Aneesh Chandra PN

Delivering ROI for AI and ML at enterprise scale demands more than just great models — it requires a data and analytics foundation engineered for cost efficiency from day one.

The lakehouse architecture of Amazon SageMaker addresses key enterprise challenges around interoperability and consistent access controls across all data systems.

Unlock the power of real-time data streaming into Apache Iceberg with advanced performance tuning techniques. In today's data-driven landscape, immediate insights are critical for fraud detection, IoT monitoring, and dynamic business intelligence.

Apache Iceberg is an open table format for very large analytic datasets. Apache Iceberg manages large collections of files as tables, and it supports modern analytical data lake operations such as record-level insert, update, delete, and time travel queries.

A microservices architecture makes it easier to develop and scale rapidly with a growing data load. However, enriching data via a network call to another microservice can impact the reliability of the application and make it difficult to debug and trace errors.