There is a constant shift towards cloud-native applications. Here, take a look into the workings of data centers that are hosting these cloud infrastructures.
This article series addresses commonly asked questions, best practices, practical examples, and info on how to get started with event-driven architectures.
Market disruptors pave the way for innovation and break barriers once considered bulletproof. PuppyGraph uses market disruption and graph data to detect fraud.
Learn how to build generic, easily configurable, testable reactive consumers, producers, and DLT with Kotlin, Spring Boot, WebFlux, and Testcontainers.
The article discusses the need for streaming data processing and evaluates available options. It explains that one size fits all is approach is not appropriate.
Explore event-driven data mesh architecture, and how when combined with AWS, it becomes a robust solution for addressing complex data management challenges.
Here, explore various techniques for loan approvals, using models like Logistic Regression and BERT, and applying SHAP and LIME for model interpretation.
Compare statistics and machine learning, discussing their foundations, methods, applications, and differences in analyzing data for insights and predictions.
Explore the Shift Left Architecture using data streaming (Kafka/Flink) that enables data products for DWH, data lake, and lakehouses like Snowflake/Databricks.
In modern manufacturing, the key to sustaining product reliability, compliance, and efficiency lies in robust quality control and advanced maintenance management.
Learn how leveraging AI-powered software testing for healthcare domains can make a significant difference in the quality, efficiency, and reliability of care.