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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
2,121 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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26 - 50 sur 336 Examens pour Big Data Modeling and Management Systems

par Мухамбетов Р А

Oct 19, 2016

interesting

par Alfonso A G

Oct 30, 2016

Really nice course learned much about MongoDB and Spark

par laksh b

Feb 19, 2017

excellent course

par mudit

Nov 18, 2017

good course

par An D

Mar 13, 2017

Thank you!

par Hans E

Oct 22, 2017

Good mix of theory and practice. Nice hands-on excercises with Twitter, MongoDb, Posgres etc.

par Sayed T S

Apr 13, 2017

It was a great course from the best place in the world and best instructors .

par Tandy S

Sep 22, 2017

It's a great source to understand what is Big Data from concepts to its technologies

par Joydeep S

Jul 18, 2017

This course was really nice and very well put together. I learned a lot and more so, learned in a structured manner. For people like me who come from traditional data background and new to big data concepts this way of presenting the course is very important and fruitful. I hoping to complete the rest of the courses in this series and end up with a good depth in knowledge of big data

par Prasad G

Mar 18, 2017

Excellent course.

par kundan k

Apr 14, 2018

nice course

par Michel R

Nov 15, 2017

Perfect introduction.

par Suresh V

Apr 20, 2017

I really enjoy learning for the first time after a long time. I will keep learning.

par Sukanta M

Nov 15, 2017

I was looking for this type of course of BigData. I have spent hours to read through different blogs and articles. But couldn't get better idea/direction how to start or where to start. This is ideal course for getting started on Big Data. I enjoyed all the slides and hands on very much. Thank you.

par agentVargas2012R

Nov 01, 2017

This course is amazing!! Amarath teaches this course like a boss.

par Pijush K G

Jun 03, 2018

Good course.

par Vikas G

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)

par Francisco A

Jun 24, 2017

Excellent material, well explained

par MOTHUKURI S K P

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.

par Marcos

Apr 01, 2018

Useful to know fundamentals of BDMS.

par Ajinkya B

Jun 10, 2018

Great Course

par Adit M

Feb 08, 2017

Very informative course.

par Santiago E L

Jan 04, 2018

You guys are rock stars

par SKK

Dec 09, 2017

Very good starting point for Data Modeling!!

par Luis M M R

Dec 22, 2017

very good!