Understand the basic data structures to define a Cassandra database.
- [Instructor] In Cassandra, the top level data structure…is the Keyspace.…This is like a schema in relational databases.…Keyspaces are logical containers for tables, indexes,…and other data structures.…Now in addition to providing a namespace…for organizing data, the keyspace has attributes…that control some important features of Cassandra.…When you define a keyspace,…you also define a replication strategy.…This determines how replicas of data are made.…Remember, replicas are an important, high availability…feature of Cassandra.…
If a node fails, the data on the failed node,…can still be accessed from one of its replicas.…There are two kinds of replication strategies.…The simple replication strategy is used to set…a number of replicas when all nodes will be in…a single data center.…The network topology strategy, is used to set…a number of replicas when nodes will be distributed…in multiple data centers.…In both cases, the replica strategy takes a number…of replicas as a paramater.…
For example, this command creates a KEYSPACE…
- 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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