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
Access provided by SVEC + MBU
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Reviewed on Mar 27, 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)
Reviewed on May 7, 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.
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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