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Creating Datasets For Testing Relational Databases
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Book Synopsis A Tester's Guide to .NET Programming by : Joe Sweeney
Download or read book A Tester's Guide to .NET Programming written by Joe Sweeney and published by Apress. This book was released on 2006-11-21 with total page 622 pages. Available in PDF, EPUB and Kindle. Book excerpt: *Unlike its competitors, focuses solely on applied programming techniques for testers *Will appeal to both developers and testers alike; already popularized in classrooms worldwide for three years *Testing market is growing as more business adopt .NET technologies
Book Synopsis The Microsoft Data Warehouse Toolkit by : Joy Mundy
Download or read book The Microsoft Data Warehouse Toolkit written by Joy Mundy and published by John Wiley & Sons. This book was released on 2007-03-22 with total page 795 pages. Available in PDF, EPUB and Kindle. Book excerpt: This groundbreaking book is the first in the Kimball Toolkit series to be product-specific. Microsoft’s BI toolset has undergone significant changes in the SQL Server 2005 development cycle. SQL Server 2005 is the first viable, full-functioned data warehouse and business intelligence platform to be offered at a price that will make data warehousing and business intelligence available to a broad set of organizations. This book is meant to offer practical techniques to guide those organizations through the myriad of challenges to true success as measured by contribution to business value. Building a data warehousing and business intelligence system is a complex business and engineering effort. While there are significant technical challenges to overcome in successfully deploying a data warehouse, the authors find that the most common reason for data warehouse project failure is insufficient focus on the business users and business problems. In an effort to help people gain success, this book takes the proven Business Dimensional Lifecycle approach first described in best selling The Data Warehouse Lifecycle Toolkit and applies it to the Microsoft SQL Server 2005 tool set. Beginning with a thorough description of how to gather business requirements, the book then works through the details of creating the target dimensional model, setting up the data warehouse infrastructure, creating the relational atomic database, creating the analysis services databases, designing and building the standard report set, implementing security, dealing with metadata, managing ongoing maintenance and growing the DW/BI system. All of these steps tie back to the business requirements. Each chapter describes the practical steps in the context of the SQL Server 2005 platform. Intended Audience The target audience for this book is the IT department or service provider (consultant) who is: Planning a small to mid-range data warehouse project; Evaluating or planning to use Microsoft technologies as the primary or exclusive data warehouse server technology; Familiar with the general concepts of data warehousing and business intelligence. The book will be directed primarily at the project leader and the warehouse developers, although everyone involved with a data warehouse project will find the book useful. Some of the book’s content will be more technical than the typical project leader will need; other chapters and sections will focus on business issues that are interesting to a database administrator or programmer as guiding information. The book is focused on the mass market, where the volume of data in a single application or data mart is less than 500 GB of raw data. While the book does discuss issues around handling larger warehouses in the Microsoft environment, it is not exclusively, or even primarily, concerned with the unusual challenges of extremely large datasets. About the Authors JOY MUNDY has focused on data warehousing and business intelligence since the early 1990s, specializing in business requirements analysis, dimensional modeling, and business intelligence systems architecture. Joy co-founded InfoDynamics LLC, a data warehouse consulting firm, then joined Microsoft WebTV to develop closed-loop analytic applications and a packaged data warehouse. Before returning to consulting with the Kimball Group in 2004, Joy worked in Microsoft SQL Server product development, managing a team that developed the best practices for building business intelligence systems on the Microsoft platform. Joy began her career as a business analyst in banking and finance. She graduated from Tufts University with a BA in Economics, and from Stanford with an MS in Engineering Economic Systems. WARREN THORNTHWAITE has been building data warehousing and business intelligence systems since 1980. Warren worked at Metaphor for eight years, where he managed the consulting organization and implemented many major data warehouse systems. After Metaphor, Warren managed the enterprise-wide data warehouse development at Stanford University. He then co-founded InfoDynamics LLC, a data warehouse consulting firm, with his co-author, Joy Mundy. Warren joined up with WebTV to help build a world class, multi-terabyte customer focused data warehouse before returning to consulting with the Kimball Group. In addition to designing data warehouses for a range of industries, Warren speaks at major industry conferences and for leading vendors, and is a long-time instructor for Kimball University. Warren holds an MBA in Decision Sciences from the University of Pennsylvania's Wharton School, and a BA in Communications Studies from the University of Michigan. RALPH KIMBALL, PH.D., has been a leading visionary in the data warehouse industry since 1982 and is one of today's most internationally well-known authors, speakers, consultants, and teachers on data warehousing. He writes the "Data Warehouse Architect" column for Intelligent Enterprise (formerly DBMS) magazine.
