Data Virtualization for Business Intelligence Systems

Revolutionizing Data Integration for Data Warehouses
Author: Rick van der Lans
Publisher: Elsevier
ISBN: 0123978173
Category: Computers
Page: 296
View: 5901

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Data virtualization can help you accomplish your goals with more flexibility and agility. Learn what it is and how and why it should be used with Data Virtualization for Business Intelligence Systems. In this book, expert author Rick van der Lans explains how data virtualization servers work, what techniques to use to optimize access to various data sources and how these products can be applied in different projects. You’ll learn the difference is between this new form of data integration and older forms, such as ETL and replication, and gain a clear understanding of how data virtualization really works. Data Virtualization for Business Intelligence Systems outlines the advantages and disadvantages of data virtualization and illustrates how data virtualization should be applied in data warehouse environments. You’ll come away with a comprehensive understanding of how data virtualization will make data warehouse environments more flexible and how it make developing operational BI applications easier. Van der Lans also describes the relationship between data virtualization and related topics, such as master data management, governance, and information management, so you come away with a big-picture understanding as well as all the practical know-how you need to virtualize your data. First independent book on data virtualization that explains in a product-independent way how data virtualization technology works. Illustrates concepts using examples developed with commercially available products. Shows you how to solve common data integration challenges such as data quality, system interference, and overall performance by following practical guidelines on using data virtualization. Apply data virtualization right away with three chapters full of practical implementation guidance. Understand the big picture of data virtualization and its relationship with data governance and information management.

Operational Business Intelligence im Kontext der Analyse und Steuerung von Geschäftsprozessen


Author: Tom Hänel
Publisher: Springer-Verlag
ISBN: 3658166355
Category: Computers
Page: 257
View: 521

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Tom Hänel untersucht die Erweiterung des Einsatzfeldes von Business Intelligence auf die Leistungsbeurteilung operativer Geschäftsprozesse. Dies schließt die Erstellung multidimensionaler Datenmodelle und CASE-basierter Systementwürfe ein, um Prozessdaten automatisiert zu integrieren und standardisiert zu analysieren. Der Autor entwickelt Methoden, die es Entscheidungsträgern ermöglichen, Technologien und Werkzeuge aus dem Bereich der analytischen Informationssysteme mit fachlichen Fragestellungen einer Analyse und Steuerung von Geschäftsprozessen in Einklang zu bringen.

Tag des Systems Engineering


Author: Maik Maurer,Sven-Olaf Schulze
Publisher: Carl Hanser Verlag GmbH Co KG
ISBN: 3446443762
Category: Technology & Engineering
Page: 420
View: 5529

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Inhaltsbeschreibung folgt

Recent Advances in Information Systems and Technologies


Author: Álvaro Rocha,Ana Maria Correia,Hojjat Adeli,Luís Paulo Reis,Sandra Costanzo
Publisher: Springer
ISBN: 3319565354
Category: Computers
Page: 930
View: 3789

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This book presents a selection of papers from the 2017 World Conference on Information Systems and Technologies (WorldCIST'17), held between the 11st and 13th of April 2017 at Porto Santo Island, Madeira, Portugal. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences and challenges involved in modern Information Systems and Technologies research, together with technological developments and applications. The main topics covered are: Information and Knowledge Management; Organizational Models and Information Systems; Software and Systems Modeling; Software Systems, Architectures, Applications and Tools; Multimedia Systems and Applications; Computer Networks, Mobility and Pervasive Systems; Intelligent and Decision Support Systems; Big Data Analytics and Applications; Human–Computer Interaction; Ethics, Computers & Security; Health Informatics; Information Technologies in Education; and Information Technologies in Radiocommunications.

Data Science für Dummies


Author: Lillian Pierson
Publisher: John Wiley & Sons
ISBN: 352780675X
Category: Mathematics
Page: 382
View: 9068

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Daten, Daten, Daten? Sie haben schon Kenntnisse in Excel und Statistik, wissen aber noch nicht, wie all die Datensätze helfen sollen, bessere Entscheidungen zu treffen? Von Lillian Pierson bekommen Sie das dafür notwendige Handwerkszeug: Bauen Sie Ihre Kenntnisse in Statistik, Programmierung und Visualisierung aus. Nutzen Sie Python, R, SQL, Excel und KNIME. Zahlreiche Beispiele veranschaulichen die vorgestellten Methoden und Techniken. So können Sie die Erkenntnisse dieses Buches auf Ihre Daten übertragen und aus deren Analyse unmittelbare Schlüsse und Konsequenzen ziehen.

