Data-Centric Business and Applications

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Publisher : Springer Nature
ISBN 13 : 3030430707
Total Pages : 789 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Data-Centric Business and Applications by : Tamara Radivilova

Download or read book Data-Centric Business and Applications written by Tamara Radivilova and published by Springer Nature. This book was released on 2020-06-20 with total page 789 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the challenges and opportunities of information/data processing and management. It also covers a range of methods, techniques and strategies for making it more efficient, approaches to increasing its usage, and ways to minimize information/data loss while improving customer satisfaction. Information and Communication Technologies (ICTs) and the Service Systems associated with them have had an enormous impact on businesses and our day-to-day lives over the past three decades, and continue to do so. This development has led to the emergence of new application areas and relevant disciplines, which in turn present new challenges and opportunities for service system usage. The book provides practical insights into various aspects of ICT technologies for service systems: Techniques for information/data processing and modeling in service systems Strategies for the provision of information/data processing and management Methods for collecting and analyzing information/data Applications, benefits, and challenges of service system implementation Solutions to increase the performance of various service systems using the latest ICT technologies

Data-Centric Business and Applications

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Publisher : Springer Nature
ISBN 13 : 3030718921
Total Pages : 452 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Data-Centric Business and Applications by : Dmytro Ageyev

Download or read book Data-Centric Business and Applications written by Dmytro Ageyev and published by Springer Nature. This book was released on 2021-06-04 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, building on the authors’ previous work, presents new communication and networking technologies, challenges and opportunities of information/data processing and transmission. It also discusses the development of more intelligent and efficient communication technologies, which are an essential part of current day-to-day life. Information and Communication Technologies (ICTs) have an enormous impact on businesses and our day-to-day lives over the past three decades and continue to do so. Modern methods of business information processing are opening exciting new opportunities for doing business on the basis of information technologies. The book contains research that spans a wide range of communication and networking technologies, including wireless sensor networks, optical and telecommunication networks, storage area networks, error-free transmission and signal processing.

Data-Centric Business and Applications

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Publisher : Springer Nature
ISBN 13 : 3031539842
Total Pages : 434 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Data-Centric Business and Applications by : Andriy Semenov

Download or read book Data-Centric Business and Applications written by Andriy Semenov and published by Springer Nature. This book was released on with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data-Centric Business and Applications

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Publisher : Springer Nature
ISBN 13 : 3031608151
Total Pages : 385 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Data-Centric Business and Applications by : Peter Štarchoň

Download or read book Data-Centric Business and Applications written by Peter Štarchoň and published by Springer Nature. This book was released on with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data-Centric Business and Applications

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Publisher : Springer
ISBN 13 : 3319941178
Total Pages : 334 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Data-Centric Business and Applications by : Natalia Kryvinska

Download or read book Data-Centric Business and Applications written by Natalia Kryvinska and published by Springer. This book was released on 2018-07-16 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses processes and procedures in information/data processing and management. The global market is becoming more and more complex with an increased availability of data and information, and as a result doing business with information is becoming more popular, with a significant impact on modern society immensely. This means that there is a growing need for a common understanding of how to create, access, use and manage business information. As such this book explores different aspects of data and information processing, including information generation, representation, structuring, organization, storage, retrieval, navigation, human factors in information systems, and the use of information. It also analyzes the challenges and opportunities of doing business with information, and presents various perspectives on business information managing.

Data-Centric Business and Applications

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Publisher : Springer Nature
ISBN 13 : 3031591313
Total Pages : 446 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Data-Centric Business and Applications by : Peter Štarchoň

Download or read book Data-Centric Business and Applications written by Peter Štarchoň and published by Springer Nature. This book was released on with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data-Centric Business and Applications

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Publisher : Springer Nature
ISBN 13 : 3030347060
Total Pages : 270 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Data-Centric Business and Applications by : Aneta Poniszewska-Marańda

Download or read book Data-Centric Business and Applications written by Aneta Poniszewska-Marańda and published by Springer Nature. This book was released on 2019-12-14 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores various aspects of software creation and development as well as data and information processing. It covers relevant topics such as business analysis, business rules, requirements engineering, software development processes, software defect prediction, information management systems, and knowledge management solutions. Lastly, the book presents lessons learned in information and data management processes and procedures.

