Discover iRODS, the open-source data management platform revolutionizing how enterprises handle large-scale datasets with policy-based automation and federation.
The foundation of data intelligence systems centers around transparency, governance, and the ethical and responsible exploitation of cutting-edge technologies, particularly GenAI.
AI microservices, Kubernetes, and Kafka enable scalable, resilient intelligent applications through modular architecture and efficient resource management.
Find out how to utilize the Apache Flink Dashboard for monitoring, optimizing, and managing real-time data processing applications within AWS-managed services.
Explore the key aspects of real-time data streaming and analytics on cloud platforms, including architectures, integration strategies, and future trends.
ETL and ELT are vital for data integration and accessibility. Learn how to select the right approach based on your infrastructure, data volume, data complexity, and more.
By embracing composability, organizations can position themselves to simplify governance and benefit from the greatest advances happening in our industry.
Optimize vector search in Elasticsearch through dimensionality reduction, efficient indexing, and automated parameter tuning for faster, more accurate results.
Discover how business glossaries, data catalogs, and data lineage work together to enhance data quality, compliance, transparency, and operational efficiency.
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.