Download or read book Testing the Data Warehouse Practicum written by Doug Vucevic and published by Trafford Publishing. This book was released on 2012-08-22 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: The quality of a data warehouse (DWH) is the elusive aspect of it, not because it is hard to achieve [once we agree what it is], but because it is difficult to describe. We propose the notion that quality is not an attribute or a feature that a product has to possess, but rather a relationship between that product and each and every stakeholder. More specifically, the relationship between the software quality and the organization that produces the products is explored. Quality of data that populates the DWH is the main concern of the book, therefore we propose a definition for data quality as: fitness to serve each and every purpose. Methods are proposed throughout the book to help readers achieve data warehouse quality.
Download or read book Testing the Data Warehouse Practicum written by Wayne Yaddow Doug Vucevic & and published by Trafford Publishing. This book was released on 2012-08 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: The quality of a data warehouse (DWH) is the elusive aspect of it, not because it is hard to achieve [once we agree what it is], but because it is difficult to describe. We propose the notion that quality is not an attribute or a feature that a product has to possess, but rather a relationship between that product and each and every stakeholder. More specifically, the relationship between the software quality and the organization that produces the products is explored. Quality of data that populates the DWH is the main concern of the book, therefore we propose a definition for data quality as: "fitness to serve each and every purpose". Methods are proposed throughout the book to help readers achieve data warehouse quality.
Download or read book Automated Data Warehouse Testing written by G. Suden and published by Createspace Independent Publishing Platform. This book was released on 2015-03-13 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automated Data Warehousing Testing is a beginner's step by step guide for novice to intermediate level testers who want to try their hands at automated testing. It provides step by step instructions for setting up the Automation Framework from scratch. The framework is quite generic and as such can be applied to most data warehousing projects. This book concentrates on the 'practical side' of automated testing rather than the 'theoretical side'. It includes complete listings of the automated code for a sample data warehouse that is set up for testing. The code listings explain the logic for the individual tests and generic functions. The book covers: An overview of the data warehouse architecture and modelling. Set up the environment for automation. Software used is open source and freeware. Set up the Automation Framework from scratch and add important features to it like logging information to console and files. Set up the sample data warehouse for automation including the source systems and staging area. Automate the testing of staging area, dimension and fact tables. Automate the testing of CSV and Microsoft Excel data sources. Generate HTML reports of the test results. Automate Data Profiling tests.
Download or read book Testing Data Vault based Data Warehouse written by Connard N. Williams and published by . This book was released on 2015 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt: Author's abstract: Data warehouse (DW) projects are undertakings that require integration of disparate sources of data, a well-defined mapping of the source data to the reconciled data, and effective Extract, Transform, and Load (ETL) processes. Owing to the complexity of data warehouse projects, great emphasis must be placed on an agile-based approach with properly developed and executed test plans throughout the various stages of designing, developing, and implementing the data warehouse to mitigate against budget overruns, missed deadlines, low customer satisfaction, and outright project failures. Yet, there are often attempts to test the data warehouse exactly like traditional back-end databases and legacy applications, or to downplay the role of quality assurance (QA) and testing, which only serve to fuel the frustration and mistrust of data warehouse and business intelligence (BI) systems. In spite of this, there are a number of steps that can be taken to ensure DW/BI solutions are successful, highly trusted, and stable. In particular, adopting a Data Vault (DV)-based Enterprise Data Warehouse (EDW) can simplify and enhance various aspects of testing, and curtail delays common in non-DV based DW projects. A major area of focus in this research is raw DV loads from source systems, keeping transformations to a minimum in the ETL process which loads the DV from the source. Certain load errors, classified as permissible errors and enforced by business rules, are kept in the Data Vault until correct values are supplied. Major transformation activities are pushed further downstream to the next ETL process which loads and refreshes the Data Mart (DM) from the Data Vault.
Download or read book The Methodology Base of Data Warehouse Testing written by Pavol Tanusǩa and published by . This book was released on 2008 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Handbook of Research on E Assessment in Higher Education written by Azevedo, Ana and published by IGI Global. This book was released on 2018-09-14 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: E-assessments of students profoundly influence their motivation and play a key role in the educational process. Adapting assessment techniques to current technological advancements allows for effective pedagogical practices, learning processes, and student engagement. The Handbook of Research on E-Assessment in Higher Education provides emerging perspectives on the theoretical and practical aspects of digital assessment techniques and applications within educational settings. Featuring coverage on a broad range of topics such as competency assessment, adaptive courseware, and learning performance, this publication is ideally designed for educational administrators, educational professionals, teachers and professors, researchers, and graduate-level students seeking current research on comparative studies and the pedagogical issues of online assessment in academic institutions.
