BSC Analytics

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Using DynamoDB for Storing and Querying Kafka Log Data

Amazon DynamoDB is a fully managed NoSQL database service that provides high availability, scalability, and low-latency performance, making it an...

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Advanced Scaling Solutions for AKS

Scaling is a fundamental aspect of managing applications in AKS. It ensures that applications can handle varying loads efficiently while optimizing...

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Understanding Deployment Strategies in Azure Kubernetes Service (AKS)

Deployment strategies are the foundation for maintaining application performance and stability in Azure Kubernetes Service (AKS). Choosing the right...

Lambda Functions for Processing Kafka Logs in AWS

AWS Lambda plays a pivotal role in serverless architectures, particularly for real-time data processing. It enables you to run code without provisioning...

Implementing Continuous Deployment (CD) with Azure DevOps

CD is a crucial practice in modern software development that extends the principles of Continuous Integration (CI) to automate application deployment. By...

Real-Time Anomaly Detection Using SageMaker Random Cut Forest (RCF) Model

Identifying anomalies in real-time is critical for detecting potential security breaches, application failures, or unexpected behaviors in systems....

Predicting Yards Passing for NFL QBs Using Machine Learning: Part 3

Part 3: Model Evaluation and Insights Introduction In Part 2, we focused on selecting and training a Random Forest model to predict NFL quarterback passing...

Predicting Yards Passing for NFL Quarterbacks Using Machine Learning: Part 2

Part 2: Model Selection and Training Introduction In Part 1, we laid the groundwork by collecting and cleaning NFL quarterback data from 1970-2022. We...

Predicting Yards Passing for NFL Quarterbacks Using Machine Learning: Part 1

Part 1: Data Collection and Understanding Introduction Predicting NFL quarterback performance is a challenging and exciting task, especially for fans who...