Gain insight into key Iceberg features such as time travel, schema evolution, partition evolution, and ACID transactions with clear SQL examples and diagrams.
Learn how to protect your APIs beyond the basics. This article explores the risks, but also the solutions, which are not necessarily limited to the API Manager.
Learn more about how WebRTC's triple-layer security architecture protects IoT communications and creates the building blocks of secure device interactions.
This article looks at application retirement from a data perspective, best practices, challenges, and how to manage and leverage data during this process.
This article is intended for distributed systems practitioners looking to understand and implement Read Your Own Writes consistency in production environments.
An open-source distributed event-streaming platform like Apache Kafka supports data fabric by handling real-time data streaming across various systems.
Big O Notation is probably going to be the first thing you hear about when learning about data structures and algorithms. Let's make it easy to understand.
Skip if-else statements by using design patterns, polymorphism, and functional strategies for cleaner, more adaptable, and significantly more testable code architectures.
Big data isn’t dead; it’s just going incremental. But bad things happen when uncontrolled changes collide with incremental jobs. Reacting to changes is a losing strategy.
The three data storage options and their pros and cons: the legacy data warehouse, the more recent data lake, and contemporary data lakehouse architectures.
Learn about Apache Iceberg catalogs, their types, configurations, and the best-fit solutions for managing metadata and large datasets in different environments.
Big data technologies' quick development has highlighted the necessity of a smooth transition between real-time data analytics and batch processing systems.