Learn how to develop a data model for time-series data.
- [Instructor] Time series data is data…that has values associated with time points.…So for example, CPU utilization measured at the start…of every minute is an example of time series data.…Time series data is easy to recognize.…There is a time stamp with each record…and each record has the same attributes.…In our early example, we just had CPU utilization measures,…but we could add additional metrics,…such as the number of kilobytes written…to the network, as in this table.…
A simple way to model time series in Cassandra…is to use what is called a wide row.…Let's keep things simple and just track CPU utilization.…In this table, server CPU utilization,…we have a server ID, a time stamp,…and then a CPU utilization measure,…which we store as an integer.…The primary key is the server ID and the measure time.…The partition key is the server ID,…and the cluster key is the measure time.…
We can insert data into this table…using insert statements like these.…Each insert statement will insert one set of measures…for AppServer1 on a particular day,…
- Cassandra architecture
- Keyspaces, tables, and columns
- Installing Java and Cassandra
- CQL data types
- Designing Cassandra tables
- Tuning tables to optimize queries
- When to use secondary indexes and materialized views
- Physical data modeling and distributing data
- Cassandra architecture and its impact on data modeling
Skill Level Intermediate
1. Cassandra Architecture
2. Cassandra Query Language Data Types
3. Designing Cassandra Tables
4. Physical Data Modeling and Distributing Data
Replication in Cassandra2m 1s
5. Cassandra Architecture and Its Impact on Data Modeling
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