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Bewertung und Feedback des Lernenden für Introduction to Big Data von University of California San Diego

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Interested in increasing your knowledge of the Big Data landscape? This course is for those new to data science and interested in understanding why the Big Data Era has come to be. It is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications, and systems. It is for those who want to start thinking about how Big Data might be useful in their business or career. It provides an introduction to one of the most common frameworks, Hadoop, that has made big data analysis easier and more accessible -- increasing the potential for data to transform our world! At the end of this course, you will be able to: * Describe the Big Data landscape including examples of real world big data problems including the three key sources of Big Data: people, organizations, and sensors. * Explain the V’s of Big Data (volume, velocity, variety, veracity, valence, and value) and why each impacts data collection, monitoring, storage, analysis and reporting. * Get value out of Big Data by using a 5-step process to structure your analysis. * Identify what are and what are not big data problems and be able to recast big data problems as data science questions. * Provide an explanation of the architectural components and programming models used for scalable big data analysis. * Summarize the features and value of core Hadoop stack components including the YARN resource and job management system, the HDFS file system and the MapReduce programming model. * Install and run a program using Hadoop! This course is for those new to data science. 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. 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. Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+....

Top-Bewertungen

HM

8. Sep. 2019

I love the course. It goes deep into the foundations, and then finishes up with an actual lab where you learn by practice. I greatly benefited from it and feel I have achieved a milestone in big data.

DK

11. Aug. 2021

I love the course. It goes deep into the foundations, and then finishes up with an actual lab where you learn by practice. I greatly benefited from it and feel I have achieved a milestone in big data.

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1601 - 1625 von 2,406 Bewertungen für Introduction to Big Data

von Priyank B

•

26. Okt. 2017

Excellent

von Alejandro D Y

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12. Juli 2017

Fantastic

von Edgar R E B

•

20. Juni 2017

Excelent.

von ramit k

•

1. Mai 2017

Excellent

von Mostafa M E

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8. Apr. 2017

very good

von Abdulaleem M

•

23. März 2017

excellent

von Suyog P

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14. März 2017

Very Good

von Ashutosh K

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26. Feb. 2017

fantastic

von Venkat R M

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23. Dez. 2016

Very good

von Cefranlly A P C

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23. Sep. 2016

Excelent!

von karthik

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30. Aug. 2016

Excellent

von Pedro D

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11. Aug. 2016

Excelente

von Paula X S L

•

11. Mai 2022

ok super

von Manjushree r k

•

21. Nov. 2021

its good

von Yassine A R

•

9. Juni 2020

helpfull

von Desu G S S

•

7. Juni 2020

Too good

von SHAKTHI S

•

30. Mai 2020

Well gud

von Novan Z

•

22. Aug. 2019

The Best

von subash k p

•

6. Juni 2017

Xcellent

von Ravi R

•

27. März 2017

good one

von Frank C

•

21. Dez. 2016

Perfect!

von Getalew A C

•

27. Jan. 2022

perfect

von Mulilkin D

•

27. Jan. 2021

Userful

von ADALBER C L

•

26. Sep. 2020

Gracias

von Flt L G R

•

11. Juni 2020

THANKS.

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