Big Data

Die Revolution, die unser Leben verändern wird
Author: Viktor Mayer-Schönberger,Viktor; Cukier Mayer-Schönberger
Publisher: Redline Wirtschaft
ISBN: 3864144590
Category: Political Science
Page: 288
View: 1948

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Ob Kaufverhalten, Grippewellen oder welche Farbe am ehesten verrät, ob ein Gebrauchtwagen in einem guten Zustand ist – noch nie gab es eine solche Menge an Daten und noch nie bot sich die Chance, durch Recherche und Kombination in der Daten¬flut blitzschnell Zusammenhänge zu entschlüsseln. Big Data bedeutet nichts weniger als eine Revolution für Gesellschaft, Wirtschaft und Politik. Es wird die Weise, wie wir über Gesundheit, Erziehung, Innovation und vieles mehr denken, völlig umkrempeln. Und Vorhersagen möglich machen, die bisher undenkbar waren. Die Experten Viktor Mayer-Schönberger und Kenneth Cukier beschreiben in ihrem Buch, was Big Data ist, welche Möglichkeiten sich eröffnen, vor welchen Umwälzungen wir alle stehen – und verschweigen auch die dunkle Seite wie das Ausspähen von persönlichen Daten und den drohenden Verlust der Privatsphäre nicht.

Modern Enterprise Business Intelligence and Data Management

A Roadmap for IT Directors, Managers, and Architects
Author: Alan Simon
Publisher: Morgan Kaufmann
ISBN: 0128017457
Category: Computers
Page: 96
View: 3890

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Nearly every large corporation and governmental agency is taking a fresh look at their current enterprise-scale business intelligence (BI) and data warehousing implementations at the dawn of the "Big Data Era"...and most see a critical need to revitalize their current capabilities. Whether they find the frustrating and business-impeding continuation of a long-standing "silos of data" problem, or an over-reliance on static production reports at the expense of predictive analytics and other true business intelligence capabilities, or a lack of progress in achieving the long-sought-after enterprise-wide "single version of the truth" – or all of the above – IT Directors, strategists, and architects find that they need to go back to the drawing board and produce a brand new BI/data warehousing roadmap to help move their enterprises from their current state to one where the promises of emerging technologies and a generation’s worth of best practices can finally deliver high-impact, architecturally evolvable enterprise-scale business intelligence and data warehousing. Author Alan Simon, whose BI and data warehousing experience dates back to the late 1970s and who has personally delivered or led more than thirty enterprise-wide BI/data warehousing roadmap engagements since the mid-1990s, details a comprehensive step-by-step approach to building a best practices-driven, multi-year roadmap in the quest for architecturally evolvable BI and data warehousing at the enterprise scale. Simon addresses the triad of technology, work processes, and organizational/human factors considerations in a manner that blends the visionary and the pragmatic. Takes a fresh look at true enterprise-scale BI/DW in the "Dawn of the Big Data Era" Details a checklist-based approach to surveying one’s current state and identifying which components are enterprise-ready and which ones are impeding the key objectives of enterprise-scale BI/DW Provides an approach for how to analyze and test-bed emerging technologies and architectures and then figure out how to include the relevant ones in the roadmaps that will be developed Presents a tried-and-true methodology for building a phased, incremental, and iterative enterprise BI/DW roadmap that is closely aligned with an organization’s business imperatives, organizational culture, and other considerations

Wem gehört die Zukunft?

"Du bist nicht der Kunde der Internetkonzerne. Du bist ihr Produkt."
Author: Jaron Lanier
Publisher: Hoffmann und Campe
ISBN: 3455851134
Category: Political Science
Page: 464
View: 6749

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"Du bist nicht der Kunde der Internetkonzerne. Du bist ihr Produkt." Spätestens seit den Enthüllungen des Whistleblowers Edward Snowden ist klar: Die "schöne neue Welt" nimmt Gestalt an, und es wird höchste Zeit, ihr etwas entgegenzusetzen. Internetpionier und Cyberguru Jaron Lanier liefert eine profunde Analyse der aktuellen Trends in der Netzwerkökonomie, die sich in Richtung Totalüberwachung und Ausbeutung der Massen bewegt. Der Bestseller aus den USA endlich auf Deutsch!

Implementation Patterns

Der Weg zu einfacherer und kostengünstigerer Programmierung
Author: Kent Beck
Publisher: Pearson Deutschland GmbH
ISBN: 9783827326447
Category:
Page: 191
View: 4028

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Supply Chain Management

Strategie, Planung und Umsetzung
Author: Sunil Chopra,Peter Meindl
Publisher: N.A
ISBN: 9783868941883
Category: Business logistics
Page: 629
View: 3803

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In-Memory-Datenbank SAP HANA


Author: Peter Preuss
Publisher: Springer-Verlag
ISBN: 3658186038
Category: Business & Economics
Page: 167
View: 2028

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Der vorliegende Sammelband enthält Beiträge zum Thema SAP HANA, einer Softwareplattform, die im Kern aus einer In-Memory-Datenbank besteht. Im ersten Beitrag werden die theoretischen Grundlagen gelegt und der aktuelle Markt für In-Memory-Datenbanken untersucht. Anhand eines konkreten Fallbeispiels wird im darauffolgenden Beitrag die Vorgehensweise bei einer SAP-HANA-Migration erläutert. Anschließend werden mögliche Migrationsstrategien für einen Systemwechsel von SAP ERP nach SAP HANA diskutiert. Der vierte Beitrag geht auf den SAP Solution Manager ein, mit dem die Einführung von SAP HANA unterstützt wird. Schließlich werden Backup- und Recovery-Konzepte untersucht, die eine wichtige Rolle bei In-Memory-Datenbanken spielen.​

