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Modeling Unstructured Data: An Independent Perspective by Steve Hoberman, Data Modeling Expert
sponsored by Sybase, Inc.
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This white paper explains structured, semi-structured, and unstructured data, while increasing your awareness of the complex content of the requirements environment.
- Structured data is data whose structure can be understood by some external mechanism by exclusively looking at the meta data. Each structured data element must have an atomic data type and therefore have a name that ends in any class word except for ‘Object' and ‘Text'. For example, Gross Sales Amount ends in the atomic class word ‘Amount' and is therefore structured. It is important to note that structured data has nothing to do with whether the data can be physically stored in a database.
- Semi-structured data is data whose structure can be understood by some external mechanism by looking at the data. As with structured data, it also must be one of the atomic data types. A column heading in Excel for example, is typically a semi-structured data element. The only difference between structured and semi-structured is that with semi-structured the values can only be understood by examining the contents instead of just the meta data. Semi-structured data is one small step away from structured data, and has the same inherent characteristics of structured data.
- Unstructured data is data whose structure cannot be understood by some external mechanism by looking at the meta data or content. Examples of unstructured data are documents, music, and images. There is substantially more unstructured data than structured data. The two class words ‘Object' and ‘Text' are unstructured data types.
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Available Resources from Sybase, Inc.
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sponsored by Sybase, Inc.
EBOOK:
Posted: 11 Nov 2009 |
Published:
11 Nov 2009
Learn all about in-database technology in this E-book, designed to give you a complete overview of the technology and how it can be leveraged successfully. Read on to learn why more companies are choosing to leverage this new technology - and learn more about their ROI and business results.
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sponsored by Sybase, Inc.
EBOOK:
Posted: 09 Nov 2009 |
Published:
09 Nov 2009
In this E-Book, data warehousing and BI expert Rick Sherman explains how you can take advantage of BI trends to ensure that you get the right information to the right people at the right times, so they can make the best possible decisions.
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sponsored by Sybase, Inc.
PRESENTATION TRANSCRIPT:
Posted: 04 Nov 2009 |
Published:
03 Nov 2009
Read this transcript to learn how to get all the speed, flexibility and processing power of a custom-built data warehouse.
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sponsored by Sybase, Inc.
DATA SHEET:
Posted: 29 Oct 2009 |
Published:
29 Oct 2009
With its new in-database analytics capability, Sybase IQ provides an analytical platform that can decrease processing time, increase accuracy, and manage data volume. Read on to learn how Sybase® IQ delivers advanced analytics power with in-database analytics.
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sponsored by Sybase, Inc.
PODCAST:
Posted: 27 Oct 2009 |
Premiered:
27 Oct 2009
Is your organization making the most of BI and reporting projects? Find out how to improve your enterprise reporting with best practices advice and tips from BI expert Kimberly Nevala of Baseline Consulting.
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sponsored by Sybase, Inc.
PRESENTATION TRANSCRIPT:
Posted: 26 Oct 2009 |
Published:
26 Oct 2009
This transcript of the Sybase webcast, "Achieving Breakthrough Performance in Analytics and Reporting" explains why Sybase IQ is the #1 column-based analytics server for business analytics and reporting. Read on to learn how Sybase IQ can relieve the pressure on your transaction systems without creating extra workloads or breaking the bank.
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sponsored by Sybase, Inc.
EBOOK:
Posted: 21 Oct 2009 |
Published:
21 Oct 2009
Business Intelligence and analytics remain top priorities for organizations seeking to increase revenues and cut costs, but these systems often require a data warehouse to feed them correct and relevant information. This E-Book provides detailed expert advice on how to evaluate, select and prepare your organization for a data warehouse appliance.
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sponsored by Sybase, Inc.
PODCAST:
Posted: 21 Oct 2009 |
Premiered:
20 Oct 2009
In this podcast, listeners will hear a vendor-neutral, executive overview of in-database analytics technology from independent expert Rick Sherman. Find out how the technology works -- and how companies are leveraging it for improved operational efficiency and other business benefits.
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sponsored by Sybase, Inc.
WEBCAST:
Posted: 30 Sep 2009 |
Premiered:
Available On Demand
View this Webcast and learn to get all the speed, flexibility and processing power of a custom-built data warehouse.
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sponsored by Sybase, Inc.
WEBCAST:
Posted: 11 Sep 2009 |
Premiered:
Available On Demand
This webcast discusses how you can accelerate your data analysis, reporting and business intelligence (BI) applications with the help of a column-based analytics server.
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