We introduced the term “3D Data” as a mnemonic and a way to think about streaming data processing that incrementally builds toward human-level data questions.

ThatDot's platform is a central hub for developers and data engineers, offering insights into real-time data streaming, event processing, and analytics. Through articles, tutorials, and case studies, ThatDot offers insights into building scalable and resilient event-driven architectures. Developers can learn about stream processing frameworks, distributed systems, and anomaly detection techniques to process and analyze large-scale data streams effectively.

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Drawing connections between data in a graph structure allows for better data analysis and streaming computation. JSON objects can be treated as nodes in a graph, with key-value pairs becoming properties on the nodes. Semantic caching can be used with iterative processing on native graphs to optimize computation. Overall, drawing connections in data is a powerful way to answer human-level questions with context.

Draw Connections to Build Insights