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Modeling

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Modeling Reports
 
IBM InfoSphere DataStage Performance and Scalability Benchmark White Paper 
sponsored by IBM
WHITE PAPER: This paper highlights the performance and scalability potential of InfoSphere DataStage 8.1 based on a benchmark test simulating a data warehouse scenario. The benchmark is designed to use the profiled situation to provide insight about how InfoSphere DataStage addresses customers' key FAQs when designing their information integration architecture.
Posted: 24 Mar 2011 | Published: 24 Mar 2011

IBM

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

Improving Data Quality Through Data Modeling
sponsored by CA ERwin from CA Technologies
WHITE PAPER: Enterprise data is largely falling short of a standard that makes it possible to utilize in how business will be conducted in the next decade. Most enterprise data is “adequate” for basic operational needs today. Download this paper to learn how to get the most out of your enterprise data.
Posted: 20 Apr 2011 | Published: 20 Apr 2011

CA ERwin from CA Technologies

Predictive Analytics in Action: Real-World Examples and Advice
sponsored by SearchBusinessAnalytics
EBOOK: If your organization is looking to deploy advanced predictive analytics, you will need to make sure you have the right level of skills to avoid pitfalls and keep costs down. This expert e-book details everything you need to know about embarking on a predictive analytics endeavor.
Posted: 19 May 2014 | Published: 19 May 2014

SearchBusinessAnalytics

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

Harvard Business Review's Guide to Visualizing Data
sponsored by SAS
WHITE PAPER: The following Harvard Business Review report explores the current state of data visualisation. Hear from many leading authors on how to leverage data visualisation, and the right times to use it.
Posted: 24 Apr 2014 | Published: 24 Apr 2014

SAS

IBM InfoSphere Data Architect V7.6
sponsored by IBM
TRIAL SOFTWARE: IBM InfoSphere Data Architect is a collaborative data design solution to help you discover, model, relate, and standardize diverse and distributed data assets. It supports dimensional modeling. This page contains more information about the product and access to a 30-day trial.
Posted: 20 Dec 2011 | Premiered: 20 Dec 2011

IBM

E-Guide: The Importance of Data Modeling Software
sponsored by CA ERwin from CA Technologies
EGUIDE: In this e-guide, you will find out why the experts think data modeling is an important part of enterprise data management and why business users often need to be convinced that data modeling is something they should care about.
Posted: 09 Feb 2012 | Published: 09 Feb 2012

CA ERwin from CA Technologies

Well-Built Models Set Up Big Data Projects to Prosper
sponsored by SearchBusinessAnalytics
EBOOK: Predictive analytics in big data modeling provide organizations with increased opportunities to use their collections of big data.
Posted: 08 Jul 2014 | Published: 08 Jul 2014

SearchBusinessAnalytics

How to write a RFP for Master Data Management: 10 Common Mistakes to Avoid
sponsored by Siperian, Inc.
WHITE PAPER: Critical master data management (MDM) functionality can be easily overlooked when request for proposals (RFPs) are narrowly focused on a single business data type. Ensure success by avoiding 10 costly mistakes when writing your RFP.
Posted: 16 Sep 2009 | Published: 01 Sep 2007

Siperian, Inc.
 
 
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