Learn how to diagram logical models in Cassandra.
- [Instructor] If you have to store large volumes…of time series data,…you could end up with a large number of timestamps…and measures in a row.…Now I should point out, by row,…we don't mean the row in a relational database sense.…What we really mean is data associated…with a partition key.…When you hear the phrase, wide row,…it might help to think, wide values by partition key.…In our server CPU utilization example,…we used server_id as the key.…If we decide to collect data much more frequently…than once per second,…say every millisecond,…then storing so much data in a single partition…can lead to poor query performance.…
We can solve this problem by making…a finer grained partition.…For example, we could partition by server and by date.…Here's a create table statement that does that.…The table will partition rows by the compound key…of server_id and measure_date.…Another useful feature of Cassandra is the Time to Live,…or TTL feature of a column.…When we insert data,…we can specify how long the data should remain…
- 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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