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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



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)


Big Data Modeling and Management Systems: 126 - 150 / 403 レビュー

by Sekhar T

Nov 22, 2019

Great learning experience!

by Mrinal K R

Jul 09, 2020

Very Interesting course.

by Adit M

Feb 08, 2017

Very informative course.


Jun 10, 2020

Content is mind blowing

by C R

Jun 03, 2020

learned lot, thank you.

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.

by Tamás B

Aug 14, 2016

Interesting course :)

by Md S F

Aug 20, 2019

best big data course

by Lorie S

May 25, 2018

Interesting Course.


Feb 15, 2018

i loved this course

by Sabawoon S

Jan 23, 2018

Excellent content.

by Pavithra

May 16, 2020

improve my skilis

by Wiboon O

Mar 06, 2019

Very good lessons

by Prasad G

Mar 18, 2017

Excellent course.

by Dr. J P M

May 02, 2020

Excellent Course

by Andrea C

Mar 14, 2019

Excellent course

by Chenyang A

Feb 17, 2018

Wonderful course

by laksh b

Feb 19, 2017

excellent course

by jose l

Feb 15, 2017

Very Good course

by Guilherme S

Jan 17, 2019

Excelent course