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.
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- Data Model
- Big Data
- Data Modeling
- Data Management
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캘리포니아 샌디에고 대학교
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.
강의 계획표 - 이 강좌에서 배울 내용
Introduction to Big Data Modeling and Management
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.
Big Data Modeling
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.
Big Data Modeling (Part 2)
These lessons continue to shed light on big data modeling with specific approaches including vector space models, graph data models, and more.
Working With Data Models
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.
검토
- 5 stars58.36%
- 4 stars28.21%
- 3 stars9.16%
- 2 stars2.52%
- 1 star1.73%
BIG DATA MODELING AND MANAGEMENT SYSTEMS의 최상위 리뷰
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
Great course to learn and also practice how data can be visualized and how to model data, formats and how important is to choose appropriate data format and model
Pretty good overall, although some exercises are a bit difficult to understand from the descriptions and instructions given, some graphs and initial reference documentation for exercises might help
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.
빅 데이터 특화 과정 정보
Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.

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