Non-relational Data: Non-relational Databases

NoSQL    |    Beginner
  • 12 Videos | 46m 57s
  • Includes Assessment
  • Earns a Badge
Non-relational (NoSQL) databases are attractive for working with Big Data because they provide a way to store data from different sources in the same document and organize large amounts of diverse and complex data. Use this course to discover the principles behind non-relational databases and NoSQL, explore their benefits, and examine different types of non-relational architectures, such as document, key-value, graph, columnar, and multi-model databases. You'll also get familiar with HBase and NewSQL. After finishing this course, you will be able to identify the suitable NoSQL database required for any given business problem.


  • discover the key concepts covered in this course
    define a non-relational database and describe how it does not use the traditional schema of rows and columns as found in traditional database systems
    describe how the NoSQL approach facilitates the horizontal distribution of large, structured, and unstructured data and specify when to use NoSQL and SQL databases
    recognize the role of NoSQL databases in horizontal distribution of large, structured, and unstructured data
    identify how document databases are designed to store and query data as JSON-like documents and outline their benefits and use cases
    specify the use cases, benefits, and challenges of popular key-value data stores
  • describe use cases of graph databases and specify why the relationship between data is as important as the data itself in such a database
    describe the concept of columnar databases, which store data in a column-wise format
    outline how HBase architecture works and compare column and row-wise storage of data
    specify how multi-model databases combine different types of database models into one integrated database engine
    describe the upcoming NewSQL trend and its benefits
    summarize the key concepts covered in this course



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