Taught by a team which includes 2 Stanford-educated, ex-Googlers and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with large-scale data processing.
Has your data gotten huge, unwieldy and hard to manage with a traditional database? Is your data unstructured with an expanding list of attributes? Do you want to ensure your data is always available even with server crashes? Look beyond Hadoop - the Cassandra distributed database is the solution to your problems.
Let's parse that.
- Huge, unwieldy data: This course helps your set up a cluster with multiple nodes to distribute data across machines
- Unstructured: Cassandra is a columnar store. There are no empty cells or space wasted when you store data with variable and expanding attributes
- Always available: Cassandra uses partitioning and replication to ensure that your data is available even when nodes in a cluster go down
What's included in this course:
- The Cassandra Cluster Manager (CCM) to set up and manage your cluster
- The Cassandra Query Language (CQL) to create keyspaces, column families, perform CRUD operations on column families and other administrative tasks
- Designing primary keys and secondary indexes, partitioning and clustering keys
- Restrictions on queries based on primary and secondary key design
- Tunable consistency using quorum and local quorum. Read and write consistency in a node
- Architecture and Storage components: Commit Log, MemTable, SSTables, Bloom Filters, Index File, Summary File and Data File
- A real world project: A Miniature Catalog Management System using the Cassandra Java driver
Talk to us!
- Mail us about anything - anything! - and we will always reply :-)
