Webinar
        
  
  Enterprise-Grade Scalability with Cassandra 5.x: Migration Strategy and Benefits
 
                
                 
                 
                               
              Key Speaker
 
                      
                      Software Engineer, Ksolves India Limited
Big Data Technology Expert at Ksolves with expertise in Apache Cassandra, MongoDB, and Spark. Experienced in designing scalable, high-availability data architectures and automation with Ansible and Ambari. Also working with tools like Druid, MinIO S3, StarRocks, and AWS, while learning Docker and containerization.
About the Webinar:
              Legacy databases can’t keep up with today’s data-driven demands. From AI-powered personalization to multi-region uptime, businesses need more scalable, secure, and efficient systems. Apache Cassandra 5.x delivers on all fronts, with next-gen indexing, vector search for AI, and operational guardrails.
In this expert-led webinar, you’ll explore  what’s new in Cassandra 5.x, how real-world businesses are leveraging it, and a proven  migration path  to upgrade without downtime. Whether you’re building fraud detection systems, IoT pipelines, or AI-driven search, this session is your gateway to future-proofing your data layer.
Key Takeaways:
- Understand what makes Cassandra 5.x a must-have for AI/ML workloads
- Learn about Storage-Attached Indexes, UCS, and Trie Memtables
- Discover real-world use cases across industries like e-commerce, streaming, and IoT
- Get a step-by-step migration strategy from Cassandra 4.1 to 5.x
- See how dynamic masking and guardrails support data security and compliance
           Scale Smarter with Apache Cassandra 5.x          
          
            Want to build resilient, AI-ready infrastructure? Let’s talk about upgrading to Cassandra 5.x and transforming your data strategy.
          
         Talk to our experts today! 
          
         
                                        
                    
                    
                 
                            
                            