The progression of modernization throughout enterprises in a variety of industries is a catalyst for data architecture complexity; while organizations look to cloud adoption and implementing the latest technologies to stay competitive, remnants of legacy structures remain within their infrastructure.
Catering to both modern and legacy components result in data architecture intricacy that impedes business success. This transformation period for many enterprises calls for new approaches to designing, implementing, integrating, and managing systems that handle data.
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