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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
2,096 évaluations
448 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

SB

Oct 22, 2020

Hello Gentlemen,\n\nThis 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.

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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76 - 100 sur 435 Avis pour Big Data Integration and Processing

par Glenn B

Feb 09, 2017

I found this course like the others. I really liked the hands on labs. It gave a real feel for the programs being explained

par David d

Mar 28, 2018

Out of the first three course, this has been the most challenging and the most interesting. Enjoyed the final assignement

par Hua W

Dec 29, 2017

I learn both the basic ideas on the big data integration and processing, and the useful tools, like Spark, MongoDB, etc.

par Ben W

Nov 12, 2016

Excellent..but not easy. Be prepared to have to do some research! But hey....isn't that part of being a data scientist!

par Ujjwal A

May 18, 2017

Excellent course design, it gives you basic of MongoDB, Splunk and Apache Spark.

Happy learning and think BIG DATA

par Raunak S

Apr 15, 2018

great course for those who have a basic level knowledge of big data and then desire to upgrade to a higher level.

par Rahul P

Jul 23, 2019

The last exercise was worth all the effort. A huge thumbs up for the entire faculty involved with the course !!

par JY

Apr 20, 2017

Very Good Course! I'd never used spark before, and doing (and passing) the assignment on it was very rewarding!

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 Punam P

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 学洲 刘

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 Muhammad H M

Oct 04, 2020

Course content is very informative and relevant. Quizzes are highly technical and competitive

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!!!