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Kursteilnehmer-Bewertung und -Feedback für Big Data Modeling and Management Systems von University of California San Diego

2,604 Bewertungen
428 Bewertungen

Über den Kurs

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+....



Oct 17, 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.


Mar 28, 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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176 - 200 von 418 Bewertungen für Big Data Modeling and Management Systems

von Maria F O D

May 31, 2017


von Mars W

Feb 23, 2017

good course

von Мухамбетов Р А

Oct 19, 2016


von José G d A L N

Nov 16, 2018



Jan 16, 2018

I like it!

von Luis M M R

Dec 22, 2017

very good!

von An D

Mar 13, 2017

Thank you!

von Kamlesh C

Jul 12, 2020

Thank you

von Julian D O H

Jul 09, 2020



Jul 08, 2020



Jun 06, 2020


von Dilara B

Feb 24, 2019

thank you

von Jose R O

Jun 29, 2018

Very nIce

von Anup K M

Apr 22, 2018

very good

von Edgar R E B

Jun 20, 2017


von Hamada I M

May 19, 2017

very good


Feb 02, 2017

muito bom

von Ben W

Nov 11, 2016


von Srinivas B

Sep 26, 2016


von Enrique G R

Jul 01, 2016

Very Good

von Palak G

Jul 14, 2020


von Suraj P B

Jun 18, 2020

good one


May 04, 2020

nice one

von Pedro E D d C

Sep 24, 2016

Muy bien

von Ерилин Н

Jun 09, 2017