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Enterprise Modeling

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Enterprise Modeling Reports
 
Top 4 Reasons to Adopt Data Lifecycle Management
sponsored by Iron Mountain
WHITE PAPER: This white paper examines the top 4 reasons why you must focus on deploying data lifecycle management as a strategic initiative. It also explores where and how to use specific solutions, along with the benefits of working with a partner that can offer a comprehensive approach to data lifecycle management.
Posted: 05 Oct 2016 | Published: 31 Aug 2016

Iron Mountain

How Semantics Can Help You Organize Unstructured Data
sponsored by MarkLogic
EBOOK: Semantics can provide a powerful and flexible way to model unstructured data in your database. Inside this e-book learn why semantics technology is gaining traction now, as well as how it can help you model and graph linked data. Then, discover some real-world examples of semantics in action.
Posted: 14 Nov 2016 | Published: 14 Nov 2016

MarkLogic

Put Spark to Work with IBM Platform Conductor for Spark
sponsored by IBM
WEBCAST: In this webcast, see a demonstration of one analytics processing software and how it works in conjunction with an end-to-end enterprise solution to give your organization the ability to deploy, manage and run multiple instances on a shared infrastructure from a single interface.
Posted: 04 Oct 2016 | Premiered: Mar 16, 2016

IBM

Oracle Introduces Oracle Communications Data Model
sponsored by Oracle Corporation
PODCAST: Listen to this podcast to hear Tony Velcich, from Oracle’s Communications Product Management team, discuss the benefits of this solution.
Posted: 01 Oct 2010 | Premiered: Oct 1, 2010

Oracle Corporation

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

Tip Guide: Five goals for implementing Oracle Business Intelligence Applications
sponsored by SAP America, Inc.
EGUIDE: Oracle Business Intelligence Applications (OBIA) can give organizations deeper analytical views into their business performance. In this tip guide, readers will learn about five key areas organizations should focus on when implementing OBIA.
Posted: 14 Dec 2011 | Published: 07 Dec 2011

SAP America, Inc.

Mastering SAP HANA Data Modeling for Maximum Performance
sponsored by HP and CenturyLink Technology Solutions
EGUIDE: SAP HANA offers new levels of data modeling that exceeds what's possible with traditional relational database management systems (RDBMS). While data is still stored in tables, how the storage model is designed differs greatly from traditional RDBMS, resulting in better compression and faster reads.
Posted: 26 Nov 2013 | Published: 26 Nov 2013

HP and CenturyLink Technology Solutions

Presentation Transcript: Visualize the Power of Your Data
sponsored by CA ERwin from CA Technologies
PRESENTATION TRANSCRIPT: Growing data volumes, diverging data sources, amplified information complexity, and increasingly varied users have made it difficult to take advantage of data as a true corporate asset. In this transcript featuring industry thought leader David Loshin, learn how to turn data complexity into an information advantage.
Posted: 25 Feb 2011 | Published: 25 Feb 2011

CA ERwin from CA Technologies

Streamline Your Financial Data Planning to Improve Efficiency
sponsored by IBM
RESOURCE: As market conditions continue to shift, it's more important than ever to minimize time spent managing data. Discover real-time analytics that allow you to link operational changes to financial results, so you can identify and influence key drivers of costs, sales, and revenue.
Posted: 23 May 2016 | Published: 23 May 2016

IBM

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: 19 Oct 2010 | Published: 01 Aug 2010

CA ERwin from CA Technologies
 
 
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