In-place analytics with live enterprise data with IBM DB2 query management facility

IBM® DB2® Query Management Facility™ for z/OS® provides a zero-footprint, mobile-enabled, highly secure business analytics solution. IBM QMF™ V11.2.1 offers many significant new features and functions in keeping with the ongoing effort to broaden its usage and value to a wider set of users and busin...

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Detalles Bibliográficos
Autor Corporativo: International Business Machines Corporation. International Technical Support Organization (-)
Otros Autores: Anderson, Doug, author (author), Biere, Mike, author, Olson, Linus, author, Sullivan, Shawn, author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Poughkeepsie, NY : IBM Corporation, International Technical Support Organization 2016.
Edición:First edition
Colección:IBM redbooks.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629889506719
Descripción
Sumario:IBM® DB2® Query Management Facility™ for z/OS® provides a zero-footprint, mobile-enabled, highly secure business analytics solution. IBM QMF™ V11.2.1 offers many significant new features and functions in keeping with the ongoing effort to broaden its usage and value to a wider set of users and business areas. In this IBM Redbooks® publication, we explore several of the new features and options that are available within this new release. This publication introduces TSO enhancements for QMF Analytics for TSO and QMF Enhanced Editor. A chapter describes how the QMF Data Service component connects to multiple mainframe data sources to accomplish the consolidation and delivery of data. This publication describes how self-service business intelligence can be achieved by using QMF Vision to enable self-service dashboards and data exploration. A chapter is dedicated to JavaScript support, demonstrating how application developers can use JavaScript to extend the capabilities of QMF. Additionally, this book describes methods to take advantage of caching for reduced CPU consumption, wider access to information, and faster performance. This publication is of interest to anyone who wants to better understand how QMF can enable in-place analytics with live enterprise data.
Notas:Number on resource description page: SG24837000.
Descripción Física:1 online resource (1 volume) : illustrations
Bibliografía:Includes bibliographical references.
ISBN:9780738442044