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.

Big Data Modeling and Management Systems
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Big Data Modeling and Management Systems
This course is part of Big Data Specialization


Instructors: Ilkay Altintas
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There are 6 modules in this course
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University of California San Diego

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University of California San Diego
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Reviewed on Mar 6, 2018
Pretty good course. The peer corrected assignment is avoidable. Instead, a little bit of programming may be introduced! The course becomes extremely boring due to only theoretical aspects and quizzes.
Reviewed on Oct 10, 2018
It was a difficult module, although trainer tried to convey but seems it is more complex it took time for me to understand the concept and apply the same while doing my assignment.
Reviewed on Oct 30, 2016
Overall relevant and clear presentations. Course material quite general, but I guess this is expected from an introductory-level course.Peer-reviewed assignment's instructions can be clearer.

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