Chevron Left
Zurück zu Introduction to Big Data

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

4.6
Sterne
10,656 Bewertungen

Über den Kurs

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.

Filtern nach:

1501 - 1525 von 2,437 Bewertungen für Introduction to Big Data

von Gagana G

20. Juni 2020

von SURAJ P

6. Juni 2020

von MIRUDHULA S

16. Mai 2020

von Vincent N J

13. Mai 2020

von Muhammad A

19. Sep. 2019

von BRUNO P D O

9. Juli 2019

von Gourav A

26. Okt. 2018

von Sharjeel H

29. Aug. 2018

von Rohit S

4. Aug. 2018

von William S L

28. Mai 2018

von Pc R

24. Juli 2017

von Ho S J

25. März 2017

von Vijaya S R S

12. März 2017

von Keith C

15. Okt. 2016

von Gonzalo A A V

13. Juli 2022

von salwa A

27. März 2022

von Celso

16. März 2022

von Le H A

27. Okt. 2021

von David G

1. Aug. 2021

von imad E A

26. Juli 2021

von Исламбек О Е

3. Jan. 2021

von Walter M L A

31. Aug. 2020

von Hemant M

21. Aug. 2020

von MUJTABA E A H

17. Aug. 2020

von WIRANIA S

5. Aug. 2020