Book Synopsis Enterprise Information Systems II by : B. Sharp
Download or read book Enterprise Information Systems II written by B. Sharp and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises the refereed papers together with the invited keynote papers, presented at the Second International Conference on Enterprise Information Systems. The conference was organised by the School of Computing at Staffordshire University, UK, and the Escola Superior de Tecnologia of Setubal, Portugal, in cooperation with the British Computer Society and the International Federation for Information Processing, Working Group 8.1. The purpose of this 2nd International Conference was to bring together researchers, engineers and practitioners interested in the advances in and business applications of information systems. The papers demonstrate the vitality and vibrancy of the field of Enterprise Information Systems. The research papers included here were selected from among 143 submissions from 32 countries in the following four areas: Enterprise Database Applications, Artificial Intelligence Applications and Decision Support Systems, Systems Analysis and Specification, and Internet and Electronic Commerce. Every paper had at least two reVIewers drawn from 10 countries. The papers included in this book were recommended by the reviewers. On behalf of the conference organising committee we would like to thank all the members of the Programme Committee for their work in reviewing and selecting the papers that appear in this volume. We would also like to thank all the authors who have submitted their papers to this conference, and would like to apologise to the authors that we were unable to include and wish them success next year.
Book Synopsis The Data Warehouse Lifecycle Toolkit by : Ralph Kimball
Download or read book The Data Warehouse Lifecycle Toolkit written by Ralph Kimball and published by John Wiley & Sons. This book was released on 2011-03-08 with total page 674 pages. Available in PDF, EPUB and Kindle. Book excerpt: A thorough update to the industry standard for designing, developing, and deploying data warehouse and business intelligence systems The world of data warehousing has changed remarkably since the first edition of The Data Warehouse Lifecycle Toolkit was published in 1998. In that time, the data warehouse industry has reached full maturity and acceptance, hardware and software have made staggering advances, and the techniques promoted in the premiere edition of this book have been adopted by nearly all data warehouse vendors and practitioners. In addition, the term "business intelligence" emerged to reflect the mission of the data warehouse: wrangling the data out of source systems, cleaning it, and delivering it to add value to the business. Ralph Kimball and his colleagues have refined the original set of Lifecycle methods and techniques based on their consulting and training experience. The authors understand first-hand that a data warehousing/business intelligence (DW/BI) system needs to change as fast as its surrounding organization evolves. To that end, they walk you through the detailed steps of designing, developing, and deploying a DW/BI system. You'll learn to create adaptable systems that deliver data and analyses to business users so they can make better business decisions.
Book Synopsis Privacy in Statistical Databases by : Josep Domingo-Ferrer
Download or read book Privacy in Statistical Databases written by Josep Domingo-Ferrer and published by Springer Nature. This book was released on with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis .NET Programming by : A. Russell Jones
Download or read book .NET Programming written by A. Russell Jones and published by John Wiley & Sons. This book was released on 2006-02-20 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you're an experienced programmer finding your way with .NET, then this book is for you. If your .NET skills are already solid, then this book is still for you. These ten-minute solutions fill the gaps in your knowledge: from them, you'll learn a lot about the realities of programming with .NET technologies, whether you're writing database applications, web applications, or desktop applications. But they're also solutions to the problems you're most likely to encounter in each of these areas. Particularly when a project entails new techniques or draws you into a realm outside your expertise, you need quick and reliable answers. Here, a couple of veterans provide them. Based on the popular question-and-answer feature of the DevX website, all are in-depth, code-intensive solutions that explain both the how and the why, helping you past immediate obstacles and ultimately making you a more knowledgeable programmer. Here are some of the solutions you'll find inside: The new ListBox control's data model: how it differs, how to work with it, why it's better The new I/O model: storing and retrieving complete objects with streams Launching and monitoring external programs from VB.NET applications: the Process class and how it improves on classic VB Shell command ADO.NET support for keeping calculated columns up to date automatically Moving data between distributed tiers—and keeping it synchronized—using DiffGrams Solutions are organized into three categories: general .NET topics that cut across category boundaries, problems that arise when you're building Windows forms, and issues associated specifically with ADO.NET and ASP.NET programming chores. The book contains VB.NET code examples for every solution.
