Zhamack Dehghani nicely described the architectural data planes. In the dynamic landscape of data management, the concept of the "data divide" has emerged as a pivotal idea that highlights the crucial distinction between two essential components: the operational data plane and the analytical data plane. This concept is particularly relevant in today's data-driven world, where organizations strive to extract maximum value from their data assets. Understanding the data divide between these two planes is fundamental for devising effective strategies to manage, process, and derive insights from data.

The streaming plane connects the operational and analytical aspects of data processing. It captures and processes real-time data, allowing it to flow seamlessly into the analytical phase where it's stored, analyzed, and used for insights and decision-making. This bridge enables organizations to make quicker, data-driven decisions based on both real-time and historical data.

Why should someone care:
The Streaming Plane empowers organizations to access and analyze a broader spectrum of data types, enabling better-informed decisions in real-time and over time.

By merging real-time and historical data, you gain a more comprehensive and nuanced view of your operations, customers, and markets. This leads to deeper insights, helping you uncover trends, anomalies, and opportunities that might otherwise go unnoticed.

Technical details are covered:
Data Mesh
Real-Time OLAP (Apache Pinot)
Streaming Databases
Streaming Platforms
Connectors

Takeaways:
Attendees will get a good understanding of what the streaming plane is and how to implement one using the technologies stated above.