Ilkay Altintas
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 …
Instructor Details
Courses : 6
Specification: Big Data Modeling and Management Systems
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52 reviews for Big Data Modeling and Management Systems
Add a review
| Price | Free |
|---|---|
| Provider | |
| Duration | 16 hours |
| Year | 2016 |
| Language | English |
| Certificate | Yes |
| Quizzes | No |
FREE
James w –
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.
Suraj S –
one of the best courses to be mentioned.
Tcheutchoua S S L –
This is wonderful course that explains that provides insight in to Management systems and how big data can be leveraged.
Arijit G –
v Good Couese
Saurabh K –
good
Emilio M –
very good performace of instructors
Sonali S –
Great!
Joaquim P –
Too simple.
Johan S H A –
It was very theorical and not too much practical course, so there are not exercises to understand the BDMS like Redis, AsterixDB, Solr, and the others.
Francisco S H –
Very good course, specially the last homework. Thanks.
Pasawat S –
very useful
Vivek T –
This course was so good which focuses on the basics and also on hands on sessions.
HEMANT K D –
peer review is not good for any assignment.unnecessary delay and of no use.
Rahul P –
The practical contents were too less. Too much of theory does tend to make the course a little bit boring…
Sandeep D –
Just a basic overview. Not much hands on
Diogo M –
Nice Course, The possibility of use an cloudera image for hands on is so great for cearning
Andres H –
Great Course
Manik S –
LOW QUALITY VIDEOS, OBSOLETE RESOURCES, VIRTUALLY NO TECH SUPPORT
Viraj D –
The explanation is very clear. More hands on coding and practicing should have helped in learning the concept more profoundly.
Diwen –
Peer graded assignment is very badly described.
Mohamad K –
Its extremely an important course to understand the different between DBMS and BIG data and why DBMS changed to BDMS. Its also give nice intro to unstructured data process such images and graph Nodes. Study this course will remove many questions in your mind.
Md S F –
best big data course
Mohamed H A –
Great thanks to the team worked the course.
Novan Z –
Easy and understandable
Misty S –
While the course content is very good, I feel this is not for beginners as one needs a basic knowledge of traditional relational databases for starters. The assignment helps clear the concepts and makes it understandable enough to work on it.
Marco A G O –
More focus on theory than practice, but a nice course.
Ali S –
The course was great I learned basics of different big data visualizations. Sources of big data and different tools introduced which can be very helpful. The quizes and assignments helped me to better understand the course.
Muhammad S –
Thanks for offering this course. The course is not so good because most of the portion is theoretically based. We join the Coursera for hands on courses. We study a lot of courses in our Homeland universities which are 90% theoretical. so I join Coursera to implement the concepts practically but this course is not so practical.
Mohammad M –
Big Data modeling is important consideration while designing big data solution. Most of other online courses lacks this module. Thanks to coursera for bringing this course. Five star.
Sergey K –
There is no enough practice, for final exam it is impossible to understand what is right and what is wrong even when making peer review
Francisco J H –
It was useful but I was expecting more specific exercies and practices with state of the art tools, instead of only a very high level conceptual resume of the frameworks and data types. I hope that in next specialization courses will go deeper into the specific uses.
Bhanu H –
Course material is very good. Instructors are great and talk clearly and explain well. My only difficulty is with peer reviewed assignments. There is no answer key. So how one grades depends on what he/she thinks is the right answer. I understand there is no easy solution to this problem for online courses. It is not a show stopper though since you can submit multiple times. But why not just grade using Assistant or by instructor themselves.
Mujtaba A –
It was a good course for beginners of big data modeling. I benefited much from it from the theoretical perspectives.
Kumar A –
Well rounded course with theoretical discussion and hand on sessions
Kamlesh K –
Good Course! Explain a lot about the Modeling and Management System in Big Data. Also, give practical experience in Big Data Management and play around models
Sayed M –
Excellently designed course content and organized topics. I like very much the way Ilkay and Amarnath explains on various subjects.
David P G –
No extra readings are provided to deepen the knowledge. Hands on are not maintained as outdate info is presented in the Hands On labs. Twitter HandsOn is not correctly explained.
Alberto R –
Material is very high level with very little practice examples. The attached documentation doesn’t really add anything to the course and the quizzes are quick and simple.
Priyadarshi V –
The content is really good and informative. More hands on would be helpful. Extending the tree structure problem in the pink flamingo exercise was bit confusing.
Sekhar T –
Great learning experience!
Iskan S –
it is very helpful
Swadish V –
I am totally new to big data. This course give me an immense knowledge about modelling.
Luis R G –
Great course to learn and also practice how data can be visualized and how to model data, formats and how important is to choose appropriate data format and model
Chandrakanth B –
I could able to learn how big data is helping in modeling and nanagement
Tariq A –
Very well organized and conceived. By following the course, I was able to learn and build on the concepts with minimal questions or frustration. It taught me what I was looking to learn, was well organized, and well paced. I’m already applying what I learned at work.
MEI W –
Good introductory course of cloud and big data systems
Basil C –
This is a great crash course for beginners to get up to speed. Would be great to cover more modelling techniques and real world case studies. Thank you I’ve learned much from both Ilkay Altintas and Amarnath Gupta. Congratulations.
mostafa r m –
very good content and good instructor
Ahmed M S –
Excellent course, many fundamental concepts of big data modeling are discussed in a simple and clear way.
dharmesh –
thanks to cousera providing such platform for learners and i am thank to uc san diego team for course
S. M Y I –
The course laid a good theoretical base for further exploration of Big data Analytics.
Ankit C –
It’s a good course to get an overview of different technologies that are out there. I would highly recommend this course to anyone who wants to build a foundation for big data.