Natarajan MariyappanBuilding an Amazon DataZone — Data Mesh and Modern Data Architecture on AWSIntroductionMar 27, 2023Mar 27, 2023
Natarajan MariyappanUnleashing the Power of AWS Aurora Serverless V2: Architecture, and Setup Guide with sample use…The Aurora Serverless V2 database engine from Amazon Web Services (AWS) is a fully managed relational database engine that expands compute…Feb 2, 20231Feb 2, 20231
Natarajan MariyappanMonitor AWS Machine Learning PipelineThe ML pipeline’s execution needs to be monitored for statuses and errors, so corrective actions can be taken as needed. During a pipeline…Jan 5, 2023Jan 5, 2023
Natarajan MariyappanBuilding an ML-Ops pipeline on AWS — Part 2: Model deployment pipeline.At a high level, Here I will create two pipelines using CloudFormation in two different parts:Dec 3, 2022Dec 3, 2022
Natarajan MariyappanBuilding an ML-Ops pipeline on AWS - PART1 Model training pipelineIn this blog, I am going to explain end-to-end steps for building an enterprise MLOps pipeline.Nov 27, 2022Nov 27, 2022
Natarajan MariyappanBuild a Fraud Detection System with Amazon NeptuneThe security and integrity of any online platform must be ensured in large part by effective fraud detection. A powerful and scalable fraud…Oct 19, 2022Oct 19, 2022
Natarajan MariyappanImprove Join Problems Involving big fact and big Dimension tables using AWS GlueIn enterprises, there are various use cases where organizations need to scale their data processing and ETL batch workloads.Jul 11, 2022Jul 11, 2022
Natarajan MariyappanSelective queries on a large dataset using AWS GlueIn enterprises, there are various use cases where they must end up scanning a large volume of data, but it returns a selected value as a…May 15, 2022May 15, 2022
