Modellierung von Business-Intelligence-Systemen: Leitfaden by Michael Hahne

By Michael Hahne

Die Modellierung von Business-Intelligence-Systemen (BI) umfasst eine Vielzahl unterschiedlicher Facetten, die im Kontext von Operational BI, agile Warehousing, Real-Time und Self-Service BI zu bewerten sind.

Dieses Buch beschreibt die Architektur und Gestaltung von unternehmensweiten analyseorientierten Informationssystemen insbesondere unter dem Aspekt zunehmend agiler Geschäftsanforderungen und deren Unterstützung durch BI-Methoden. Neben der Darstellung von top Practices der Historisierung und der Data-Mart-Modellierung ist der Aufbau eines company facts Warehouse von zentraler Bedeutung. Behandelt werden im Einzelnen:

- Business-Intelligence-Architektur
- Mehrdimensionale Datenstrukturen
- Semantische mehrdimensionale Modellierung
- Bestandteile und Varianten des Star-Schemas
- Historisierung und Zeitabhängigkeit im info Warehouse
- Faktenmodellierung
- Dimensionsmodellierung
- Core-Data-Warehouse-Modellierung

Dieses Buch ist ein Muss für alle mit der Gestaltung und Nutzung von BI-Systemen betrauten Architekten, Analysten, Entwickler und Projektleiter.

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Mastering Python for Data Science by Samir Madhavan

By Samir Madhavan

Explore the area of information technological know-how via Python and how one can make feel of data

About This Book

  • Master info technological know-how tools utilizing Python and its libraries
  • Create facts visualizations and mine for patterns
  • Advanced thoughts for the 4 basics of knowledge technology with Python - facts mining, facts research, information visualization, and computer learning

Who This ebook Is For

If you're a Python developer who desires to grasp the realm of information technology then this ebook is for you. a few wisdom of knowledge technology is assumed.

What you'll Learn

  • Manage facts and practice linear algebra in Python
  • Derive inferences from the research by way of acting inferential statistics
  • Solve info technology difficulties in Python
  • Create high-end visualizations utilizing Python
  • Evaluate and observe the linear regression strategy to estimate the relationships between variables.
  • Build suggestion engines with a number of the collaborative filtering algorithms
  • Apply the ensemble the right way to increase your predictions
  • Work with enormous information applied sciences to deal with info at scale

In Detail

Data technological know-how is a comparatively new wisdom area that is utilized by numerous companies to make info pushed judgements. information scientists need to put on a variety of hats to paintings with info and to derive price from it. The Python programming language, past having conquered the medical neighborhood within the final decade, is now an crucial instrument for the information technological know-how practitioner and a must-know instrument for each aspiring facts scientist. utilizing Python will give you a quick, trustworthy, cross-platform, and mature surroundings for info research, computer studying, and algorithmic challenge solving.

This complete advisor is helping you progress past the hype and go beyond the speculation by means of giving you a hands-on, complicated research of knowledge science.

Beginning with the necessities of Python in facts technology, you are going to learn how to deal with facts and practice linear algebra in Python. you'll flow directly to deriving inferences from the research by means of acting inferential information, and mining information to bare hidden styles and traits. you are going to use the matplot library to create high-end visualizations in Python and discover the basics of laptop studying. subsequent, you'll practice the linear regression procedure and in addition learn how to follow the logistic regression strategy to your purposes, earlier than growing advice engines with a number of collaborative filtering algorithms and bettering your predictions via using the ensemble methods.

Finally, you'll practice K-means clustering, in addition to an research of unstructured facts with diverse textual content mining thoughts and leveraging the ability of Python in sizeable facts analytics.

Style and approach

This e-book is an easy-to-follow, entire advisor on information technology utilizing Python. the subjects lined within the e-book can all be utilized in genuine international scenarios.

