An in-depth Oracle Press guide to Oracle Exalytics In-Memory Machine

Written by Oracle ACE Director Mark Rittman, this e-book offers comprehensive coverage of Oracle Exalytics In-Memory Machine, the best-in-class, preintegrated BI platform. After an overview of the product and its capabilities, you'll get complete details on installation, configuration, administration, maintenance, and creation of the in-memory adaptive data mart that powers the "speed‑ of‑thought" dashboards. Expert tips for integrating with both Oracle and non-Oracle enterprise data sources are included. Enable your organization to analyze large amounts of data via rich, visual dashboards using Oracle Exalytics In-Memory Machine and this Oracle Press guide.

Compliance wird oft als Verpflichtung betrachtet, die nur mit hohen Kosten umsetzbar ist. Dabei kann eine effiziente und effektive Umsetzung regulatorischer Anforderungen an die IT-Kontrollen zu einem Wettbewerbsvorteil werden, wenn der richtige Ansatz fur deren Umsetzung gewahlt wird. Ein solcher Ansatz - eine methodische Vorgehensweise, um durch den Einsatz von Metriken die Effektivitat implementierter Kontrollen zu bewerten, Verbesserungspotential zu identifizieren und zu kommunizieren - wird in dem Buch vorgestellt. Neben einer umfassenden Sammlung von Metriken, welche direkt ubernommen werden konnen, bietet das Buch ebenfalls die notwendige praxistaugliche Methodik zur Entwicklung weiterer eigener Metriken, Vorgehensweisen zur Aggregation von Metriken bis hin zur Informations- und Entscheidungsvorlagen fur das Management sowie Beispiele fur die angemessene Darstellung der Ergebnisse im Rahmen von Audit, Monitoring und Reporting.

Practical Applications Of Data Mining Emphasizes Both Theory And Applications Of Data Mining Algorithms. Various Topics Of Data Mining Techniques Are Identified And Described Throughout, Including Clustering, Association Rules, Rough Set Theory, Probability Theory, Neural Networks, Classification, And Fuzzy Logic. Each Of These Techniques Is Explored With A Theoretical Introduction And Its Effectiveness Is Demonstrated With Various Chapter Examples. This Book Will Help Any Database And IT Professional Understand How To Apply Data Mining Techniques To Real-World Problems. Following An Introduction To Data Mining Principles, Practical Applications Of Data Mining Introduces Association Rules To Describe The Generation Of Rules As The First Step In Data Mining. It Covers Classification And Clustering Methods To Show How Data Can Be Classified To Retrieve Information From Data. Statistical Functions And Drough Set Theory Are Discussed To Demonstrate How Statistical And Rough Set Formulas Can Be Used For Data Analytics And Knowlege Discovery. Neural Networks Is An Important Branch In Computational Intelligence. It Is Introduced And Explored In The Text To Investigate The Role Of Neural Network Algorithms In Data Analytics.

Data Mining and Business Intelligence: A Guide to Productivity provides an overview of data mining technology and how it is applied in a business environment. It describes the corresponding data mining methodologies that are used to solve a variety of business problems which enhance firm-level efficiency in a less technical, more managerial style. The book incorporates the data mining process into the spectrum of complementary technologies that together comprise corporate information systems that promote business intelligence. Business intelligence involves the proliferation of value-added information throughout a given enterprise through the use of various applications that promotes efficiency for the firm.

Idealer Einstieg fur Studierende der Informatik in die Mathematik: * Jedes Kapitel beginnt mit konkreten, dem Leser vertrauten Begriffen oder Situationen. Davon ausgehend wird schrittweise bis hin zu den gebrauchlichen abstrakten Begriffen der modernen Mathematik abstrahiert. * Jedes Kapitel beschreibt viele interessante Situationen des Alltagslebens, in denen die zuvor eingefuhrten abstrakten Begriffe und die bewiesenen Ergebnisse zum Einsatz kommen. Dabei wird auf Anwendungen mit einem engen Bezug zur Informatik eingegangen wie: Routenplaner, Google-Suche, Kryptographie, Codierungstheorie, Datenkompressionen, Hashtabellen und Sudoku. Durch Loesungen aller UEbungsaufgaben auch sehr gut zum Selbststudium geeignet.

