Chevron Left
Volver a Big Data Integration and Processing

Opiniones y comentarios de aprendices correspondientes a Big Data Integration and Processing por parte de Universidad de California en San Diego

2,367 calificaciones

Acerca del 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 reseñas


21 de oct. de 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 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.

Filtrar por:

26 - 50 de 502 revisiones para Big Data Integration and Processing

por Ying H

18 de oct. de 2020

por Charles G

14 de dic. de 2017

por Dhananjay W

8 de oct. de 2020

por Mouâd B

6 de dic. de 2021

por Allyson D d L

19 de nov. de 2021

por Ana L

3 de sep. de 2018

por Martin D

15 de ago. de 2020

por Yuri C

3 de mar. de 2022

por Marshall

29 de sep. de 2021

por Sarsiz C

28 de jun. de 2017

por Kenat T F G

21 de abr. de 2017

por Dhawal K

15 de feb. de 2017

por Suresh V

29 de may. de 2017

por Nwogbo b C

27 de may. de 2020

por Misty S

28 de ago. de 2019

por Sivakumar A

22 de feb. de 2018

por Andres H

11 de may. de 2019

por Helder V

12 de ago. de 2017

por Jorge V

23 de dic. de 2018

por wania k

30 de jul. de 2019


12 de mar. de 2018

por Andrea C

15 de oct. de 2016


22 de oct. de 2020

por Federico A G C

25 de sep. de 2016

por Hans E

3 de nov. de 2017