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Data Models

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Data Models Reports
 
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

Embrace Self-Service Data Preparation and Analytics Tools to Avoid Data Chaos
sponsored by Birst
RESOURCE: In this Gartner resource, discover the impact that the current trends in BI tools are going to have on the market, as well as some recommendations for how industry leaders can adapt to these changes. Inside, learn some best practices for fostering customer trust in your data, 4 categories of data preparation, and more.
Posted: 11 Jan 2017 | Published: 24 May 2016

Birst

The Big Data Surge: Data Modeling Challenges & Best Practices for Prepping Big Data Apps for Production
sponsored by IBM
EGUIDE: Surging big data is changing data modeling techniques and app development cycles. Read on to discover what you should expect from big data's near-future and best practices when it comes to transitioning big data applications into the production stage.
Posted: 27 Jul 2016 | Published: 26 Jul 2016

IBM

Business Oriented Information Architecture
sponsored by Sybase, an SAP company
WHITE PAPER: This paper outlines an information architecture (IA) and why it is useful in determining everything from the robustness of IT projects to testing business process scenarios to see if they satisfy the wide-ranging needs of your business. Read this now to learn more about IA, including its basic design, how to start your program and more.
Posted: 17 Apr 2012 | Published: 16 Apr 2012

Sybase, an SAP company

Best Practices for Implementing a Data Warehouse on Oracle Exadata Database Machine
sponsored by Oracle Corporation
WHITE PAPER: By using the Oracle Exadata Database Machine as a data warehouse platform you have a balanced, high performance hardware configuration. This paper focuses on the other two corner stones, data modeling and data loading, providing a set of best practices and examples for deploying a data warehouse on the Oracle Exadata Database Machine.
Posted: 12 Mar 2012 | Published: 30 Sep 2010

Oracle Corporation

A Usability Comparison of the Top Three Data Modeling Tools
sponsored by CA ERwin from CA Technologies
WHITE PAPER: Read this white paper to get a comparison of data modeling tools.
Posted: 20 Oct 2011 | Published: 20 Oct 2011

CA ERwin from CA Technologies

Optimize Supply Chain Management with an In-Memory Data Platform
sponsored by Intel Corporation
WHITE PAPER: Legacy supply chains can suffer from issues like data latency, data fragmentation, and a lack of scalability, which can hold businesses back in an increasingly fast-paced, data-driven world. Find out how to empower supply chain management teams with agility, real-time business intelligence, and predictive analytics capabilities.
Posted: 24 Aug 2016 | Published: 30 Jun 2016

Intel Corporation

SAP predictive analysis: What you need to know
sponsored by HP
WHITE PAPER: Read on to find details about SAPs BusinessObjects Predictive Analysis, including how the NBA used HANA to help cater to stat-hungry fans.
Posted: 27 Aug 2013 | Published: 27 Aug 2013

HP

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

Building a Business Case for Data Governance: Ten Critical Steps
sponsored by Information Builders
WHITE PAPER: This resource counts down 10 key steps that will help you build the business case for data governance in your organization. Also inside, learn about tools and tactics that will ensure your data governance project is a success.
Posted: 01 May 2013 | Published: 31 Dec 2012

Information Builders
 
 
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