Chevron Left
Big Data Modeling and Management Systems(으)로 돌아가기

Big Data Modeling and Management Systems, 캘리포니아 샌디에고 대학교

4.3
1,996개의 평가
325개의 리뷰

About this Course

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+....

최상위 리뷰

대학: 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.

대학: 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)

필터링 기준:

314개의 리뷰

대학: Arijit Ghosh

May 20, 2019

v Good Couese

대학: Tcheutchoua Saldeu Steve Lionel

May 19, 2019

This is wonderful course that explains that provides insight in to Management systems and how big data can be leveraged.

대학: Suraj Saha

May 17, 2019

one of the best courses to be mentioned.

대학: James woodhouse

May 08, 2019

I feel as though the assessment questions could have been more specific and the assessment criteria when marking could have been more precise. But other than that it was a great course.

대학: Ra'ed Awdeh

May 07, 2019

Fix the mistakes!

대학: Javed Ahmad

Apr 24, 2019

Very good Instructors. I have learnt a lot. Thanks to COURSERA.

대학: Liliana del Carmen Castellanos Montero

Apr 17, 2019

muy buen curso

대학: Brian Sotelo

Apr 15, 2019

Expected more hands-on activities and more advanced tasks

대학: Izabelle Azevedo

Apr 11, 2019

Cannot finish Twitter activities as commands shown in the video apparently don´t work with the most recent pyhton version. I am very disappointed about it, since I am mostly focused on Twitter-related data.

대학: Mayank Choudhary

Apr 10, 2019

G

r

e

a

t