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Big Data Integration and Processing, Калифорнийский университет в Сан-Диего

4.4
Оценки: 1,402
Рецензии: 293

Об этом курсе

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+....

Лучшие рецензии

автор: 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.

автор: DC

Oct 08, 2017

Very Interactive course. Theatrical classes are nicely drafted. Hands On exercises are interesting and some are challenging too. Overall very interesting course. Happy learning

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Рецензии: 280

автор: Rozina Saherwala

Apr 22, 2019

It would be really helpful if there were full time teaching assistant whom we could directly contact for queries, since questions on forum many times go unanswered.

автор: Andreas Dhanu Saputra

Apr 21, 2019

instalation for pyspark is not working properly

автор: Nishant Upadhyay

Apr 16, 2019

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

автор: Mayank Raj

Apr 08, 2019

This course focuses entirely on theory and there are very few hands on exercises .

автор: Avishai Gold

Mar 30, 2019

The course is ok until the final project which is totally not compatible with the level of the hands on during the course ,the final project is a mess

автор: Xiuting Wang

Mar 25, 2019

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

автор: Chetan Hirapara

Mar 12, 2019

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

автор: EL MOUZARI

Mar 10, 2019

Les fonctions ne fonctionnent pas sur Jupyter. Il faut revoir ces TP !! j'ai perdu beaucoup de temps à chercher sur internet les bonnes fonctions.

автор: Srishti Ramchandani

Mar 05, 2019

Great experience towards learning this course

автор: Rafael Tardelli Pacheco dos Santos

Mar 04, 2019

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