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.
This course is part of the Big Data Specialization
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About this Course
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Try Coursera for BusinessSkills you will gain
- Data Model
- Big Data
- Data Modeling
- Data Management
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Syllabus - What you will learn from this course
Introduction to Big Data Modeling and Management
Big Data Modeling
Big Data Modeling (Part 2)
Working With Data Models
Reviews
- 5 stars58.33%
- 4 stars28.18%
- 3 stars9.15%
- 2 stars2.53%
- 1 star1.79%
TOP REVIEWS FROM BIG DATA MODELING AND MANAGEMENT SYSTEMS
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.
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.
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.
Was a very hands-on experience with the Hadoop ecosystem streaming and analysis of live tweets from twitter gave a general outlook on how to perform simple operations with the HDFS
About the Big Data Specialization

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