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We Are Committed to Open Source
Developed by large communities, open source is delivering benefits such as reduced costs, flexibility, transparency, security, and technology freedom.
10 tips for a successful data architecture strategy
A data architecture strategy is a framework that outlines how an organization manages its data assets to meet business requirements and achieve goals.
6 data architecture principles and how to implement them
Data architecture includes the design and organization of data assets, enabling the management, storage, and use of data within an enterprise.
Apache Cassandra®
The database of choice for scalable, highly available, reliable, and high-performance applications.
Apache Kafka®
Build your application on a fast, scalable, and distributed streaming platform.
Apache Kafka tutorial: Get started with Kafka in 5 simple steps
Apache Kafka is an open-source stream-processing software platform developed by LinkedIn and donated to the Apache Software Foundation.
Apache Spark architecture: Concepts, components, and best practices
Apache Spark is an open-source distributed computing system primarily used for big data processing and analytics.
Complete Guide to Event Streaming: Process, Components, Use Cases
Event streaming is a type of data processing where data is continuously generated, collected, and processed in real time.
Data architecture diagrams: Practical 2024 guide with examples
A data architecture diagram represents the structure of an organization's data flow and management.
Data architecture: Key components, tools, frameworks, and strategies
Data architecture is a structured approach to managing an organization’s data, covering its collection, storage, transformation, distribution, and consumption.