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Big Data Integration and Processing, Université de Californie à San Diego

4.4
1,395 notes
291 avis

À propos de ce 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

par 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.

par SK

Dec 08, 2016

The assessments are quite tough compared to the course examples. Moreover, some programming basics should be given or made to understand, especially in Spark, as these are very

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278 avis

par Nishant Upadhyay

Apr 16, 2019

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

par Mayank Raj

Apr 08, 2019

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

par 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

par Xiuting Wang

Mar 25, 2019

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

par Chetan Hirapara

Mar 12, 2019

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

par 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.

par Srishti Ramchandani

Mar 05, 2019

Great experience towards learning this course

par 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.

par Markus.schwarz.de@gmail.com

Mar 03, 2019

With deep regrets I feel obliged to share a negative rating on the course. While the course material/video lectures are average to good (no rocket science but well done introduction into the subjects), the hands-on exercises and particularly the technical environment, i.e. Cloudera VM is entirely messed-up: - setup scripts are not working/ are outdated (e.g., anaconda requires no-check-certificate); user permissions are all set wrong and need to be corrected; firefox outdated with update function not working; countless error around spark context (SC) variables.... and so on... For a course that is so prominently promoted on the platform the least expectation is that the provided environment works and that students don´t need to spend hours on google to figure out how to debug the cloudera image.... Here, imo, a much better job can be done!

par Kajal Nathani

Mar 03, 2019

Great experience towards this course