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Volver a Big Data Integration and Processing

Big Data Integration and Processing, University of California San Diego

4.4
1,216 calificaciones
268 revisiones

Acerca de este 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+....

Principales revisiones

por 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.

por 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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257 revisiones

por Billu

Dec 10, 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Technical support for hands-on work is ridiculously out of date at the rare occasion it is available.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 José Guerra de Andrade Lima Neto

Dec 04, 2018

Perfect

por Bhola Nath Rajwar

Dec 04, 2018

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

por Juan Javier Santos Ochoa

Dec 01, 2018

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

por Esteban Echavarría Collazos

Nov 30, 2018

Great course :)

por Nick Barker

Nov 28, 2018

Enjoyed the class. It was very enlightening.

por André Guimarães Pamplona

Nov 09, 2018

Great course.

por Jude Ofili

Nov 06, 2018

This course was a bit tough but I am excited I completed it.

por Guillem Clot Massons

Nov 01, 2018

The final week is quite difficult

por Jürgen Brust

Oct 31, 2018

Good overview.