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Voltar para Big Data Integration and Processing

Comentários e feedback de alunos de Big Data Integration and Processing da instituição Universidade da Califórnia, San Diego

4.4
estrelas
2,280 classificações
490 avaliações

Sobre o 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+....

Melhores avaliações

SB
21 de Out de 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.

AA
5 de Mar de 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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301 — 325 de 479 Avaliações para o Big Data Integration and Processing

por Billu

20 de Dez de 2018

Technical support for hands-on work is ridiculously out of date at the rare occasion it is available. and i’m paying for this course!

por ISLAM K

26 de Mar de 2018

this course is great , its giving many hands-on sessions that allow the student to be on the way of being professional in this career

por Gnana P B

15 de Out de 2019

It is good course. Some instructions followed not working, course instructions and supplied resources requires update. thank you

por Gopi N

30 de Out de 2018

Need more hands-on for final test, would really help to have extra two weeks split with just good handson. Before final test

por Omprakash S

15 de Jan de 2018

More Hands on experience should be included.

Reading of Apache Spark documentation should be made mandatory for beginners.

por Rafael T P d S

4 de Mar de 2019

The last quiz was very hard to complete. I didn't found enough content to solve que questions in the course material.

por Samarth S

11 de Abr de 2018

Need more explainaion. There are few videos such as that of RDD where I found difficulty in understanding the concept

por Jyothi-Raghav J

2 de Nov de 2017

Except for the exercise where it was frustrating to get the Spark Streaming to work, it was a very good learning.

por Mohamed

17 de Set de 2017

Need a references for any one want to read more about each subject. I recommend have it at the end of each Week.

por Prashant K

15 de Out de 2017

Helpful course to learn the basic components and processing on Apache Spark. Course quiz for MongoDB is great.

por Bhola N R

4 de Dez de 2018

The assignments for Week6 was really tough, request to provide more hints or support in completing the same.

por Juan J S O

1 de Dez de 2018

I learnt a lot in this course, but is hard. Many times the instructions in the assignments were not enough.

por Manish S

10 de Fev de 2018

For better practice, more question sets should be provided apart from the quizzes that we already have.

por Devi V V

23 de Jan de 2017

course is very good. Excercises are very good. learnt alot about the mongodb and spark sql and RDD's

por Gustavo J

16 de Nov de 2017

This is mre interesting than the previous courses on the Big Data Specialization. More hands on...

por Ahmad M E R

1 de Mar de 2019

The most interesting part in this course dealing with spark and the final quiz is really amazing

por Cordell M

22 de Jul de 2017

that last spark exam was really hard. the script took a long time to finally get working

por Xiuting W

25 de Mar de 2019

Useful course. Give more examples of small projects would make this course better.

por Benh L S

27 de Fev de 2020

Very good, but a few glitches with the instructions to setup PySpark in my view.

por Ripunjay K

13 de Dez de 2019

Good course to enhance knowledge. Data sheet for code should be given separately

por Gabriel T

1 de Fev de 2018

Awesome lectures and hands-on. Learned a whole lot. Thanks for a great course.

por Jamal A

28 de Abr de 2017

Pros: covers lots of good topics about Big Data

Cons: No real big data exercise

por Yujie G

3 de Nov de 2020

Some of the cousera material is not clear and also the final quiz is too hard

por Stig

20 de Nov de 2017

I some issues with installation of the right versions for assignments etc.

por Suraj J W

3 de Ago de 2019

A BIG THANKS for all your help to learn others about this new technology.