Python is used in a wide range of geoscientific applications, such as in processing images for remote sensing, in generating and processing digital elevation models, and in analyzing time series. This book introduces methods of data analysis in the geosciences using Python that include basic statistics for univariate, bivariate, and multivariate data sets, time series analysis, and signal processing; the analysis of spatial and directional data; and image analysis. The text includes numerous examples that demonstrate how Python can be used on data sets from the earth sciences. The supplementary electronic material (available online through Springer Link) contains the example data as well as recipes that include all the Python commands featured in the book.

Studierende, die ein Informatikstudium aufnehmen, brauchen zu Beginn vor allem eines: mathematische Grundkenntnisse. Dieser Crashkurs soll Studierenden im ersten Semester helfen, moglichst rechtzeitig diese Fahigkeiten zu erwerben.
Durch viele motivierende Beispiele, erklarende Bilder und konkrete Darstellungen weckt das Buch Freude an der Mathematik und sichert den erfolgreichen Einstieg."

In dem Lehrbuch wird eine mathematisch orientierte Einfuhrung in die algorithmische Geometrie gegeben. Im ersten Teil werden "klassische" Probleme und Techniken behandelt, die sich auf polyedrische (= linear begrenzte) Objekte beziehen. Hierzu gehoeren beispielsweise Algorithmen zur Berechnung konvexer Hullen und die Konstruktion von Voronoi-Diagrammen. Im zweiten Teil werden grundlegende Methoden der algorithmischen algebraischen Geometrie entwickelt und anhand von Anwendungen aus Computergrafik, Kurvenrekonstruktion und Robotik illustriert. Das Buch eignet sich fur ein fortgeschrittenes Modul in den derzeit neu konzipierten Bachelor-Studiengangen in Mathematik und Informatik.

Der Kostendruck im Gesundheitswesen steigt stetig und zwingt zum Handeln dringender denn je. Dieses Buch stellt die IT auf den Prufstand und zeigt, wie mit der Auswahl geeigneter Systeme Kosten reduziert und Ablaufe in medizinischen Einrichtungen optimiert werden konnen."

Business-Process- und Workflow-Management, oder wie erreicht man eine Prozessverbesserung durch Prozessmanagement im Unternehmen ist ein topaktuelles Thema. Viele reden davon, Organisationen in Prozessorganisationen umzuwandeln, oder den Prozessgedanken in den Vordergrund der Organisation zu rucken, nicht nur um den aktuellen ISO-Normen zu genugen, sondern auch Effizienzverbesserungen zu erzielen. Dieses Buch leistet einen Beitrag dazu, das Prozessdenken in der Wirtschaftswelt zu verbreiten und zu verstarken, um Ablaufe klarer, realitatsnah und verstandlich darzustellen, zu verbessern und umzusetzen."

Many faces of modern computing - from archiving data to coding theory to image processing ¿ rely heavily on data compression. This new and practical guide explains the process of compressing all types of computer data, as well as the use of significant methods and algorithms. Its purpose is to succinctly describe both the principles underlying the field of data compression and how to use the key methods effectively. A Guide to Data Compression Methods concentrates on general concepts and methods and describes them with a minimal amount of mathematical detail. It presents the main approaches to data compression, describes the most important algorithms, and includes straightforward examples. Statistical, dictionary, and wavelet methodologies are addressed in specific chapters, as well as image, video, and audio compression. The reader can expect to gain a basic understanding of the key algorithms and methods used to compress data for storage and transmission. Topics and features: ¿ All core methods are clearly explained with realistic examples, and some computer code is included ¿ Accessible presentation, with only minimum computer and mathematics technical background ¿ Discussion of wavelet methods and JPEG 2000 ¿ Appendix lists all algorithms presented in the book ¿ CD-ROM included compromising computer code from the book and extensive public-domain compression utility programs This book is an invaluable practical reference and guide for all practitioners and professionals in computer science, software engineering, and programming.

Protect your digital resources! This book addresses critical issues of preservation, giving you everything you need to effectively protect your resources-from dealing with obsolescence, to responsibilities, methods of preservation, cost, and metadata formats. It also gives examples of numerous national and international institutions that provide frameworks for digital libraries and archives. A long-overdue text for anyone involved in the preservation of digital information, this book is critical in understanding today's methods and practices, intellectual discourse, and preservation guidelines. A must for librarians, archiving professionals, faculty and students of library science, administrators, and corporate leaders!

Anhand von zahlreichen Beispielen und Szenarien werden die einzelnen HR-Module von R/3 praxisorientiert vorgestellt und naher erlautert. Unter anderem sind folgende aktuelle Themen anhand des aktuellen Releasestandes 4.5 B im Blickpunkt: Vergutungsmanagement und Kostenplanung, Personalabrechnung, Zeitwirtschaft, Reisemanagement, HR-Internetanbindung etc."