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Enterprise, Business-Process and Information Systems by Rainer Schmidt,Wided Guédria,Bider Ilia,Sérgio Guerreiro

By Rainer Schmidt,Wided Guédria,Bider Ilia,Sérgio Guerreiro

This ebook includes the refereed lawsuits of the seventeenth foreign convention on company procedure Modeling, improvement and aid, BPMDS 2016, and the twenty first foreign convention on Exploring Modeling tools for structures research and layout, EMMSAD 2016, held including the twenty eighth foreign convention on complex details platforms Engineering (CAiSE 2016) in Ljubljana, Slovenia, in June 2016.

The concentration topic for BPMDS 2016 papers was once ”Business tactics in a hooked up World”, for which 3 subthemes have been pointed out: enterprise techniques for connecting humans, connecting clever gadgets to enterprise procedures and connecting information/data/knowledge to enterprise procedures. The 17 complete and 1 brief paper approved for BPMDS have been chosen from forty eight submissions and are grouped into topical sections on procedure execution help; bettering usability of procedure types; social and human views; new instructions in technique modeling; consistency, correctness and compliance; approach and knowledge mining; and strategy variability.

The purpose of EMMSAD is to solicit papers on the topic of the sector of data platforms research and layout together with a number of info modeling tools and notations which are generally evolving. These ongoing alterations considerably effect the way in which details structures, corporations, and enterprise methods are being analyzed and designed in perform. The 12 complete papers permitted for EMMSAD have been selected from 19 submissions and are grouped into topical sections on primary concerns in modeling; requisites and laws; company and software program surroundings modeling; info and strategy version caliber; meta-modeling and area particular modeling and version composition; and modeling of structure and design.

 

 

 

 

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MySQL Cookbook: Solutions for Database Developers and by Paul DuBois

By Paul DuBois

MySQL’s attractiveness has introduced a flood of questions about the way to resolve particular difficulties, and that’s the place this cookbook is key. in the event you want quickly strategies or strategies, this useful source offers ratings of brief, targeted items of code, hundreds and hundreds of worked-out examples, and transparent, concise reasons for programmers who don’t have the time (or services) to unravel MySQL difficulties from scratch.

Ideal for rookies database and net builders, this up to date 3rd variation covers strong gains in MySQL 5.6 (and a few in 5.7). The ebook makes a speciality of programming APIs in Python, Hypertext Preprocessor, Java, Perl, and Ruby. With greater than 2 hundred+ recipes, you’ll find out how to:

  • Use the mysql consumer and write MySQL-based programs
  • Create, populate, and choose info from tables
  • Store, retrieve, and manage strings
  • Work with dates and times
  • Sort question effects and generate summaries
  • Use saved exercises, triggers, and scheduled events
  • Import, export, validate, and reformat data
  • Perform transactions and paintings with statistics
  • Process net enter, and generate websites from question results
  • Use MySQL-based internet consultation management
  • Provide defense and server administration

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Theories of Geographic Concepts: Ontological Approaches to by Marinos Kavouras,Margarita Kokla

By Marinos Kavouras,Margarita Kokla

most generally to be had techniques to semantic integration offer ad-hoc, non-systematic, subjective guide mappings that result in procrustean amalgamations to slot the objective regular, an end result that pleases nobody. Written through specialists within the box, Theories of Geographic strategies: Ontological methods to Semantic Integration emphasizes the genuine concerns concerned with integrating latest geo-ontologies.

The booklet addresses theoretical, formal, and pragmatic problems with geographic wisdom illustration and integration in line with an ontological process. The authors spotlight the significance of philosophical, cognitive, and formal theories in conserving the semantics of geographic thoughts in the course of ontology improvement and integration. They elucidate significant theoretical matters, then introduce a few formal instruments. The ebook delineates a normal framework with the mandatory tactics and guidance to ontology integration and applies it to a variety of ontology integration circumstances. It concludes with a retrospection of key matters and identifies open learn questions.

