
IOblend: State Management in Real-time Analytics
In real-time analytics, “state” refers to any information that an application remembers over time – i.e. intermediate data required to process data streams.
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Skip to contentData integration, DataOps, real-time architecture and AI-ready data without the platform theatre. We write about the engineering problems that appear when enterprise data has to move, stay current, remain governed and support real operational outcomes.

In real-time analytics, “state” refers to any information that an application remembers over time – i.e. intermediate data required to process data streams.

Data lineage is the backbone of reliable data systems. As businesses transition into data-driven entities, the significance of data lineage cannot be overlooked

Businesses rely on accurate, up-to-date data to make informed decisions, which is why understanding and managing slowly changing dimensions (SCDs) is crucial.

Metadata In today’s data-driven world, information reigns supreme. Businesses and organizations are constantly seeking ways to extract valuable insights from their data to make informed decisions. One often overlooked but essential aspect of this process is metadata. Metadata is the

Change Data Capture In the fast-paced world of data management, staying ahead of the curve is not an option, it’s a necessity. Change Data Capture (CDC) is the secret weapon that allows businesses to keep pace with the constant flux

Data Schema Management In today’s data-driven world, managing data effectively is crucial for businesses seeking to gain insights and make informed decisions. Data schema management is a fundamental aspect of this process, ensuring that data is organized, structured, and compatible

Commercial property Welcome to the next issue of our real-time analytics blog. This time we are taking a detour from the aviation analytics to the world of commercial property management. The topic arose from a use case we are working