Chevron Left
Big Data Modeling and Management Systems に戻る

カリフォルニア大学サンディエゴ校 による Big Data Modeling and Management Systems の受講者のレビューおよびフィードバック

4.4
2,399件の評価
386件のレビュー

コースについて

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+....

人気のレビュー

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)

フィルター:

Big Data Modeling and Management Systems: 101 - 125 / 379 レビュー

by Suraj S

May 17, 2019

one of the best courses to be mentioned.

by Chetan A

Sep 06, 2018

Gave great undestanding on the big data.

by Tejprakash U

Dec 10, 2018

course is well designed and structured.

by mostafa r m

Jan 23, 2020

very good content and good instructor

by Marcos

Apr 01, 2018

Useful to know fundamentals of BDMS.

by Emilio M

May 27, 2019

very good performace of instructors

by Alan P N

May 23, 2018

Simples e direto ao ponto!

Muito bom

by Carlos M P M

May 16, 2018

Simply, usefull and high valueable.

by Francisco A

Jun 24, 2017

Excellent material, well explained

by VIJAY M

Jan 18, 2019

Great course, great Faculty....

by Jude O

Oct 25, 2018

Excellent introductory material

by Stefan M

Oct 30, 2017

Great course, easier to follow.

by Ferry W

Jul 02, 2018

easy to understand and helpful

by Pankaj G

Dec 19, 2017

Good course, fairly detailed.

by Matías D F

Jul 03, 2017

Full content. Great Material

by Andrés F

Oct 10, 2016

Good to understand Big Data.

by alexander r

Oct 05, 2016

Thanks for the education! :)

by Sekhar T

Nov 22, 2019

Great learning experience!

by Adit M

Feb 08, 2017

Very informative course.

by Novan Z

Aug 26, 2019

Easy and understandable

by Santiago E L

Jan 04, 2018

You guys are rock stars

by Anurup B

Oct 22, 2017

Very Interesting Course

by Guillermo A A N

Jun 28, 2017

Well done and explained

by Cosmas A

Jun 19, 2017

Learning greatly here.

by Michel R

Nov 15, 2017

Perfect introduction.