Working with Apache Cassandra: Using Collection & User-defined Fields

Apache Cassandra 4.0    |    Intermediate
  • 11 videos | 1h 5m 17s
  • Includes Assessment
  • Earns a Badge
Apache Cassandra does not support joins, which means that data is inherently denormalized. That gives rise to the need for collection fields such as sets, maps, and lists, as well as for user-defined types that allow the table creator to encapsulate related fields. Begin this course by working with set, map, and list types. Then, focus on user-defined types and counter fields. Finally, you'll learn how to work with CSV and JSON data - including reading data from and writing data to a CSV file and displaying query results in JSON format. Upon completion, you'll be able to enumerate and contrast collection fields in Cassandra; define and use set, map, and list types; leverage user-defined types and counters; and work with JSON and CSV data and the COPY command.

WHAT YOU WILL LEARN

  • discover the key concepts covered in this course
    create date and set fields in Cassandra
    query and modify set fields in Cassandra
    create and use lists in Cassandra
    store key-value pairs in maps
    store nested collections within frozen collections
  • create and use user-defined types
    create tables with counter fields
    read and write CSV data
    view and insert data in JSON format
    summarize the key concepts covered in this course

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    1m 36s
    UP NEXT
  • Playable
    2. 
    Using Set Fields in Cassandra
    8m 44s
  • Locked
    3. 
    Querying and Modifying Set Fields in Cassandra
    5m 19s
    FREE ACCESS
  • Locked
    4. 
    Using List Fields in Cassandra
    8m 2s
    FREE ACCESS
  • Locked
    5. 
    Storing Key-value Pairs in Maps
    5m 43s
    FREE ACCESS
  • Locked
    6. 
    Using Nested Collections
    6m 9s
    FREE ACCESS
  • Locked
    7. 
    Using User-defined Types
    6m 48s
    FREE ACCESS
  • Locked
    8. 
    Using Counter Fields
    5m 12s
    FREE ACCESS
  • Locked
    9. 
    Reading and Writing Data from CSV Files
    7m 56s
    FREE ACCESS
  • Locked
    10. 
    Using Data in JSON Format
    6m 47s
    FREE ACCESS
  • Locked
    11. 
    Course Summary
    3m 1s
    FREE ACCESS

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