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

4.4
estrellas
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

SB

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.

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.

Filtrar por:

251 - 275 de 502 revisiones para Big Data Integration and Processing

por GOKUL M B

25 de sep. de 2020

por RAGHUVEER S D

25 de jul. de 2020

por Anvitha K

17 de jun. de 2020

por Aji N J

25 de may. de 2020

por Maansi

22 de may. de 2020

por aleksei a

20 de mar. de 2020

por Arthur-Lance

24 de sep. de 2017

por SHAKTHI S

3 de jun. de 2020

por Mostafa R

15 de feb. de 2020

por bagiya k

6 de sep. de 2020

por Mahesh P

9 de oct. de 2018

por Irfan S

19 de oct. de 2017

por CHEMAK C

13 de oct. de 2016

por Santiago V M

21 de oct. de 2020

por Michael L

22 de mar. de 2020

por Misha

12 de jul. de 2020

por Anurag S

13 de sep. de 2018

por Nikhil C

20 de ago. de 2020

por Jeffrey K

9 de nov. de 2020

por Abhishek K G

28 de ene. de 2020

por Hector D I

6 de ago. de 2021

por Devendran M

21 de dic. de 2020

por Vincent R

28 de mar. de 2018

por Joao C C d F P d C

30 de nov. de 2016

por Laura R

5 de ago. de 2020