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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

4.4
2,841件の評価
476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
2017年10月16日

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
2017年3月27日

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: 226 - 250 / 465 レビュー

by Samir G

2016年11月21日

Very helpful

by Thuong D H

2016年9月22日

Good course!

by Mohamed R A

2021年3月9日

Excellent -

by Bud P

2020年9月21日

very useful

by Khue N N

2020年6月29日

Good course

by Abdo S

2020年6月19日

really good

by N. B R r

2020年5月31日

Best course

by Pasawat S

2019年6月19日

very useful

by kundan k

2018年4月14日

nice course

by mudit

2017年11月18日

good course

by Maria F O D

2017年5月31日

Excellent!!

by Mars W

2017年2月23日

good course

by радмир М

2016年10月19日

interesting

by José G d A L N

2018年11月16日

Incredible

by YEVHEN K

2018年1月16日

I like it!

by Luis M M R

2017年12月21日

very good!

by An D

2017年3月12日

Thank you!

by Kamlesh C

2020年7月12日

Thank you

by Julian D O H

2020年7月8日

Excelent!

by VISHNU T B

2020年7月8日

Excellent

by PRAVEEN S B

2020年6月5日

Excellent

by Dilara B

2019年2月24日

thank you

by Jose R O

2018年6月29日

Very nIce

by Anup K M

2018年4月22日

very good

by Edgar R E B

2017年6月20日

Excelent.