Realizing Optimal Value from Cloud Migration

24 August, 2017

Peter Stiglich

Database Operations

Realizing the most value from cloud migration can be achieved through adopting a new architecture to suit legacy and current databases Introduction Cloud adoption rates continue to increase due to the cost savings, flexibility, reliability, scalability, and often improved security that can be accomplished using a cloud solution. A PaaS (platform as a service) approach can be used to host existing

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

Building a Rock Solid Data and Analytics Strategy

14 August, 2017

Patricia L. Saporito

Analytics

Every organization’s analytics strategy should be connected to its data strategy; and every organization should have a data strategy that supports its business strategy Introduction Like the lyrics in the children’s song Dem Bones, “the hip bone’s connected to the thigh bone”, your data strategy is connected to your analytics strategy – or it should be! Further, your analytics strategy

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

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

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

Four Foundational Data Governance Policies

05 October, 2016

Anne Marie Smith, Ph.D.

Best Practices

New

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

Metadata Management Fundamentals

05 April, 2017

David P. Marco

Metadata Management

New

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

Text and Business Value

04 August, 2017

William H. Inmon

Best Practices

New

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

Responsibility for Textual Data

03 July, 2017

William H. Inmon

Best Practices

New

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