Book Synopsis Database Systems for Advanced Applications by : Arnab Bhattacharya
Download or read book Database Systems for Advanced Applications written by Arnab Bhattacharya and published by Springer Nature. This book was released on 2022-04-22 with total page 577 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume set LNCS 13245, 13246 and 13247 constitutes the proceedings of the 26th International Conference on Database Systems for Advanced Applications, DASFAA 2022, held online, in April 2021. The total of 72 full papers, along with 76 short papers, are presented in this three-volume set was carefully reviewed and selected from 543 submissions. Additionally, 13 industrial papers, 9 demo papers and 2 PhD consortium papers are included. The conference was planned to take place in Hyderabad, India, but it was held virtually due to the COVID-19 pandemic.
Book Synopsis Data Just Right by : Michael Manoochehri
Download or read book Data Just Right written by Michael Manoochehri and published by Pearson Education. This book was released on 2014 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: Making Big Data Work: Real-World Use Cases and Examples, Practical Code, Detailed Solutions Large-scale data analysis is now vitally important to virtually every business. Mobile and social technologies are generating massive datasets; distributed cloud computing offers the resources to store and analyze them; and professionals have radically new technologies at their command, including NoSQL databases. Until now, however, most books on "Big Data" have been little more than business polemics or product catalogs. Data Just Right is different: It's a completely practical and indispensable guide for every Big Data decision-maker, implementer, and strategist. Michael Manoochehri, a former Google engineer and data hacker, writes for professionals who need practical solutions that can be implemented with limited resources and time. Drawing on his extensive experience, he helps you focus on building applications, rather than infrastructure, because that's where you can derive the most value. Manoochehri shows how to address each of today's key Big Data use cases in a cost-effective way by combining technologies in hybrid solutions. You'll find expert approaches to managing massive datasets, visualizing data, building data pipelines and dashboards, choosing tools for statistical analysis, and more. Throughout, the author demonstrates techniques using many of today's leading data analysis tools, including Hadoop, Hive, Shark, R, Apache Pig, Mahout, and Google BigQuery. Coverage includes Mastering the four guiding principles of Big Data success--and avoiding common pitfalls Emphasizing collaboration and avoiding problems with siloed data Hosting and sharing multi-terabyte datasets efficiently and economically "Building for infinity" to support rapid growth Developing a NoSQL Web app with Redis to collect crowd-sourced data Running distributed queries over massive datasets with Hadoop, Hive, and Shark Building a data dashboard with Google BigQuery Exploring large datasets with advanced visualization Implementing efficient pipelines for transforming immense amounts of data Automating complex processing with Apache Pig and the Cascading Java library Applying machine learning to classify, recommend, and predict incoming information Using R to perform statistical analysis on massive datasets Building highly efficient analytics workflows with Python and Pandas Establishing sensible purchasing strategies: when to build, buy, or outsource Previewing emerging trends and convergences in scalable data technologies and the evolving role of the Data Scientist
Book Synopsis R for Data Science by : Hadley Wickham
Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Book Synopsis The Semantic Web: Research and Applications by : Grigoris Antoniou
Download or read book The Semantic Web: Research and Applications written by Grigoris Antoniou and published by Springer. This book was released on 2011-06-11 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: The books (LNCS 6643 and 6644) constitute the refereed proceedings of the 8th European Semantic Web Conference, ESWC 2011, held in Heraklion, Crete, Greece, in May/June 2011. The 57 revised full papers of the research track presented together with 7 PhD symposium papers and 14 demo papers were carefully reviewed and selected from 291 submissions. The papers are organized in topical sections on digital libraries track; inductive and probabilistic approaches track; linked open data track; mobile web track; natural language processing track; ontologies track; and reasoning track (part I); semantic data management track; semantic web in use track; sensor web track; software, services, processes and cloud computing track; social web and web science track; demo track, PhD symposium (part II).
