糖心vlog官网观看

Chevron Left
Back to Big Data Modeling and Management Systems

Learner Reviews & Feedback for Big Data Modeling and Management Systems by University of California San Diego

4.4
stars
3,008 ratings

About the Course

Once you鈥檝e 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 鈥淎bout This Mac.鈥� 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+....

Top reviews

MP

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.

VG

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)

Filter by:

276 - 300 of 513 Reviews for Big Data Modeling and Management Systems

By PRAVEEN S B

鈥�

Jun 6, 2020

Excellent

By Dilara B

鈥�

Feb 25, 2019

thank you

By Jose R O

鈥�

Jun 30, 2018

Very nIce

By Anup K M

鈥�

Apr 22, 2018

very good

By Ronaldo E

鈥�

Jun 20, 2017

Excelent.

By Hamada I M

鈥�

May 19, 2017

very good

By Edgard M M

鈥�

Feb 3, 2017

muito bom

By Ben W

鈥�

Nov 11, 2016

Excellent

By Srinivas B

鈥�

Sep 27, 2016

Excellent

By Enrique G R

鈥�

Jul 1, 2016

Very Good

By PALAK G

鈥�

Jul 14, 2020

Amazing!

By Suraj P

鈥�

Jun 18, 2020

good one

By RAJAT S

鈥�

May 4, 2020

nice one

By Pedro D

鈥�

Sep 25, 2016

Muy bien

By Farheen m

鈥�

Jan 20, 2022

amazing

By Nikita E

鈥�

Jun 10, 2017

Perfect

By Sonali S

鈥�

May 28, 2019

Great!

By Anil K

鈥�

Apr 24, 2020

Great

By Mayank c

鈥�

Apr 11, 2019

G

r

e

a

t

By Lisbeth R

鈥�

May 5, 2017

great

By Ho脿ng T

鈥�

Dec 3, 2024

Goof

By Drumil v

鈥�

May 6, 2024

nice

By boulealam c

鈥�

Dec 3, 2020

good

By Veerabasappa

鈥�

Sep 17, 2020

Good

By RAGHUVEER S D

鈥�

Jul 25, 2020

good