Data architecture is evolving rapidly due to the rise of GenAI, requiring companies to move away from data silos toward integrated data fabrics and data meshes.
For any persistence store system, guaranteeing durability of data being managed is of prime importance. Read on to know how write ahead logging ensures durability.
This article explores the table format wars of Apache Iceberg, Hudi, Delta Lake and XTable; and the product strategy of Snowflake, Databricks, Confluent, AWS, and Google.
LLMOps enhances MLOps for generative AI, focusing on prompt and RAG management to boost efficiency, scalability, and streamline deployment while tackling resource and complexity challenges.
In this article, we'll explore how modern development platforms are helping businesses streamline their automation efforts and achieve greater productivity.
Discover iRODS, the open-source data management platform revolutionizing how enterprises handle large-scale datasets with policy-based automation and federation.
Master LLM fine-tuning with expert tips on data quality, model architecture, and bias mitigation and boost performance and efficiency in AI development.
The foundation of data intelligence systems centers around transparency, governance, and the ethical and responsible exploitation of cutting-edge technologies, particularly GenAI.
Enhance data security with a gradual approach, focusing on areas like field-level and whole file encryption. Adopt data encryption and minimize day-to-day disruptions.
Explore the flexibility, scalability, and efficiency of cloud-native architecture compared to monolithic architecture, and learn the challenges of implementing.
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.