The Database Is Only Half Done

Databases have been foundational to software development for over half a century, playing a critical role in how businesses manage and utilize information. Their evolution has resulted in a diverse range of database solutions designed to handle various data types, volumes, speeds (velocity), and query needs. While the core concept of a database – a storage system designed for querying – remains consistent, the modern landscape is shifting.

Traditionally, databases served primarily to support human-driven business processes. However, increasing automation – think ride-hailing apps, online shopping, and automated loan applications – means machines are now handling many of these tasks. This raises a crucial question: is the traditional database model still the optimal approach for a world increasingly driven by automated systems and real-time data?

In this session, Ben Stopford explores a new generation of databases designed to address the demands of this evolving environment. These databases go beyond traditional relational structures (tables and columns) to effectively manage continuous data streams – the constant flow of information generated by connected devices and automated processes. Learn how these innovative database technologies are poised to revolutionize data management in the age of machine intelligence and IoT.

• Database Evolution: Understand the historical development of database technology.
• Data Types & Volumes: Explore how databases cater to diverse data characteristics.
• Real-time Data: Discover solutions for managing continuous data streams.
• Automated Systems: Learn how new databases support machine-driven processes.
• Data Management Trends: Gain insights into the future of database technology.
• IoT Databases: Explore databases specifically designed for Internet of Things data.
• Event-Driven Databases: Understand the power of databases built for event processing.