Download or read book Interpretable Machine Learning with Python written by Serg Masís and published by Packt Publishing Ltd. This book was released on 2021-03-26 with total page 737 pages. Available in PDF, EPUB and Kindle. Book excerpt: A deep and detailed dive into the key aspects and challenges of machine learning interpretability, complete with the know-how on how to overcome and leverage them to build fairer, safer, and more reliable models Key Features Learn how to extract easy-to-understand insights from any machine learning model Become well-versed with interpretability techniques to build fairer, safer, and more reliable models Mitigate risks in AI systems before they have broader implications by learning how to debug black-box models Book DescriptionDo you want to gain a deeper understanding of your models and better mitigate poor prediction risks associated with machine learning interpretation? If so, then Interpretable Machine Learning with Python deserves a place on your bookshelf. We’ll be starting off with the fundamentals of interpretability, its relevance in business, and exploring its key aspects and challenges. As you progress through the chapters, you'll then focus on how white-box models work, compare them to black-box and glass-box models, and examine their trade-off. You’ll also get you up to speed with a vast array of interpretation methods, also known as Explainable AI (XAI) methods, and how to apply them to different use cases, be it for classification or regression, for tabular, time-series, image or text. In addition to the step-by-step code, this book will also help you interpret model outcomes using examples. You’ll get hands-on with tuning models and training data for interpretability by reducing complexity, mitigating bias, placing guardrails, and enhancing reliability. The methods you’ll explore here range from state-of-the-art feature selection and dataset debiasing methods to monotonic constraints and adversarial retraining. By the end of this book, you'll be able to understand ML models better and enhance them through interpretability tuning. What you will learn Recognize the importance of interpretability in business Study models that are intrinsically interpretable such as linear models, decision trees, and Naïve Bayes Become well-versed in interpreting models with model-agnostic methods Visualize how an image classifier works and what it learns Understand how to mitigate the influence of bias in datasets Discover how to make models more reliable with adversarial robustness Use monotonic constraints to make fairer and safer models Who this book is for This book is primarily written for data scientists, machine learning developers, and data stewards who find themselves under increasing pressures to explain the workings of AI systems, their impacts on decision making, and how they identify and manage bias. It’s also a useful resource for self-taught ML enthusiasts and beginners who want to go deeper into the subject matter, though a solid grasp on the Python programming language and ML fundamentals is needed to follow along.
Download or read book Big Data Management written by Peter Ghavami and published by Walter de Gruyter GmbH & Co KG. This book was released on 2020-11-09 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data analytics is core to business and decision making. The rapid increase in data volume, velocity and variety offers both opportunities and challenges. While open source solutions to store big data, like Hadoop, offer platforms for exploring value and insight from big data, they were not originally developed with data security and governance in mind. Big Data Management discusses numerous policies, strategies and recipes for managing big data. It addresses data security, privacy, controls and life cycle management offering modern principles and open source architectures for successful governance of big data. The author has collected best practices from the world’s leading organizations that have successfully implemented big data platforms. The topics discussed cover the entire data management life cycle, data quality, data stewardship, regulatory considerations, data council, architectural and operational models are presented for successful management of big data. The book is a must-read for data scientists, data engineers and corporate leaders who are implementing big data platforms in their organizations.
Download or read book The Data Warehouse ETL Toolkit written by Ralph Kimball and published by John Wiley & Sons. This book was released on 2011-04-27 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cowritten by Ralph Kimball, the world's leading data warehousing authority, whose previous books have sold more than 150,000 copies Delivers real-world solutions for the most time- and labor-intensive portion of data warehousing-data staging, or the extract, transform, load (ETL) process Delineates best practices for extracting data from scattered sources, removing redundant and inaccurate data, transforming the remaining data into correctly formatted data structures, and then loading the end product into the data warehouse Offers proven time-saving ETL techniques, comprehensive guidance on building dimensional structures, and crucial advice on ensuring data quality
Download or read book Educating the Reflective Practitioner written by Donald A. Schon and published by Jossey-Bass. This book was released on 1987-01-27 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building on the concepts of professional competence that he introduced in his classic The Reflective Practitioner, Schon offers an approach for educating professional in all areas that will prepare them to handle the complex and unpredictable problems of actual practice with confidence, skill, and care.
