Cassandra Administration

OVERVIEW
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.

WHY COGNIXIA
Why Cognixia for This Course

KEEP EXPLORING
Mapped Official Learning
Leadership
Equip enterprise leaders to drive culture, skills, policy, and operating-model change required for sustainable Generative AI adoption at scale.
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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.
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Systematic testing, evaluation, and quality engineering frameworks for validating GenAI and agentic AI systems at enterprise scale.
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Production-grade GenAIOps and LLMOps practices to deploy, monitor, evaluate, and govern enterprise-scale LLM and agentic applications with reliability and control.
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Design, build, evaluate, and operate production-grade agentic AI systems with multi-agent orchestration, tool integration, and enterprise-grade safety controls.
In-Person Workshop, Virtual Instructor-Led

READY TO SHAPE YOUR AI FUTURE?
Let's build the workforce
of the future

Enroll your leadership cohort in Designing GenAI Use-Case Portfolios & Business Cases.
Custom cohorts available for enterprise teams.