This two day training course focuses on the data modeling in Apache Cassandra. Many people are drawn to Apache Cassandra for performance, high availability, and tunable consistency. What is not recognized is that there are many design patterns that can be applied to modeling data in Apache Cassandra that can lead to powerful applications that solve some very interesting use cases. This course will cover some of the most common use cases and demonstrate how complex problems can be solved in Apache Cassandra by taking clever advantage of they way Cassandra stores data.

Training Outline

    Elements of Data Modeling in Apache Cassandra
        Keyspaces
        Column Families
    Column Families
        Sorting
        Data Types
        Validation Types
        Columns and SuperColumns
        Data References / Surrogate Keys
    Introduction to Indexing in Cassandra
        Primary
        Secondary
        Custom
    Twissandra
    Primary Indexes and Partitioners
    Secondary Indexes
    Overview of Custom Indexes
    Using Custom Indexes for Sorted Lists
        Deletes
        Inserts
        Duplicate Entries
        Multiple Sort
    Indexing data with wide rows
    Effective Usage Patterns in Cassandra
    Logging to Cassandra
    Event processing and status with Cassandra
    Modeling workflow in Cassandra
    Modeling Time Series Data with roll-ups
    Modeling achievements in Cassandra
    Counting Votes with Cassandra (Aggregation)
    Effective use of Counters
    Using wide rows for grouping
    Composite Columns
    Primary Indexes and Partitioners
    Counters
    Introduction to Hadoop
    MapReduce
    Introduction to DSE, or Cassandra + Hadoop
    Running WordCount on Cassandra
    Portfolio Demo Overiew
    Pig with Cassandra