Book Synopsis Sharing Big Data Safely by : Ted Dunning
Download or read book Sharing Big Data Safely written by Ted Dunning and published by "O'Reilly Media, Inc.". This book was released on 2015-09-15 with total page 97 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many big data-driven companies today are moving to protect certain types of data against intrusion, leaks, or unauthorized eyes. But how do you lock down data while granting access to people who need to see it? In this practical book, authors Ted Dunning and Ellen Friedman offer two novel and practical solutions that you can implement right away. Ideal for both technical and non-technical decision makers, group leaders, developers, and data scientists, this book shows you how to: Share original data in a controlled way so that different groups within your organization only see part of the whole. You’ll learn how to do this with the new open source SQL query engine Apache Drill. Provide synthetic data that emulates the behavior of sensitive data. This approach enables external advisors to work with you on projects involving data that you can't show them. If you’re intrigued by the synthetic data solution, explore the log-synth program that Ted Dunning developed as open source code (available on GitHub), along with how-to instructions and tips for best practice. You’ll also get a collection of use cases. Providing lock-down security while safely sharing data is a significant challenge for a growing number of organizations. With this book, you’ll discover new options to share data safely without sacrificing security.
Book Synopsis Database and Expert Systems Applications by : Sven Hartmann
Download or read book Database and Expert Systems Applications written by Sven Hartmann and published by Springer. This book was released on 2019-08-19 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set of LNCS 11706 and LNCS 11707 constitutes the refereed proceedings of the 30th International Conference on Database and Expert Systems Applications, DEXA 2019, held in Linz, Austria, in August 2019. The 32 full papers presented together with 34 short papers were carefully reviewed and selected from 157 submissions. The papers are organized in the following topical sections: Part I: Big data management and analytics; data structures and data management; management and processing of knowledge; authenticity, privacy, security and trust; consistency, integrity, quality of data; decision support systems; data mining and warehousing. Part II: Distributed, parallel, P2P, grid and cloud databases; information retrieval; Semantic Web and ontologies; information processing; temporal, spatial, and high dimensional databases; knowledge discovery; web services.
Book Synopsis Performance Evaluation and Benchmarking for the Era of Artificial Intelligence by : Raghunath Nambiar
Download or read book Performance Evaluation and Benchmarking for the Era of Artificial Intelligence written by Raghunath Nambiar and published by Springer. This book was released on 2019-01-29 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 10th TPC Technology Conference on Performance Evaluation and Benchmarking, TPCTC 2018, held in conjunction with the 44th International Conference on Very Large Databases (VLDB 2018) in August 2018. The 10 papers presented were carefully reviewed and selected from numerous submissions. The TPC encourages researchers and industry experts to present and debate novel ideas and methodologies in performance evaluation, measurement, and characterization.
Book Synopsis The SAGE Handbook of Online Research Methods by : Nigel G Fielding
Download or read book The SAGE Handbook of Online Research Methods written by Nigel G Fielding and published by SAGE. This book was released on 2008-06-24 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook is the first to provide comprehensive, up-to-the-minute coverage of contemporary and developing Internet and online social research methods, spanning both quantitative and qualitative research applications. The editors have brought together leading names in the field of online research to give a thoroughly up to date, practical coverage, richly illustrated with examples. The chapters cover both methodological and procedural themes, offering readers a sophisticated treatment of the practice and uses of Internet and online research that is grounded in the principles of research methodology. Beginning with an examination of the significance of the Internet as a research medium, the book goes on to cover research design, data capture, online surveys, virtual ethnography, and the internet as an archival resource, and concludes by looking at potential directions for the future of Internet and online research. The SAGE Handbook of Internet and Online Research Methods will be welcomed by anyone interested in the contemporary practice of computer-mediated research and scholarship. Postgraduates, researchers and methodologists from disciplines across the social sciences will find this an invaluable source of reference.
