Data Modeling





The Role of Metadata in a Data Governance Strategy

As the interest in managing information and enforcing corporate data management policies increases, data governance programs to manage data sets are becoming more and more vital to the business operation. However, in this rush for data governance programs, sometimes the true utility and importance of metadata can be missed. In this white paper, David Loshin...
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Operationalizing Data Governance with Living Metadata

With any metadata project, it is critical to recognize that as the business transforms, the data and metadata must continually be updated and reviewed to ensure it continues to be useful. In this white paper we explore best practices in maintaining a “living” metadata management platform. We also cover the key factors in ensuring timeliness and utility...
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The Business Value of Data Modeling for Data Governance

Data governance works best when it’s strongly aligned with the drivers, motivations, and goals of the business. But given that data can be a technical discipline, it’s often difficult to find a way to translate the technical data environment into an easy-to-understand format that uses business terminology. Whether you are a businessperson looking to understand...
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Enterprise Architecture & Data Modeling

Practical steps to collect, connect and share your enterprise data for better business outcomes. Effective data and enterprise architecture management is about enabling smarter business decisions; providing management access to the right information, in the right format, at the right time. In this white paper, you’ll discover how to: Adopt a business-outcome approach to enterprise architecture....
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Data-Driven Business Transformation

Companies such as Airbnb, Amazon, Netflix and Uber have realized the value of data, harnessing it to create new business models, redefine and disrupt entire markets, and change the way customers think and therefore behave. Known as data-driven enterprises, these organizations have transformed everything – how they make decisions, invent new products or services, and improve processes to add to both their top and bottom lines.
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Taking Control of NoSQL Databases

The digital world is moving faster than ever before, so the enterprise needs to keep pace by becoming data-driven. That means using Big Data – much of it unstructured – to effectively respond to customers, partners, suppliers and other parties in real time – and profit from those efforts. If you’re considering the transition from traditional relational databases to NoSQL – or if you’re already using the technology – then this e-book is for you!
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Designing High-Performance Data Structures for Couchbase and MongoDB

As the data modeling industry leader, erwin has identified a critical success factor for the majority of organizations adopting a NoSQL platform like Couchbase or MongoDB. Learn what that success factor is in this technical white paper.
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Application Portfolio Management for Mergers & Acquisitions

This e-book explores intelligent APM, using data modeling and enterprise architecture to maximize, optimize and govern data assets and respond to management, customer, regulatory and other issues – regardless of which applications remain in place and which are phased out.
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Application Portfolio Management for Mergers and Acquisitions in the Financial Services Sector

This e-book discusses how companies in the financial services sector can adopt application portfolio management to support their M&A activities.
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Application Development Is New Again

Be positioned to deliver unique, real-time and responsive apps that will enhance your reputation among users and support a wealth of new business opportunities related to digital transformation.
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