• A guide to cloud data management technology and trends

    As the use of cloud computing services and applications increases, cloud data management technologies are emerging as alternatives to traditional on-premises software. At the database level, cloud databases and Database as a Service (DaaS) platforms have become viable options for organizations looking to augment or replace in-house databases – the same goes for cloud data warehouse technology for business intelligence (BI) and analytics uses. In addition, data integration and quality vendors are offering cloud-based versions of their tools and building up their capabilities for supporting mixed installations of in-house and Software as a Service (SaaS) applications.

    But is data management in the cloud a good fit for your organization, and vice versa? Cloud data management offers potential benefits such as speeding up technology deployments and reducing both capital expenditures and system maintenance costs; it can also provide increased flexibility to help meet changing business requirements. But like other cloud computing technologies, cloud-based database systems and the other available data management options introduce potential drawbacks and challenges that can make some organizations cautious about adopting them – for example, data security concerns over the need to send sensitive business data outside the corporate firewall for storage.

    This cloud data management guide is designed to provide readers with practical information and advice on trends, issues and technology developments involving cloud database software, cloud data warehousing and cloud data integration technology. If your organization is considering an investment in cloud-based data management, or looking at broadening an initial deployment, use the information resources below to help ensure that you fully understand the pros and cons of the cloud approach.

  • Developing high-quality data models

    High Quality Data Modeling In this excerpt from Developing High Quality Data Models by Matthew West, readers will find tips on data modeling and observations on today's data models.

    ©2011 Elsevier, Inc. All rights reserved. Printed with permission from Morgan Kaufmann Publishers, an imprint of Elsevier. Copyright 2011. For more information on this title and other similar books, please visit elsevierdirect.com.

  • Trends in entity resolution research and applications

    In this excerpt from the book Entity Resolution and Information Quality, readers will learn about emerging entity resolution trends and applications.

    ©2011 Elsevier, Inc. All rights reserved. Printed with permission from Morgan Kaufmann Publishers, an imprint of Elsevier. Copyright 2011. For more information on this title and other similar books, please visit elsevierdirect.com.