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Opiniones y comentarios de aprendices correspondientes a Big Data Modeling and Management Systems por parte de Universidad de California en San Diego

2,932 calificaciones

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Once you’ve identified a big data issue to analyze, how do you collect, store and organize your data using Big Data solutions? In this course, you will experience various data genres and management tools appropriate for each. You will be able to describe the reasons behind the evolving plethora of new big data platforms from the perspective of big data management systems and analytical tools. Through guided hands-on tutorials, you will become familiar with techniques using real-time and semi-structured data examples. Systems and tools discussed include: AsterixDB, HP Vertica, Impala, Neo4j, Redis, SparkSQL. This course provides techniques to extract value from existing untapped data sources and discovering new data sources. At the end of this course, you will be able to: * Recognize different data elements in your own work and in everyday life problems * Explain why your team needs to design a Big Data Infrastructure Plan and Information System Design * Identify the frequent data operations required for various types of data * Select a data model to suit the characteristics of your data * Apply techniques to handle streaming data * Differentiate between a traditional Database Management System and a Big Data Management System * Appreciate why there are so many data management systems * Design a big data information system for an online game company 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


16 de oct. de 2017

Good Explanations of Concepts and Nice Tests. I got a trilling experience in completing the peer Assignments with keen observation and Analyzing of Concepts learned.Thanq for your course very much.


27 de mar. de 2017

Nice course to describe the traditional data modeling (RDBMS) as well as various semi-structured and un-structured data modeling and management of the systems (Batch and Streaming data processing)

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251 - 275 de 495 revisiones para Big Data Modeling and Management Systems

por Mars W

23 de feb. de 2017

good course

por радмир М

19 de oct. de 2016


por Ke L

10 de nov. de 2021

Thank you!

por José G d A L N

16 de nov. de 2018



16 de ene. de 2018

I like it!

por Luis M M R

21 de dic. de 2017

very good!

por An D

12 de mar. de 2017

Thank you!

por Abul B

14 de abr. de 2022


por Kamlesh C

12 de jul. de 2020

Thank you

por Julian D O H

8 de jul. de 2020



8 de jul. de 2020



5 de jun. de 2020


por Dilara B

24 de feb. de 2019

thank you

por Jose R O

29 de jun. de 2018

Very nIce

por Anup K M

22 de abr. de 2018

very good

por Edgar R E B

20 de jun. de 2017


por Hamada I M

18 de may. de 2017

very good


2 de feb. de 2017

muito bom

por Ben W

11 de nov. de 2016


por B S

26 de sep. de 2016


por Enrique G R

30 de jun. de 2016

Very Good


14 de jul. de 2020



18 de jun. de 2020

good one


3 de may. de 2020

nice one

por Pedro D

24 de sep. de 2016

Muy bien