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Avis et commentaires pour l'étudiant pour Big Data Modeling and Management Systems par Université de Californie à San Diego

4.4
2,133 notes
347 avis

À propos du cours

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+....

Meilleurs avis

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)

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126 - 150 sur 337 Examens pour Big Data Modeling and Management Systems

par Divya A P

Jul 08, 2018

Enjoyed the Learning experience. The Hands on Ex

par Guillermo A A N

Jun 28, 2017

Well done and explained

par Jose L R

Oct 13, 2018

Great course! Please update the hands on!

par John C

Aug 19, 2018

A very nice introduction to the subject. Like in any other discipline one needs to practice in order to verify that you know the theory. Will continue signing up for more courses and specialitations. Very happy with the way things are going.

par Savitha R

Sep 15, 2018

Bit tough concepts. The concepts get evaporated in sometime. Still trying to hold onto it :).

par María B O S

Sep 26, 2018

An appropriate course for neophytes in Big Data

par Jamiil T A

Sep 26, 2018

An interesting course on BDMS and DBMS you will real learn more about the velocity and volume aspect of the big data. Good luck !

par Vikas K S

Sep 28, 2018

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

par Jude O

Oct 25, 2018

Excellent introductory material

par Xiaotong C

Jul 25, 2018

A pretty straight-forward introduction to DBMS

par Liliana d C C M

Apr 17, 2019

muy buen curso

par Routhana L

Apr 10, 2019

As a undergraduate data analytics student, this course was an enlightening experience that complemented my more theoretical, less-applicational on campus course very well.

par Mayank C

Apr 10, 2019

G

r

e

a

t

par Suraj S

May 17, 2019

one of the best courses to be mentioned.

par Sonali S

May 27, 2019

Great!

par Saurabh K

May 26, 2019

good

par Emilio M

May 27, 2019

very good performace of instructors

par Tcheutchoua S S L

May 19, 2019

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

par Arijit G

May 20, 2019

v Good Couese

par Francisco S H

Jun 18, 2019

Very good course, specially the last homework. Thanks.

par Pasawat S

Jun 19, 2019

very useful

par Vivek T

Jun 30, 2019

This course was so good which focuses on the basics and also on hands-on sessions.

par Diogo M

Jul 22, 2019

Nice Course, The possibility of use an cloudera image for hands on is so great for çearning

par Andres H

Aug 03, 2019

Great Course

par James w

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.