Back to Basics: Real-Time Data Analysis using AWS

Back to Basics: Real-Time Data Analysis using AWS

Back to Basics: Best Practices for Selecting Inference Options to Deploy SageMaker ML ModelsПодробнее

Back to Basics: Best Practices for Selecting Inference Options to Deploy SageMaker ML Models

Back to Basics: Generative BI Pattern for Self-Service AnalyticsПодробнее

Back to Basics: Generative BI Pattern for Self-Service Analytics

Back to Basics: DataLake as a GraphQL APIПодробнее

Back to Basics: DataLake as a GraphQL API

Back to Basics: Gaining Near Real-Time Analytics Using SQL on Transactional Data in DynamoDBПодробнее

Back to Basics: Gaining Near Real-Time Analytics Using SQL on Transactional Data in DynamoDB

Back to Basics: Deploy Your Machine Learning Model for Real-Time PredictionsПодробнее

Back to Basics: Deploy Your Machine Learning Model for Real-Time Predictions

Back to Basics: Building an Efficient Data LakeПодробнее

Back to Basics: Building an Efficient Data Lake

Back to Basics: Aggregating Your Application Logs for Analyses in Near Real-TimeПодробнее

Back to Basics: Aggregating Your Application Logs for Analyses in Near Real-Time

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