Copiously illustrated, the e-book includes greater than eighty illustrations and several other examples to numerous ways that supply a greater realizing of the complexity of ontology integration initiatives. The authors supply tips on choosing the main applicable process and information on its program to indicative integration problems.

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Oracle Database 11g Building Oracle XML DB Applications by Jinyu Wang

By Jinyu Wang

Master the XML Programming positive factors in Oracle Database 11g

Develop, debug, and administer data-backed XML purposes utilizing the professional guide and top practices during this Oracle Press advisor. Oracle Database 11g: construction Oracle XML DB Applications discusses the newest improvement instruments, applied sciences, and elements. the way to organize Oracle XML Database (Oracle XML DB), construct XML functions in Oracle JDeveloper 11g, paintings with XSLT stylesheets, and comprise full-text seek. Troubleshooting, functionality tuning, and safeguard also are lined during this entire resource.

  • Create, shop, and question XML forms utilizing Oracle XML DB
  • Load XML files into relational tables and outline SQL views
  • Parse and validate schema with Oracle XDK for Java and PL/SQL packages
  • Merge records, generate stories, and remodel information utilizing XSLT
  • Construct purposes from Oracle XML DB internet services
  • Use Oracle JDeveloper 11g to layout and set up XML applications
  • Integrate Oracle textual content and Oracle safe company seek features
  • Streamline the advance technique utilizing Oracle program Express

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Data Mining for Business Analytics: Concepts, Techniques, by Galit Shmueli,Peter C. Bruce,Mia L. Stephens,Nitin R. Patel

By Galit Shmueli,Peter C. Bruce,Mia L. Stephens,Nitin R. Patel

Data Mining for enterprise Analytics: options, thoughts, and purposes with JMP Pro® offers an  utilized and interactive method of info mining.

Featuring hands-on purposes with JMP Pro®, a statistical package deal from the SAS Institute, the book
uses enticing, real-world examples to construct a theoretical and functional figuring out of key information mining tools, in particular predictive versions for type and prediction. subject matters comprise facts visualization, measurement relief innovations, clustering, linear and logistic regression, class and regression timber, discriminant research, naive Bayes, neural networks, uplift modeling, ensemble versions, and time sequence forecasting.

Data Mining for enterprise Analytics: strategies, innovations, and functions with JMP seasoned® additionally includes:

  • Detailed summaries that offer an summary of key issues in the beginning of every chapter
  • End-of-chapter examples and workouts that let readers to extend their comprehension of the provided material
  • Data-rich case experiences to demonstrate a variety of purposes of knowledge mining techniques
  • A significant other web site with over dozen info units, workouts and case learn suggestions, and slides for instructors

Data Mining for company Analytics: techniques, thoughts, and functions with JMP Pro® is a superb textbook for complicated undergraduate and graduate-level classes on facts mining, predictive analytics, and company analytics. The ebook can be a special source for information scientists, analysts, researchers, and practitioners operating with analytics within the fields of administration, finance, advertising, details know-how, healthcare, schooling, and the other data-rich field.

Galit Shmueli, PhD, is exotic Professor at nationwide Tsing Hua University’s Institute of carrier technology. She has designed and prompt info mining classes on the grounds that 2004 at collage of Maryland, Statistics.com, Indian institution of commercial, and nationwide Tsing Hua collage, Taiwan. Professor Shmueli is understood for her examine and instructing in enterprise analytics, with a spotlight on statistical and knowledge mining equipment in details structures and healthcare. She has authored over 70 magazine articles, books, textbooks, and booklet chapters, together with info Mining for enterprise Analytics: strategies, options, and purposes in XLMiner®, 3rd variation, additionally released through Wiley.

Peter C. Bruce is President and founding father of the Institute for data schooling at www.statistics.com He has written a number of magazine articles and is the developer of Resampling Stats software program. he's the writer of Introductory facts and Analytics: A Resampling standpoint and co-author of knowledge Mining for enterprise Analytics: recommendations, suggestions, and functions in XLMiner ®, 3rd variation, either released through Wiley.

