You need a solution that provides direct access to multiple data types and formats residing across multiple siloed analytic architectures. One highly effective way of doing this is to create a data fabric. A data fabric is a solution that combines native, diverse data sources and formats (for example, S3 objects, files, streams, and databases) in a unified data platform that spans on-premises, cloud, and edge deployments. A data fabric delivers a global view
to unify management, security, and data access. It enables you to meet even the most demanding data access needs of data engineers, data analysts, and data scientists.

Just as important as making data accessible is simplifying application and workload deployment. Your data users may have expertise in analytics, artificial intelligence (AI), and other applications they use to find value locked inside data. But they may not have similar expertise in calculating the precise storage and compute specifications required for machines that can efficiently run their applications. While your IT staff will have that expertise, provisioning workloads on demand takes time away from higher-value pursuits.