Kategoria BISAC: Computers >> Database Administration & Management

Fabia Schaufele untersucht, wie die Technisierung von Tatigkeiten die Einflussverteilung in den sie umsetzenden sozio-technischen Konstellationen verandert. Die Autorin geht dieser Frage im Rahmen einer vergleichenden Studie von Profiling-Prozessen - zu Sicherheits- und Uberwachungszwecken - an Flughafen und beim Credit-Scoring nach. Sie knupft dabei theoretisch an den techniksoziologischen Diskurs der Handlungsfahigkeit von Technik an und zeigt - mithilfe der erweiterten Skriptanalyse - wie technisches Wirken differenziert analysiert und verglichen werden kann.

• Designing and implementing an effective data...

Pervasive, data is a unique organizational resource, and this distinction warrants its own strategy. Data, representing your single non-depletable, non-degradable, durable strategic asset, is likely also your most poorly leveraged and underutilized organizational asset.
Lack of talent, barriers in organizational thinking, and seven specific data sins prevent most organizations from benefiting fully from their data asset investments. Solving these prerequisites will allow your organization to:
- Improve your organization's data;
- Improve the way your people use data;...

Federal Data Science serves as a guide for federal software engineers, government analysts, economists, researchers, data scientists, and engineering managers in deploying data analytics methods to governmental processes. Driven by open government (2009) and big data (2012) initiatives, federal agencies have a serious need to implement intelligent data management methods, share their data, and deploy advanced analytics to their processes. Using federal data for reactive decision making is not sufficient anymore, intelligent data systems allow for proactive activities...

Introductory Relational Database Design for Business with Microsoft Access takes a different approach to relational database design in that it develops understanding step-by-step, through numerous compact but realistic examples which build gradually in complexity. Readers will be able to achieve a thorough grounding in the technology and its applications and at every stage, the technology is presented through applications examples from business, as well as other fields, giving the reader a chance to concretely think through the details and issues that often arise.

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Big data technologies are used to achieve any type of analytics in a fast and predictable way, thus enabling better human and machine level decision making. Principles of distributed computing are the keys to big data technologies and analytics. The mechanisms related to data storage, data access, data transfer, visualization and predictive modeling using distributed processing in multiple low cost machines are the key considerations that make big data analytics possible within stipulated cost and time practical for consumption by human and machines. However, the current literature...