course!!! Congratulations!!!

par Antony C

Apr 05, 2018

I enjoyed this module because the theory, hands on and quiz tests were balanced.

par Prashant N N

Dec 28, 2018

This course was very informative and provided some very good hands on exercises

par Rene G

Nov 11, 2016

Great course! The practices were very useful to me to understand the subjects.

par Chetan H

Mar 12, 2019

This is awesome course for beginner who didn't have any knowledge of bigdata

par Carlos E R M

Apr 11, 2017

One of the best ways to start to be in contact with the real Big Data Tools

par Qiaochu S

Feb 22, 2020

Quite systematic knowledge for Spark, exactly what I want to learn about!

par andrew c

Dec 24, 2016

Good amount of theory and also hands-on exercises with some of the tools.

par Chandrakanth B

Dec 05, 2019

Able to know how big data helps in data integration and processing works

par HONG H

Jun 16, 2017

good information, especially some hands on sparkSQL and spark streaming