Download or read book Resources in Education written by and published by . This book was released on 1997 with total page 1144 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Marketing Management written by Philip Kotler and published by Prentice Hall. This book was released on 2001 with total page 808 pages. Available in PDF, EPUB and Kindle. Book excerpt: Appropriate for graduate and undergraduate courses in Marketing Management. An international marketing classic, the tenth edition of Marketing Management highlights the most current trends and developments in global marketing from a Canadian perspective. The text prepares students for a decision-making role in organizations through the managerial orientation of its approach. All the concepts and tools for analyzing any market and/or environment are covered, as well as the principles for measuring and forecasting marketing, and techniques used for marketing segmentation, targeting, and positioning. Key themes developed in the tenth edition include Marketing for the 21st Century (looking to the future; trends in marketing and business; changes in the marketplace); E-commerce and the Internet (uses of technology; marketing on the web; using the web); Customer-driven marketing (focus on the customer: customer lifetime value, customer retention, delivering superior value, customer satisfaction); and Marketing around the globe (trends, problems in global marketing).
Download or read book Building a Data Warehouse written by Vincent Rainardi and published by Apress. This book was released on 2008-03-11 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here is the ideal field guide for data warehousing implementation. This book first teaches you how to build a data warehouse, including defining the architecture, understanding the methodology, gathering the requirements, designing the data models, and creating the databases. Coverage then explains how to populate the data warehouse and explores how to present data to users using reports and multidimensional databases and how to use the data in the data warehouse for business intelligence, customer relationship management, and other purposes. It also details testing and how to administer data warehouse operation.
Download or read book Bibliography of Agriculture written by and published by . This book was released on 1976 with total page 2258 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Diagnosis and Treatment Planning Skills written by Alan M. Schwitzer and published by SAGE Publications. This book was released on 2014-05-29 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Second Edition of Alan M. Schwitzer and Lawrence C. Rubin’s Diagnosis and Treatment Planning Skills: A Popular Culture Casebook Approach comprehensively addresses the clinical thinking skills required in professional counseling settings through the innovative use of case examples drawn from popular culture. Fully revised to include DSM-5, the text begins with discussion of diagnosis, case conceptualization, and treatment planning, covering the interplay of individual clinical tools and their application in contemporary practice. Ten DSM-5 updated case illustrations follow, creating a streamlined new edition that engages students in a start-to-finish application of clinical tools.
Download or read book eBusiness eCommerce written by Andreas Meier and published by Springer Science & Business Media. This book was released on 2009-03-26 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook focuses on the members of the digital value chain of eBusiness and eCommerce and dedicates a separate chapter to each member part: eProducts & eServices, eProcurement, eMarketing, eContracting, eDistribution, ePayment, as well as eCustomer Relationship Management. In addition to business models and business webs, digital procurement and marketing processes are likewise addressed such as electronic negotiation processes, security questions with digital signatures, as well as electronic supplier relationship management and customer relationship management. The topics are described based on explicit procedures and descriptive examples of application. The gradual set-up of an electronic Webshop for DVD’s serves as a continuous case study. The book is directed towards students of economics at universities and technical colleges; it is also suitable for executives, project leaders, and company experts who deal with the digital value chain.
Download or read book How to Break Web Software written by Mike Andrews and published by Addison-Wesley Professional. This book was released on 2006-02-02 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rigorously test and improve the security of all your Web software! It’s as certain as death and taxes: hackers will mercilessly attack your Web sites, applications, and services. If you’re vulnerable, you’d better discover these attacks yourself, before the black hats do. Now, there’s a definitive, hands-on guide to security-testing any Web-based software: How to Break Web Software. In this book, two renowned experts address every category of Web software exploit: attacks on clients, servers, state, user inputs, and more. You’ll master powerful attack tools and techniques as you uncover dozens of crucial, widely exploited flaws in Web architecture and coding. The authors reveal where to look for potential threats and attack vectors, how to rigorously test for each of them, and how to mitigate the problems you find. Coverage includes · Client vulnerabilities, including attacks on client-side validation · State-based attacks: hidden fields, CGI parameters, cookie poisoning, URL jumping, and session hijacking · Attacks on user-supplied inputs: cross-site scripting, SQL injection, and directory traversal · Language- and technology-based attacks: buffer overflows, canonicalization, and NULL string attacks · Server attacks: SQL Injection with stored procedures, command injection, and server fingerprinting · Cryptography, privacy, and attacks on Web services Your Web software is mission-critical–it can’t be compromised. Whether you’re a developer, tester, QA specialist, or IT manager, this book will help you protect that software–systematically.
