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Artificial intelligence (AI) and automation stand at the vanguard of the future of work. While it’s impossible to predict with certainty how things will change, a few current trends and stats provide a good sense of where the future of AI and automation will take us. As evidenced by the recent interest in generative AI, companies want to experiment with how to reap deep benefits from automation technology.

What can data fabric do for your organization and how does it differ from other data management approaches? This primer will get you up to speed on data fabric essentials and help you explain the basics of this top tech trend. What is a data fabric? A data fabric connects data sets across disparate software systems, whether they’re on-premises or in the cloud, and creates a complete view. It’s both a tool set and an unified architecture layer (also called a virtualized data layer).

In the first article of this series, we introduced Fastify and compared it to Express, highlighting the benefits of switching to Fastify for high-performance web applications. We also explored Fastify's plugin system in detail, showing you how to extend and customize your web applications with reusable modules. In this part, we'll dive deeper into some of Fastify's more advanced concepts.