Scalable AI Infrastructure with AWS EMR and SageMaker.

Discover how the seamless integration of Amazon Elastic MapReduce (EMR) and Amazon SageMaker on the AWS platform enables highly scalable AI infrastructures. This abstract explores the architecture that combines EMR's distributed data processing with SageMaker's advanced machine learning tools. Learn how this powerful duo empowers businesses to efficiently handle big data and deploy sophisticated machine learning models, fostering data-driven decision-making and AI-driven innovation. Gain valuable insights into configuring and optimizing AI infrastructures for enhanced productivity and competitive advantage.

My name is Karthik Allam & I am a seasoned IT professional with over 12 years of experience Throughout my career, I have developed expertise in several areas, including Linux, Big Data Administration, Cloud Migrations (AWS), Infrastructure Engineering, Data Center Migrations & datacenter exit Activities. I have extensive experience in Physical to Virtual and Virtual to Virtual Server Migrations, & I am proficient in Spark, Hive, HDFS, and Cluster Tuning of Hortonworks and Cloudera Distribution Clusters. I have also worked on Kubernetes administration, data replication from Production to Disaster Recovery sites produsts such as Falcon and DataPlane and DataLifecycle Management (DLM), and also as a certified AWS Solutions Architect I Successfully built AWS Data Lake - Lakehouse building, providing solutions for application teams. At JP Morgan Chase, I have been a key contributor to the success of several projects. I have led cloud migration projects, where I helped the organization migrate their infrastructure to AWS. I have also led data center migration projects and merged multiple data centers into one, resulting in significant cost savings for the organization. Additionally, I have been instrumental in building and managing the AWS Data Lake for the organization, enabling various application teams to access and process data seamlessly.