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