Building Strategic Influence in Matrix Organizations
The open source distributed database management system – Cassandra, is designed to provide high availability with no point of failure while handling massive data sizes across various commodity servers.
WHAT YOU'LL LEARN
Why you shouldn't miss this course
By the end of this course, participants will have the leadership toolkit to shape and steer GenAI portfolios across their organization.
PREREQUISITES
Recommended experience
CURRICULUM
Structured for Strategic Application
A brief into NoSQL
CAP theorem
When to use NoSQL
Columnar storage
NoSQL ecosystem
Architecture and Design
Cassandra nodes, clusters, datacenters
Keyspaces, tables, rows and columns
Partitioning, replication, tokens
Quorum and consistency levels
A brief into CQL
CQL Datatypes
Creating keyspaces & tables
Choosing columns and types
Choosing primary keys
Data layout for rows and columns
Time to live (TTL)
Querying with CQL
CQL updates
Collections (list / map / set)
Creating and using secondary indexes
Composite keys (partition keys and clustering keys)
Time series data
Best practices for time series data
Counters
Lightweight transactions (LWT)
Labs : creating and using indexes; modeling time series data
Deep dive into the Cassandra design
Sstables, memtables, commit log
Hardware selection
Cassandra distributions
Cassandra Nodes Communication
Writing and Reading data to/from the storage engine
Data directories
Anti-entropy operations
Cassandra Compaction
Choosing and Implementing compaction strategies
Cassandra best practices for garbage collection, composition, etc
Troubleshooting tools and tips
RECOMMENDED PARTICIPANT SETUP
This course follows Cognixia's AI-first, hands-on learning model
Access to sanitized process maps, KPI definitions, candidate initiative lists, and basic cost baselines (time, cycle time, error or rework rates)
INTERESTED IN THIS COURSE?
Let's Connect
Speak with a Cognixia specialist about enrollment options, custom cohorts for your leadership team, or tailored delivery formats for your organization.
✓
Response within 1 business day
✓
Available in 5 delivery formats globally
✓
Volume pricing for teams of 10+
Get in touch
One of our specialists will contact you within one business day.
Build portable, enterprise-grade GenAI systems that run consistently across Databricks, AWS, and Google Vertex AI—without vendor lock-in, quality drift, or governance gaps.
Production-grade GenAIOps and LLMOps practices to deploy, monitor, evaluate, and govern enterprise-scale LLM and agentic applications with reliability and control.
Design, build, evaluate, and operate production-grade agentic AI systems with multi-agent orchestration, tool integration, and enterprise-grade safety controls.