Book Synopsis Python and HDF5 by : Andrew Collette
Download or read book Python and HDF5 written by Andrew Collette and published by "O'Reilly Media, Inc.". This book was released on 2013-10-21 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gain hands-on experience with HDF5 for storing scientific data in Python. This practical guide quickly gets you up to speed on the details, best practices, and pitfalls of using HDF5 to archive and share numerical datasets ranging in size from gigabytes to terabytes. Through real-world examples and practical exercises, you’ll explore topics such as scientific datasets, hierarchically organized groups, user-defined metadata, and interoperable files. Examples are applicable for users of both Python 2 and Python 3. If you’re familiar with the basics of Python data analysis, this is an ideal introduction to HDF5. Get set up with HDF5 tools and create your first HDF5 file Work with datasets by learning the HDF5 Dataset object Understand advanced features like dataset chunking and compression Learn how to work with HDF5’s hierarchical structure, using groups Create self-describing files by adding metadata with HDF5 attributes Take advantage of HDF5’s type system to create interoperable files Express relationships among data with references, named types, and dimension scales Discover how Python mechanisms for writing parallel code interact with HDF5
Book Synopsis Form, Meaning and Function in Collocation by : Haoda Feng
Download or read book Form, Meaning and Function in Collocation written by Haoda Feng and published by Routledge. This book was released on 2020-04-03 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: The issue of differences between translational language and native-speaker language has become a topic of increasing interest in linguistics and Translation Studies (TS). One of the primary tasks in this research area is to employ a corpus approach and analyse collocations with authentic language data by comparing comparable corpora consisting of translated and native-speaker texts. Collocation in linguistics and TS refers to the relationship of co-occurrence between lexical items. The book shows that examining the use of collocations constitutes an integral part in assessing the naturalness of second language (L2) use, and therefore can be a valid measure to make a distinction between translational language and native-speaker language. Nevertheless, the role of collocation has not been given enough attention or discussed systematically in TS and, to date, there are hardly any translation theorists who have clarified the mechanism of collocation in TS, by which translators acquire receptive and productive knowledge of collocations in their L2. In addition, previous research in this area is largely confined to Indo-European languages, resulting in a lack of empirical evidence involving Asian languages. This book therefore attempts to bridge the gap in the literature and constitute an integral part in the research area.
Book Synopsis Advances in Spatial and Temporal Databases by : Christian S. Jensen
Download or read book Advances in Spatial and Temporal Databases written by Christian S. Jensen and published by Springer. This book was released on 2003-05-15 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Seventh International Symposium on Spatial and Temporal Databases (SSTD 2001), held in Redondo Beach, CA, USA, July 12{15, 2001, brought together leading researchers and developers in the area of spatial, temporal, and spatio-temporal databases to discuss the state of the art in spatial and temporal data management and applications, and to understand the challenges and - search directions in the advancing area of data management for moving objects. The symposium served as a forum for disseminating research in spatial and temporal data management, and for maximizing the interchange of knowledge among researchers from the established spatial and temporal database com- nities. The exchange of research ideas and results not only contributes to the academic arena, but also bene ts the user and commercial communities. SSTD 2001 was the seventh in the series of symposia that started in Santa Barbara a dozen years ago and has since been held every two years, in Zurich, Singapore, Portland (Maine), Berlin, and Hong Kong. By 1999, the series had become well established as the premier international forum devoted solely to spatial database management, and it was decided to extend the scope of the series to also cover temporal database management. This extended scope was chosen due, in part, to the increasing importance of research that considers spatial and temporal aspects jointly.
