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Conceptual Data Modeling

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Conceptual Data Modeling White Papers (View All Report Types)
 
6 Step Guide to Apache Cassandra Data Modelling
sponsored by Instaclustr
WHITE PAPER: This white paper covers a methodical approach that can be useful in approaching Cassandra data modelling, focusing on 3 simple principles and 6 steps that implement the principles.
Posted: 05 Dec 2017 | Published: 05 Dec 2017


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

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

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: 25 Apr 2011 | Published: 30 Nov 2010

Oracle Corporation

Windows Azure Storage: A Highly Available Cloud Storage Service with Strong Consistency
sponsored by Microsoft
WHITE PAPER: Read this white paper to learn about the architecture, data model, resource provisioning, load balancing, and replication systems of Windows Azure Storage (WAS), a scalable cloud storage system that provides customers with seemingly limitless data storage, access from anywhere at any time, and the ability to only pay for what they use.
Posted: 25 Apr 2012 | Published: 31 Dec 2011

Microsoft

Data Visualization: 7 Considerations for Visualization Deployment
sponsored by SAS
WHITE PAPER: The following white paper explores the top 7 considerations for implementing a data visualization solution in your enterprise. Learn how data visualization can give way to far deeper insights, better decision making, and much more.
Posted: 05 May 2014 | Published: 28 Apr 2014

SAS

Discovering the Business Value of Streaming Analytics
sponsored by SAS
WHITE PAPER: This resource explains streaming analytics and describes how it can enable real-time decision-making based on current evidence. Learn how you can resolve business problems more quickly and make data-driven decisions.
Posted: 29 Feb 2016 | Published: 24 Feb 2016

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

Get Analytics Right from the Start
sponsored by Sybase, an SAP company
WHITE PAPER: Whether or not analytics should become an integral part of an organization’s planning and decision-making seems to be beyond question However, at what level, for what purpose and how to go about deploying analytics are questions that each organization needs to answer for itself. These questions are the focus of this paper.
Posted: 05 Aug 2010 | Published: 05 Aug 2010

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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