Mapping the risks : assessing the homeland security implications of publicly available geospatial information
Assesses the homeland security implications of publicly available geospatial data and information. Following the attacks of September 11, 2001, many agencies within the federal government began restricting some of their publicly available geospatial data and information from such sources as the World Wide Web. As time passes, however, decisionmakers have begun to ask whether and how such information specifically helps potential attackers, including terrorists, to select U.S. homeland sites and prepare for better attacks. The research detailed in this book aims to assist decisionmakers tasked with the responsibility of choosing which geospatial information to make available and which to restrict.
Public-Private Partnerships for Data Sharing: A Dynamic Environment
Abstract : This report presents a RAND analysis of public-private partnerships focused on data sharing. Many different practical case studies, models of data sharing partnering, were analyzed to understand differences and similarities in the practical approaches to data sharing, especially geospatial data sharing. This report can provide useful information to federal policy makers about how to more effectively partner with non-federal partners. It should also be of interest to state and local governments, non-governmental organizations, researchers, and others who are interested in data sharing partnerships, especially those with interests in geospatial data. This research was originally sponsored by the White House Office of Science and Technology Policy (OSTP) through RAND's Science and Technology Policy Institute. Originally created by Congress in 1991 as the Critical Technologies Institute and renamed in 1998, the Science and Technology Policy Institute is a federally funded research and development center sponsored by the National Science Foundation and managed by RAND. The Institute's mission is to help improve public policy by conducting objective, independent research and analysis on policy issues that involve science and technology.
ETL Tools in Enterprise Data Warehouse
A B S T R A C T An enterprise data warehouse (EDW) also known as Data warehouse (DW), is a system used for reporting and data analysis. DWs are central repositories of integrated data from one or more disparate sources. ExtractionTransformation-Loading (ETL) processes are responsible for all the operations taking place at the warehouse. These processes are performed by specialized tools known as ETL tools or also called as Data Integration tools. The ETL tools are available in the market either as closed source software or as open source software. An ETL tool from both these categories has their advantages and suffers from some limitations as well. The main objective of this paper is to highlight the importance of the data integration tools or also known as ETL tools in business intelligence environment.