Mismanaged data integration costs organizations millions in revenue and lost productivity. Traditional data integration has not kept pace with the exponential growth in data and data systems, leaving teams to piece together disparate tools and maintain leaky pipelines.

A new data architecture is emerging in which the data store is represented through metadata. This allows data engineers and business users to transform and deliver data anywhere, without unnecessary replication, failure points, or exponentially ballooning costs.

In this free guide to next-gen data integration, you will learn:

• The changing data integration landscape
• Choosing the right data integration pattern for your needs
• Factors to consider when choosing a data integration solution
• What is metadata-driven architecture and how to implement it

Metadata-driven data integration can revolutionize the way that organizations integrate and manage their data. By using metadata to represent the data store, organizations can achieve significant efficiency gains, reduce costs, improve reliability, and increase agility.

Learn how to achieve these benefits with our free guide.