AWS Big Data Blog
Author: Satyanarayana Adimula
Satyanarayana Adimula is a Senior Builder in the AWS GenAI Invocation Center. With over 20 years of experience in data and analytics and deep expertise in generative AI, he helps organizations achieve measurable business outcomes. He builds agentic AI systems that automate workflows, accelerate decision-making, reduce costs, increase productivity, and create new revenue opportunities. His work spans large enterprise customers across various industries, including retail, banking, financial services, insurance, healthcare, media and entertainment, and professional services.
Use AWS Glue ETL to perform merge, partition evolution, and schema evolution on Apache Iceberg
As enterprises collect increasing amounts of data from various sources, the structure and organization of that data often need to change over time to meet evolving analytical needs. However, altering schema and table partitions in traditional data lakes can be a disruptive and time-consuming task, requiring renaming or recreating entire tables and reprocessing large datasets. […]
Query cross-account Amazon DynamoDB tables using Amazon Athena Federated Query
Amazon DynamoDB is ideal for applications that need a flexible NoSQL database with low read and write latencies and the ability to scale storage and throughput up or down as needed without code changes or downtime. You can use DynamoDB for use cases including mobile apps, gaming, digital ad serving, live voting, audience interaction for live […]
Field-level security in Amazon OpenSearch Service
Amazon OpenSearch Service is fully open-source search and analytics engine that securely unlocks real-time search, monitoring, and analysis of business and operational data for use cases like application monitoring, log analytics, observability, and website search. But what if you have personal identifiable information (PII) data in your log data? How do you control and audit […]