Mia Stephens is educational Ambassador at JMP®, a department of SAS Institute. sooner than becoming a member of SAS, she used to be an accessory professor of information on the collage of recent Hampshire and a founding member of the North Haven crew LLC, a statistical education and consulting corporation. She is the co-author of 3 different books, together with visible Six Sigma: Making facts research Lean, moment version, additionally released by means of Wiley.

Nitin R. Patel, PhD, is Chairman and cofounder of Cytel, Inc., dependent in Cambridge, Massachusetts. A Fellow of the yankee Statistical organization, Dr. Patel has additionally served as a vacationing Professor on the Massachusetts Institute of expertise and at Harvard college. he's a Fellow of the pc Society of India and used to be a professor on the Indian Institute of administration, Ahmedabad, for 15 years. he's co-author of information Mining for enterprise Analytics: recommendations, options, and purposes in XLMiner®, 3rd version, additionally released via Wiley.

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Data Analytics for Internal Auditors (Internal Audit and IT by Richard E. Cascarino

By Richard E. Cascarino

There are many webinars and coaching classes on facts Analytics for inner Auditors, yet no guide written from the practitioner’s perspective protecting not just the necessity and the idea, yet a pragmatic hands-on method of carrying out facts Analytics. The unfold of IT structures makes it beneficial that auditors in addition to administration manage to research excessive volumes of information and transactions to figure out styles and developments. The expanding have to regularly video display and audit IT platforms has created an relevant for the potent use of applicable info mining instruments. This booklet takes an auditor from a nil base to a capability to professionally learn company info looking anomalies.

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Using Open Data to Detect Organized Crime Threats: Factors by Henrik Legind Larsen,José María Blanco,Raquel Pastor

By Henrik Legind Larsen,José María Blanco,Raquel Pastor Pastor,Ronald R. Yager

This paintings offers an cutting edge examine using open info for extracting info to discover and forestall crime, and likewise explores the hyperlink among terrorism and arranged crime. In counter-terrorism and other kinds of crime prevention, foresight approximately power threats is very important and this data is more and more on hand through digital facts assets similar to social media communications. in spite of the fact that, the volume and caliber of those assets is diversified, and researchers and legislations enforcement desire tips approximately while and the way to extract beneficial info from them.

The emergence of those crime threats, equivalent to conversation among equipped crime networks and radicalization in the direction of terrorism, is pushed via a mixture of political, monetary, social, technological, criminal and environmental elements. The contributions to this quantity symbolize an important step by means of researchers to systematically acquire, clear out, interpret, and use the data to be had. For the needs of this ebook, the single information resources used are publicly to be had assets which are accessed legally and ethically.

This paintings should be of curiosity to researchers in criminology and felony justice, fairly in police technological know-how, prepared crime, counter-terrorism and crime technological know-how. it is going to even be of curiosity to these in comparable fields resembling functions of computing device technological know-how and knowledge mining, public coverage, and company intelligence.

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Seeing Cities Through Big Data: Research, Methods and by Piyushimita (Vonu) Thakuriah,Nebiyou Tilahun,Moira Zellner

By Piyushimita (Vonu) Thakuriah,Nebiyou Tilahun,Moira Zellner

This booklet introduces the newest pondering at the use of massive facts within the context of city structures, together with  research and insights on human habit, city dynamics, source use, sustainability and spatial disparities, the place it delivers greater making plans, administration and governance within the city sectors (e.g., transportation, power, clever towns, crime, housing, city and nearby economies, public overall healthiness, public engagement, city governance and political systems), in addition to titanic Data’s software in decision-making, and improvement of symptoms to watch monetary and social task, and for city sustainability, transparency, livability, social inclusion, place-making, accessibility and resilience.  

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