He has 14 years of information technology experience covering all phases of the systems and software implementation. Over the period of last 13 years, he worked as Solution Architect, Platform Administrator for Hadoop clusters, Kafka, Informatica & Talend ETL tools, Oracle databases, and ETL consultant in Business Technology Solutions, Enterprise Application Integration, Data Migration and Data Integration domains. Apart from this long-standing experience, Lakshman loves reading technical books, listening to music, farming, and watching movies.
Discover how Kafka plays a crucial role in offset management by utilizing unique IDs to track message positions within partitions. Gain knowledge on how consumers commit offsets to maintain data continuity and explore effective approaches to managing Kafka clusters.
Offset: Management and Role Read More »
Kafka is a distributed, partitioned, replicated, log service that is a massively scalable pub/sub message queue architected as a distributed transaction log. It provides a unified platform for handling all the real-time data feeds a large company might have. In our last article series of Kafka, we learned about its brief regarding introduction, function and
Optimizing Kafka: Architecture Insights and Performance Tips Read More »