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Data Models

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Data Models White Papers (View All Report Types)
 
5 Best Practices for Tableau & Hadoop
sponsored by Tableau Software
WHITE PAPER: The big data era has arrived. Data volumes are accelerating and organizations are shifting their data infrastructures to support the new normal in data. Read on to learn 5 best practices for taking advantage of your available data.
Posted: 21 Jun 2016 | Published: 21 Jun 2016

Tableau Software

Taking Control of NoSQL Databases: Data-Driven Businesses Must Adopt a New Data Modeling Mindset
sponsored by ERwin
WHITE PAPER: Unstructured data is the best untapped resource that many organizations have. Learn how the power of NoSQL databases can help you mine this rich vein. Discover the data governance challenges that NoSQL can pose, a data modeling tool that can help you mitigate them, and more.
Posted: 03 Aug 2017 | Published: 03 Aug 2017

ERwin

Data Visualization Best Practices Guide
sponsored by Yellowfin
WHITE PAPER: Explore how to best present your data in an easily consumable way from choosing the right chart type to clarifying what your insights mean. You'll learn: which color schemes are best for displaying sequential metrics how to direct attention to critical insights when to deliver insights to decision-makersAnd more.
Posted: 16 Sep 2016 | Published: 16 Sep 2016

Yellowfin

How to Use Metadata to Create the Foundation For a Scalable Data Architecture
sponsored by Zaloni
WHITE PAPER: Without proper governance, enabled by a strong foundation of metadata, a data architecture will fail to deliver. In this book, explore key challenges of building a next-gen data environment, 7 tangible benefits of implementing data lakes, what metadata is and its 3 classifications, 3 data lake options compared and more.
Posted: 22 Feb 2017 | Published: 22 Feb 2017

Zaloni

Three Use Cases for Interactive Data Discovery and Predictive Analytics
sponsored by SAS
WHITE PAPER: This resource discusses how interactive data discovery and predictive analytics technologies can empower business users to make smarter, data-driven business decisions faster.
Posted: 29 Feb 2016 | Published: 24 Feb 2016

SAS

Accelerating Application Deployment with InfoSphere Foundation Tools
sponsored by IBM
WHITE PAPER: Despite criticism of application development methodology over the years, some fundamental problems haven’t been addressed successfully. This paper examines a new direction supported by the IBM InfoSphere Foundation Tools. These tools provide a coordinated approach well-suited to the special needs of contemporary information-centric development.
Posted: 16 Aug 2010 | Published: 13 Aug 2010

IBM

Top 10 Data Mining Mistakes
sponsored by SAS
WHITE PAPER: In the following paper, we briefly describe, and illustrate from examples, what we believe are the “Top 10” mistakes of data mining, in terms of frequency and seriousness. Most are basic, though a few are subtle. All have, when undetected, left analysts worse off than if they’d never looked at their data.
Posted: 07 Apr 2010 | Published: 07 Apr 2010

SAS

Best Practices in Data Management
sponsored by SAS
WHITE PAPER: The key enterprise risk management (ERM) issue for many financial institutions is to get enriched data in a single place in order to report on it. Learn best practices for data management that are critical for ERM.
Posted: 06 Mar 2008 | Published: 01 Jan 2007

SAS

Sybase PowerDesigner for information architecture
sponsored by Sybase, an SAP company
WHITE PAPER: This paper explains how modeling information architecture (IA) can help reduce the costs associated with data management. Read this now and learn about the benefits of implementing IA and how Sybase's option offers modeling support for database design and enterprise architecture.  
Posted: 16 Apr 2012 | Published: 16 Apr 2012

Sybase, an SAP company

Ten Things to Avoid in a Data Model
sponsored by CA ERwin from CA Technologies
WHITE PAPER: The construction of a data model is one of the more difficult tasks of software engineering and is often pivotal to the success or failure of a project. Many factors determine the effectiveness of a data model. In this white paper, industry expert Michael Blaha covers the Top 10 pitfalls to avoid - from both the strategy and detail perspective.
Posted: 20 Apr 2011 | Published: 20 Apr 2011

CA ERwin from CA Technologies
 
 
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