
Explore Cassandra, an open-source, NoSQL distributed database designed for high availability, scalability, and no single point of failure, with a dynamo-style replication model and schema-free data.
Trace Cassandra’s history from its Facebook roots, created by Avinash Lakshman and Prashant Malik, to open source in July 2008, incubator in March 2009, and top-level project in February 2010.
Discover Cassandra features like high scalability, fault-tolerant architecture, continuous availability, linear performance scaling, flexible schema, easy data distribution, and fast operation on commodity hardware.
Explore the use cases of Cassandra, including messaging and high-speed data from devices, retail product catalogs, and social media analytics with recommendation engines.
Explore the Cassandra system keyspace, an internal keyspace that stores bootstrapping, cluster configuration, migration data for replication factor changes, and dynamic loading of keyspaces and schemas.
Explore how anti-entropy reconciles replica data in Cassandra using Merkle trees and read repair, ensuring consistency across nodes through gossip-based synchronization.
Learn how to drop keyspaces in Cassandra using the drop keyspace command, with if exists handling and error messages for non-existent keyspaces.
Learn to create data in Cassandra with CQL by inserting into a table with column names and values. Verify results by selecting from the student table in sample keyspace.
Learn how to update data in Cassandra with CQL, using where and set clauses to modify specific rows. See a practical example updating a student record.
Explore the replica placement strategy in Cassandra, explain how the replication factor ensures data is replicated across nodes in the ring and how token ranges define replica ownership.
Learn how Cassandra uses snitches to locate nodes by data center and rack through IP address offsets, and how to select a snitch via config or property files.
Learn to use the Cassandra nodetool for cluster monitoring, including status, ring, cfstats, histograms, and compaction stats, and locate the bin directory to manage a node from the command line.
Explore how OpsCenter manages a Cassandra cluster via a browser interface, with server installation, agents on each node, and community versus enterprise editions.
Configure Cassandra by setting listen_address and rpc_address to each node's IP, replacing localhost in cassandra.yaml to enable inter-node communication in a multi-node cluster.
Technocrat's Cassandra course will help you master the concepts of Cassandra including its features, architecture & data model. You will learn to install, configure, and monitor Cassandra. This course is well suited for big data developers, software developers & analytics professionals. You'll also gain expertise in CQL, Gossip Protocol, Tarball Installation while working with real-life industry use-cases. There will be many challenging, practical and focused hands-on exercises for the learners during this course.