Data warehousing is revolutionizing the way businesses in a wide variety of industries perform analysis and make strategic decisions. This volume offers IT professionals comprehensive coverage of every significant topic in data warehousing systems.

The author provides a complete overview of data warehousing together with in-depth explanations of critical issues in planning, design, deployment, and ongoing maintenance. IT professionals will gain a clear understanding of techniques for extraction of data from source systems, data transformations, data staging, data warehouse architecture and infrastructure, and the various methods for information delivery.

Data Warehousing Fundamentals includes review questions and exercises appropriate for self-study or classroom work, industry examples applicable to real-world situations, and an appendix containing valuable guidelines for evaluating vendor solutions. Specifically written for professionals designing, implementing, or maintaining data warehousing systems, this practical book spans the entire landscape of the subject.

The researcher in computer content analysis is often faced with a paucity of guidance in conducting a study. Published exemplars of best practice in computer content analysis are rare, and computer content analysis seems to have developed independently in a number of disciplines, with researchers in one field often unaware of new and innovative techniques developed by researchers in other areas. This volume contains numerous articles illustrating the current state of the art of computer content analysis. Research is presented by scholars in political science, natural resource management, mass communication, marketing, education, and other fields, with the aim of providing exemplars for further research on the computer analysis and understanding of textual materials.

The studies presented in "Applications of Computer Content Analysis" offer a varied spectrum of exemplary studies, Researchers can, due to the breadth of the studies presented here, find methodological, theoretical, and practical suggestions which will significantly ease the process of creating new research--and will significantly reduce the duplication of effort which has, until now, plagued computer content analytic research. Intended for an audience of graduate students, scholars, and in-field practitioners, this will serve as an invaluable resource, full of useful examples, for those interesting in using computers to analyze newspapers articles, emails, mediated communication, or any other sort of digital communication.

The aim of this volume is to brief researchers of the importance of data analysis in enzymology, of the modern methods that have developed concomitantly with computer hardware, and of the need to validate their computer programs with real and synthetic data to ascertain that the results produced are what they expected.

Solve Data Analytics Problems with Spark, PySpark, and Related Open Source Tools Spark is at the heart of today's Big Data revolution, helping data professionals supercharge efficiency and performance in a wide range of data processing and analytics tasks. In this guide, Big Data expert Jeffrey Aven covers all you need to know to leverage Spark, together with its extensions, subprojects, and wider ecosystem. Aven combines a language-agnostic introduction to foundational Spark concepts with extensive programming examples utilizing the popular and intuitive PySpark development environment. This guide's focus on Python makes it widely accessible to large audiences of data professionals, analysts, and developers-even those with little Hadoop or Spark experience. Aven's broad coverage ranges from basic to advanced Spark programming, and Spark SQL to machine learning. You'll learn how to efficiently manage all forms of data with Spark: streaming, structured, semi-structured, and unstructured. Throughout, concise topic overviews quickly get you up to speed, and extensive hands-on exercises prepare you to solve real problems. Coverage includes: * Understand Spark's evolving role in the Big Data and Hadoop ecosystems * Create Spark clusters using various deployment modes * Control and optimize the operation of Spark clusters and applications * Master Spark Core RDD API programming techniques * Extend, accelerate, and optimize Spark routines with advanced API platform constructs, including shared variables, RDD storage, and partitioning * Efficiently integrate Spark with both SQL and nonrelational data stores * Perform stream processing and messaging with Spark Streaming and Apache Kafka * Implement predictive modeling with SparkR and Spark MLlib

