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Вернуться к Big Data Modeling and Management Systems

Отзывы учащихся о курсе Big Data Modeling and Management Systems от партнера Калифорнийский университет в Сан-Диего

4.4
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Оценки: 2,901
Рецензии: 494

О курсе

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+....

Лучшие рецензии

MP
16 окт. 2017 г.

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
27 мар. 2017 г.

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)

Фильтр по:

126–150 из 484 отзывов о курсе Big Data Modeling and Management Systems

автор: Lola B

10 окт. 2017 г.

Provides a got exposure to major big data management concepts.

автор: Fernando M

19 апр. 2017 г.

Excellent course, clear explanations and attention to details.

автор: ahamed s

10 сент. 2020 г.

well designed course for the beginners in the big data field.

автор: Juan C H

27 мар. 2017 г.

Excellent professors! Everyday was a new learning experience!

автор: Juan C M L

6 сент. 2018 г.

Precise and complete approach to the data modeling subject.

автор: S.Ramya

3 нояб. 2020 г.

It is very useful,and very interesting thank you soo much

автор: Alibek M

1 апр. 2020 г.

Much more difficult than Intro part. Definitely recommend

автор: Linh N B

13 сент. 2017 г.

This course has really good hands-on examples and detail.

автор: JAMSHAID

28 дек. 2017 г.

Great course to get you started in the world of Big Data

автор: Alfonso A G

30 окт. 2016 г.

Really nice course learned much about MongoDB and Spark

автор: MEI W

3 янв. 2020 г.

Good introductory course of cloud and big data systems

автор: Francisco S H

18 июня 2019 г.

Very good course, specially the last homework. Thanks.

автор: Vikas K S

28 сент. 2018 г.

I liked the course. Everything was good at its part.

автор: Sunil K S

23 июля 2017 г.

excellent coverage of basic models and good hands on

автор: Clement F

10 окт. 2017 г.

Just what I needed. Thank you IIkay and Amarnath.

автор: Fernando G d L V

28 авг. 2017 г.

Great intro horizon to discover new technologies.

автор: Divya A P

8 июля 2018 г.

Enjoyed the Learning experience. The Hands on Ex

автор: Dhanashree K

3 апр. 2018 г.

really a very informative course for beginners!!

автор: Evangelina A

16 апр. 2021 г.

It was the best course in Big Data, very clear.

автор: Maria B O S

26 сент. 2018 г.

An appropriate course for neophytes in Big Data

автор: Guven Y

11 нояб. 2017 г.

Great course, thank you for putting it together

автор: Xiaotong ( C

25 июля 2018 г.

A pretty straight-forward introduction to DBMS

автор: Rozina S

14 мая 2018 г.

Thank you Coursera for your help and support.

автор: SKK

9 дек. 2017 г.

Very good starting point for Data Modeling!!

автор: SNEHADEEP Y S

6 июня 2020 г.

Great Excellant learning experience course