Co-locating Transactional and Data Warehouse Workloads on System z


Author: Mike Ebbers,Dino Tonelli,Jason Arnold,Patric Becker,Yuan-Chi Chang,Willie Favero,Shantan Kethireddy,Nin Lei,Shirley Lin,Ron Lounsbury,Susan Widing Lynch,Cristian Molaro,Deepak Rangarao,Michael Schapira,IBM Redbooks
Publisher: IBM Redbooks
ISBN: 0738434787
Category: Computers
Page: 540
View: 7787

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As business cycles speed up, many customers gain significant competitive advantage from quicker and more accurate business decision-making by using real data. For many customers, choosing the path to co-locate their transactional and analytical workloads on System z® better leverages their existing investment in hardware, software, and skills. We created a project to address a number of best practice questions on how to manage these newer, analytical type workloads, especially when co-located with traditional transactional workloads. The goal of this IBM® Redbooks® publication is to provide technical guidance and performance trade-offs associated with resource management and potentially DB2® data-sharing in a variety of mixed transactional / data warehouse System z topologies. The term co-location used here and in the rest of the book is specifically defined as the practice of housing both transactional (OLTP) and data warehouse (analytical) workloads within the same System z configuration. We also assumed that key portions of the transactional and data warehouse databases would reside on DB2 for z/OS®. The databases may or may not reside in a DB2 data-sharing environment; we discuss those pros and cons in this book. The intended audience includes DB2 data warehouse architects and practitioners who are facing choices in resource management and system topologies in the data warehouse arena. This specifically includes Business Intelligence (BI) administrators, DB2 database administrators (DBAs) and z/OS performance administrators / systems programmers. In addition, decision makers and architects can utilize this book to assist in making platform and database topology decisions. The book is divided into four parts. Part I, "Introducing the co-location project" covers the System z value proposition and why one should consider System z as the central platform for their data warehousing / business analytics needs. Some topics are risk avoidance via data consolidation, continuous availability, simplified disaster recovery, IBM Smart Analytics Optimizer, reduced network bandwidth requirements, and the unique virtualization and resource management capabilities of System z LPAR, z/VM® and WLM. Part I also provides some of the common System z co-location topologies along with an explanation of the general pros and cons of each. This would be useful input for an architect to understand where a customer is today and where they might consider moving to. Part II, "Project environment" covers the environment, products, workloads, workload drivers, and data models implemented for this study. The environment consisted of a logically partitioned z10TM 32way, running z/VM, Linux®, and z/OS operating system instances. On those instances we ran products such as z/OS DB2 V9, IBM Cognos® Business Intelligence Version 8.4 for Linux on System z, InfoSphereTM Warehouse for System z, InfoSphere Change Data Capture, z/OS WebSphere® V7, Tivoli® Omegamon for DB2 Performance expert. Utilizing these products we created transactional (OLTP), data warehouse query, and data warehouse refresh workloads. All the workloads were based on an existing web-based transactional Bookstore workload, that's currently utilized for internal testing within the System p® and z labs. While some IBM Cognos BI and ISWz product usage and experiences information is covered in this book, we do not go into the depth typically found in IBM Redbooks publications, since there's another book focused specifically on that

iWoz

wie ich den Personal Computer erfand und Apple mitbegründete
Author: Steve Wozniak,Gina Smith
Publisher: N.A
ISBN: 9783423345071
Category:
Page: 321
View: 5859

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Business Intelligence and Mobile Technology Research

An Information Systems Engineering Perspective
Author: Mohamed Ridda Laouar,Sean B. Eom
Publisher: Cambridge Scholars Publishing
ISBN: 1443858358
Category: Technology & Engineering
Page: 322
View: 2310

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All business organizations strive for increasing their growth by seizing new opportunities, reducing enterprise costs, attracting new customers and retaining old customers. In doing so, business intelligence and analytics allow business organizations to make better plans, informed decisions, and monitor their progress towards planned goals and objectives. The more disruptive power of IT technologies comes synergistically. Individual IT technologies do not work in isolation. Business intelligence systems are built on other digital technologies, such as mobile and collaborative technologies, cloud computing, virtualization, and enterprise resource planning and enterprise information systems. This volume presents sixteen of the most insightful research papers amongst the various contributions accepted for presentations at the International Conference on Information Systems and Technologies (ICIST 2013) and the International Conference on Software Engineering and New Technologies (ICSENT’12), held in Tangier, Morocco, and Hammamet, Tunisia respectively. These papers truly represent what today’s CIOs see as the top-priority disruptive IT technologies that will help business organizations seize digital opportunities to increase their growth and reduce operating costs.

Data mining, data warehousing

datenschutzrechtliche Orientierungshilfen für Privatunternehmen
Author: Alex Schweizer
Publisher: N.A
ISBN: 9783280025406
Category: Data mining
Page: 416
View: 9835

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Private Unternehmung.