Das Wegweiser-Buch weist Wege zum erfolgreichen Einsatz des Commo- dore 64. Das Wegweiser-Buch vermittelt aktuelles Grundlagenwissen zur Datenver- arbeitung bzw. Informatik: -Was ist Hardware, Software und Firmware? - Was sind Grosscomputer und Mikrocomputer? - Was sind Datenstrukturen und Programmstrukturen? -Was sind Betriebssysteme und Anwenderprogramme? - Was heisst, fertige Programm-Pakete einsetzen'? -Was beinhaltet das eigene Programmieren? Nach der Lekture dieses Abschnitts sind Sie in der Lage, den Commodore 64 in den Gesamtrahmen des Gebiets Datenverarbeitung/Informatik einzu- ordnen. Das Wegweiser-Buch gibt eine erste Bedienungsanleitung: -Wie bediene ich Tastatur, Bildschirm, Floppy bzw. Disketteneinheit und Drucker des Commodore 64? -Wie erstelle ich mein erstes Programm in der Programmiersprache BASIC 2.0? -Welche Befehle umfasst BASIC 2.0 (zu jedem Befehl wird ein Beispiel an- gegeben)? -Welche Moeglichkeiten bieten die drei Sprachversionen BASIC 2.0, BASIC 4.0 und SIMON's BASIC? - Laufen die Programme des Commodore 64 auf anderen Mikrocomputern von Commodore? Nach dem Durcharbeiten dieses Abschnitts koennen Sie Ihren Commodore 64 bedienen, Programme laufen lassen und einfache BASIC-Programme selbst erstellen und speichern. Das Wegweiser-Buch enthalt einen kompletten Programmierkurs mit folgen- den grundlegenden BASIC-Anwendungen: - Programme mit den wichtigen Ablaufstrukturen (Folge-, Auswahl-, W- derholungs-und Unterprogrammstrukturen). - Verarbeitung von Text, Ein-/Ausgabe und Tabellen. - Maschinennahe Programmierung( ... Bit fur Bit). - Suchen, Sortieren, Mischen und Gruppieren von Daten. - Sequentielle Datei und Direktzugriff-Datei mit den Sprachen BASIC 2.0 und BASIC 4.0. Vorwort VI - Normale Grafik mit der Standardsprache BASIC 2.0. - Hl RES-Grafik und Sprite-Grafik mit SIMON's BASIC.

Qualitative and Mixed Methods Data Analysis Using Dedoose (R): A Practical Approach for Research Across the Social Sciences provides both new and experienced researchers with a guided introduction to dealing with the methodological complexity of mixed methods and qualitative inquiry using Dedoose (R) software. The authors use their depth of experience designing and updating Dedoose (R) as well as their published research to give the reader practical strategies for using Dedoose (R) from a wide range of research studies. Case study contributions by outside researchers provide readers with rich examples of how to use Dedoose (R) in practical, applied social science and health settings.

Das Buch beinhaltet die Ergebnisse des dreijahrigen Verbundprojekts Separator i4.0 des BMBF-Spitzenclusters it's OWL. Gegenstand des Projekts war die nachhaltige Einbindung von Expertenwissen in die zukunftsweisende Weiterentwicklung und Optimierung von Separationsprozessen. Durch die Entwicklung neuartiger intelligenter Komponenten aus dem Bereich der Sensorik wird es zukunftig moeglich sein, Separatoren und die zugehoerigen Prozesszusammenhange zu verstehen und diese oekologisch/oekonomisch optimal auszulegen und zu betreiben. Hierzu wurde ein Instrumentarium bestehend aus Methoden und Loesungen erarbeitet, das daruber hinaus auf analoge Problemstellungen komplexer maschinenbaulicher Anlagen anwendbar sein wird.

Von namhaften Professoren empfohlen: State-of-the-Art bietet das Buch zu diesem klassischen Bereich der Informatik. Die wesentlichen Methoden wissensbasierter Systeme werden verstandlich und anschaulich dargestellt. Reprasentation und Verarbeitung sicheren und unsicheren Wissens in maschinellen Systemen stehen dabei im Mittelpunkt. Ein Online-Service mit ausfuhrlichen Musterloesungen erleichtert das Lernen.

This comprehensive and authoritative guide will teach you the DAX language for business intelligence, data modeling, and analytics. Leading Microsoft BI consultants Marco Russo and Alberto Ferrari help you master everything from table functions through advanced code and model optimization. You'll learn exactly what happens under the hood when you run a DAX expression, how DAX behaves differently from other languages, and how to use this knowledge to write fast, robust code. If you want to leverage all of DAX's remarkable power and flexibility, this no-compromise "deep dive" is exactly what you need. Perform powerful data analysis with DAX for Microsoft SQL Server Analysis Services, Excel, and Power BI Master core DAX concepts, including calculated columns, measures, and error handling Understand evaluation contexts and the CALCULATE and CALCULATETABLE functions Perform time-based calculations: YTD, MTD, previous year, working days, and more Work with expanded tables, complex functions, and elaborate DAX expressions Perform calculations over hierarchies, including parent/child hierarchies Use DAX to express diverse and unusual relationships Measure DAX query performance with SQL Server Profiler and DAX Studio