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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

2,369 évaluations

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


21 oct. 2020

Hello Gentlemen,

This 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.


5 mars 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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101 - 125 sur 503 Avis pour Big Data Integration and Processing

par Amr H

30 janv. 2017

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


par Hashaam M

4 oct. 2020

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

par Abbas T

20 août 2018

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

Big Data Integration and Processing

par David B

18 avr. 2017

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

par Piero T

5 déc. 2016

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

par Nicolás O

20 janv. 2021

Very interesting, difficult Big Data course!! Thanks Coursera for this opportunity!!

par Nicolas G

24 sept. 2017

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

par Adryan R A

28 juil. 2021

Very good explanation, but i think need some understanding before take this course

par Antony C

5 avr. 2018

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

par Prashant N N

28 déc. 2018

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

par Nikola M

7 nov. 2021

A perfect blend of theoretical and practical approach to MongoDb and PySpark.

par Rene G

11 nov. 2016

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

par Kuldeep K S

24 juil. 2020

Clearly explained . It is one of the best courses in big data specialization

par Chetan H

12 mars 2019

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

par Carlos E R M

11 avr. 2017

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

par Qiaochu S

22 févr. 2020

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

par Andrew C

23 déc. 2016

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

par Chandrakanth B

5 déc. 2019

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

par HONG H

16 juin 2017

good information, especially some hands on sparkSQL and spark streaming

par Andrés F

10 oct. 2016

I recommend more practical work but as an introductory course it is OK.

par Gaurav D

29 juin 2018

Excellent course, great combination of theory and practical knowledge!

par Oswaldo C

27 août 2020

Se cubren los temas apropiados, además que las lecciones son concisas

par Роксолана Д

14 sept. 2017

Amazing course! A lot of practice which is relevant and interesting.

par Swapnil B

1 juin 2017

The final quiz was a bit tough and needed understanding and googling

par viper

16 août 2017

Good course, except there are some obscure place need to be modify.