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
99,473 already enrolled
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Gain insight into a topic and learn the fundamentals.
4.4
(2,996 reviews)
13 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace
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Assessments
4 assignments
Taught in English
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This course is part of the Big Data Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 6 modules in this course
Welcome to this course on big data modeling and management. Modeling and managing data is a central focus of all big data projects. In these lessons we introduce you to the concepts behind big data modeling and management and set the stage for the remainder of the course.
What's included
14 videos8 readings3 discussion prompts
Modeling big data depends on many factors including data structure, which operations may be performed on the data, and what constraints are placed on the models. In these lessons you will learn the details about big data modeling and you will gain the practical skills you will need for modeling your own big data projects.
What's included
11 videos12 readings1 assignment2 discussion prompts
These lessons continue to shed light on big data modeling with specific approaches including vector space models, graph data models, and more.
What's included
5 videos5 readings1 assignment
Data models deal with many different types of data formats. Streaming data is becoming ubiquitous, and working with streaming data requires a different approach from working with static data. In these lessons you will gain practical hands-on experience working with different forms of streaming data including weather data and twitter feeds.
What's included
5 videos5 readings1 assignment1 discussion prompt
Managing big data requires a different approach to database management systems because of the wide variation in data structure which does not lend itself to traditional DBMSs. There are many applications available to help with big data management. In these lessons we introduce you to some of these applications and provide insight into how and when they might be appropriate for your own big data management challenges.
What's included
7 videos2 readings1 assignment
In these lessons we give you the opportunity to learn about big data modeling and management using a fictitious online game called "Catch the Pink Flamingo".
What's included
1 reading1 peer review2 discussion prompts
Instructors
Instructor ratings
4.5 (151 ratings)Offered by
Recommended if you're interested in Data Analysis
Universitat Autònoma de Barcelona
Johns Hopkins University
Universidad Nacional Autónoma de México
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4.4
2,996 reviews
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Showing 3 of 2996
JW
5
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.
BN
4
Reviewed on May 10, 2020
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
AG
4
Reviewed on Oct 8, 2017
Lot of new information, excellent delivery. Given 4 as I feel real-use case flavor is inadequate -exercises could be more intensive, real case studies can be added.
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