What are data integration patterns? Common examples and uses

The blog post discusses data integration patterns, which are reusable methods for efficiently moving, transforming, and unifying data across various platforms. It emphasizes the importance of consistent data management through automation, using tools like Zapier, and outlines different integration patterns such as batch processing and real-time processing. The piece also highlights how these patterns contribute to better decision-making, save time, and enhance customer experience by providing a unified source of truth for data.