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

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


Instructors: Ilkay Altintas
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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 Apr 12, 2020
Gives us a very good understanding on Big data modeling and various data models like Graph Data model, Vector Space model (TF-IDF), Vertica, AsterixDB, Aerospike etc.
Reviewed on Feb 3, 2018
Great overview of a few databases and what they are good at. Would have liked actual hands-on like installing a database and demonstrating the key feature the database is good at.
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