How to Build a Modern Data Architecture with Legacy Data

Read this eBook to learn the four steps of building a modern data architecture that’s cost-effective, secure, and future proof. In addition, this eBook address the most common challenges of integrating mainframe data:

• Data structure
• Metadata
• Data mapping
• Different storage formats

Introduction

Business competitiveness depends on an organization’s ability to leverage data. Despite technological advances, enterprises still have trouble even accessing their data, especially legacy mainframe data. As a result, most companies have a fragmented data architecture that doesn’t support their strategic goals.

Meanwhile, competitive pressures are building. Today’s most successful companies operate beyond function-specific analytics and even interdepartmental analytics, enabling enterprise-wide analytics that incorporate data from a combination of internal and external sources. They’re also using machine learning to answer questions they haven’t been able to answer previously.

Unlike newer companies, which were born in the cloud, well-established companies haven’t had the benefit of using all their data from day one. To compete effectively, they must integrate data from many disparate sources, although mainframe data is often missing because it’s too difficult to access. With Precisely data integration software, any business can create a modern data architecture that includes any data source regardless of the data’s type, format, origin, or location in a manner that’s fast, easy, cost-effective, secure, and future-proof.