
Mr. Rahul Amte
Cloud-Native Data Analytics for Scalable Business Intelligence with Public Cloud Providers
Abstract:
In the era of digital transformation, enterprises are increasingly leveraging cloud-native architectures to drive scalable, cost-efficient, and intelligent business analytics. This talk explores how AWS, Google Cloud Platform (GCP), and Microsoft Azure provide robust data analytics ecosystems that enable real-time insights, predictive analytics, and data-driven decision-making. We will discuss key cloud services such as AWS Glue, BigQuery, Azure Synapse Analytics, AWS Redshift, and Databricks, and how they facilitate the seamless ingestion, transformation, and analysis of massive datasets. Additionally, the session will cover serverless computing (Lambda, Cloud Functions, Azure Functions), containerized data pipelines (Kubernetes, ECS, AKS, GKE), and real-time streaming technologies (Kafka, Kinesis, Pub/Sub) to enable agility and efficiency in modern BI workflows. Security, compliance, and cost optimization will also be highlighted as critical factors in cloud BI strategy. By examining real-world use cases, we will demonstrate how organizations can harness cloud-native capabilities to enhance business intelligence, improve decision-making, and maintain a competitive edge in the data-driven economy.