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14 Aug, 2017
Choosing a Database Management System or a Query Engine
14 August, 2017
Steve Sarsfield
Architecture
Database management systems and query engines may seem to be suited for analytics. However, it is important to understand the technical and business requirements for the solution before choosing. Introduction As we travel through life, we are constantly assessing our choices. Should you eat that salad, or opt for the burger? Should you marry your partner or seek greener pastures elsewhere? All of
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21 Jul, 2017
Challenges of Data Warehouse Re-Architecture
21 July, 2017
Bruce D. Johnson
Data Warehousing
Data warehouse / business intelligence / analytics environments require business and IT cooperation for successful architecture and design Introduction In working with many large corporations across a variety of industries, it is clear that we all face the reality of re-architecting data warehouses, whether we want to admit it or not. Since data warehouses are business driven (rethink your strateg
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17 Jul, 2017
The Increasing Importance of Metadata and Lineage
17 July, 2017
Darshil Mehta
Metadata Management
The increasing value of data and information demonstrates the need to know the lineage of the data and its metadata to understand its relevance to operations and decisions Introduction The data landscape is changing faster than before. Big data, legacy data, external data, internal data, data of data and much more; organizations want to use all possible types of data where they can because there i
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17 Jul, 2017
Foundations of Database Operations
17 July, 2017
Anne Marie Smith, Ph.D.
Database Operations
Database operations is the development, maintenance, and support of structured data to maximize the value of data across the organization. This function includes database support and data technology management. Introduction The management of database operations provide support to the organization for its data and information, from data acquisition to data purging. Database support is at the heart
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5 Oct, 2016
Four Foundational Data Governance Policies
05 October, 2016
Anne Marie Smith, Ph.D.
Best Practices
Every organization needs a set of foundational policies to manage the basic operations of data governance. Policies are different from guiding principles Introduction Every organization needs to create and maintain a set of basic or foundational policies to manage the operations of data governance effectively. Many people confuse the terms "policy" with "guiding principle." Policies are "the
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5 Apr, 2017
Metadata Management Fundamentals
05 April, 2017
David P. Marco
Metadata Management
Metadata management is one of the foundational components of an enterprise data management initiative. Many organizations struggle with its incorporation into their data management processes. Metadata Management’s Relationship to Data Management Data Management is one of the hottest topics in our industry as Global 2000 companies and large government agencies are beginning to understand that wit
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4 Aug, 2017
Text and Business Value
04 August, 2017
William H. Inmon
Best Practices
The business value of text is immense, but it is not well understood by most organizations. Analysis of textual data can provide a wide variety of benefits. It is intuitively obvious to many people that there is great business value that can be derived from the analysis of text. But the relationship between business value and the analysis of text is not obvious to everyone. So, in order to explici
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3 Jul, 2017
Responsibility for Textual Data
03 July, 2017
William H. Inmon
Best Practices
Textual data is a valuable component for business analytics, but the responsibility for gathering and managing textual data is unclear. Consider textual processing for delivering business value. Where does the end user turn? The end user certainly recognizes the value of textual data. Intuitively the end user knows that there is a wealth of value to be found in text. But the end user also knows th
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23 Jun, 2017
Is Text Unstructured?
23 June, 2017
William H. Inmon
Best Practices
Text, the basis of language, can be considered to be unstructured by technicians. However, for others, text and language have a definite structure. It is the simplest of questions. Ask any technician if text – language – is structured or unstructured. If your technician is knowledgeable, the technician will assure you that text is unstructured. In fact the technician will think that you are so
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5 Jun, 2017
Managed Metadata Environment (MME): A Complete Walkthrough
05 June, 2017
David Marco
Metadata Management
A managed metadata environment (MME) is the optimal approach to metadata architecture for meeting business and technical requirements Introduction Almost every corporation and government agency has already built, is in the process of building, or is looking to build a Managed Metadata Environment (MME), either as part of a metadata solution or within an enterprise data management initiative. Man
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