Fundamentals of Business Intelligence

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Publisher : Springer
ISBN 13 : 3662465310
Total Pages : 361 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Fundamentals of Business Intelligence by : Wilfried Grossmann

Download or read book Fundamentals of Business Intelligence written by Wilfried Grossmann and published by Springer. This book was released on 2015-06-02 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a comprehensive and systematic introduction to transforming process-oriented data into information about the underlying business process, which is essential for all kinds of decision-making. To that end, the authors develop step-by-step models and analytical tools for obtaining high-quality data structured in such a way that complex analytical tools can be applied. The main emphasis is on process mining and data mining techniques and the combination of these methods for process-oriented data. After a general introduction to the business intelligence (BI) process and its constituent tasks in chapter 1, chapter 2 discusses different approaches to modeling in BI applications. Chapter 3 is an overview and provides details of data provisioning, including a section on big data. Chapter 4 tackles data description, visualization, and reporting. Chapter 5 introduces data mining techniques for cross-sectional data. Different techniques for the analysis of temporal data are then detailed in Chapter 6. Subsequently, chapter 7 explains techniques for the analysis of process data, followed by the introduction of analysis techniques for multiple BI perspectives in chapter 8. The book closes with a summary and discussion in chapter 9. Throughout the book, (mostly open source) tools are recommended, described and applied; a more detailed survey on tools can be found in the appendix, and a detailed code for the solutions together with instructions on how to install the software used can be found on the accompanying website. Also, all concepts presented are illustrated and selected examples and exercises are provided. The book is suitable for graduate students in computer science, and the dedicated website with examples and solutions makes the book ideal as a textbook for a first course in business intelligence in computer science or business information systems. Additionally, practitioners and industrial developers who are interested in the concepts behind business intelligence will benefit from the clear explanations and many examples.

Data Matching

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Publisher : Springer Science & Business Media
ISBN 13 : 3642311644
Total Pages : 279 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Data Matching by : Peter Christen

Download or read book Data Matching written by Peter Christen and published by Springer Science & Business Media. This book was released on 2012-07-04 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data matching (also known as record or data linkage, entity resolution, object identification, or field matching) is the task of identifying, matching and merging records that correspond to the same entities from several databases or even within one database. Based on research in various domains including applied statistics, health informatics, data mining, machine learning, artificial intelligence, database management, and digital libraries, significant advances have been achieved over the last decade in all aspects of the data matching process, especially on how to improve the accuracy of data matching, and its scalability to large databases. Peter Christen’s book is divided into three parts: Part I, “Overview”, introduces the subject by presenting several sample applications and their special challenges, as well as a general overview of a generic data matching process. Part II, “Steps of the Data Matching Process”, then details its main steps like pre-processing, indexing, field and record comparison, classification, and quality evaluation. Lastly, part III, “Further Topics”, deals with specific aspects like privacy, real-time matching, or matching unstructured data. Finally, it briefly describes the main features of many research and open source systems available today. By providing the reader with a broad range of data matching concepts and techniques and touching on all aspects of the data matching process, this book helps researchers as well as students specializing in data quality or data matching aspects to familiarize themselves with recent research advances and to identify open research challenges in the area of data matching. To this end, each chapter of the book includes a final section that provides pointers to further background and research material. Practitioners will better understand the current state of the art in data matching as well as the internal workings and limitations of current systems. Especially, they will learn that it is often not feasible to simply implement an existing off-the-shelf data matching system without substantial adaption and customization. Such practical considerations are discussed for each of the major steps in the data matching process.

Web Information Retrieval

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Publisher : Springer Science & Business Media
ISBN 13 : 3642393144
Total Pages : 287 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Web Information Retrieval by : Stefano Ceri

Download or read book Web Information Retrieval written by Stefano Ceri and published by Springer Science & Business Media. This book was released on 2013-08-30 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the proliferation of huge amounts of (heterogeneous) data on the Web, the importance of information retrieval (IR) has grown considerably over the last few years. Big players in the computer industry, such as Google, Microsoft and Yahoo!, are the primary contributors of technology for fast access to Web-based information; and searching capabilities are now integrated into most information systems, ranging from business management software and customer relationship systems to social networks and mobile phone applications. Ceri and his co-authors aim at taking their readers from the foundations of modern information retrieval to the most advanced challenges of Web IR. To this end, their book is divided into three parts. The first part addresses the principles of IR and provides a systematic and compact description of basic information retrieval techniques (including binary, vector space and probabilistic models as well as natural language search processing) before focusing on its application to the Web. Part two addresses the foundational aspects of Web IR by discussing the general architecture of search engines (with a focus on the crawling and indexing processes), describing link analysis methods (specifically Page Rank and HITS), addressing recommendation and diversification, and finally presenting advertising in search (the main source of revenues for search engines). The third and final part describes advanced aspects of Web search, each chapter providing a self-contained, up-to-date survey on current Web research directions. Topics in this part include meta-search and multi-domain search, semantic search, search in the context of multimedia data, and crowd search. The book is ideally suited to courses on information retrieval, as it covers all Web-independent foundational aspects. Its presentation is self-contained and does not require prior background knowledge. It can also be used in the context of classic courses on data management, allowing the instructor to cover both structured and unstructured data in various formats. Its classroom use is facilitated by a set of slides, which can be downloaded from www.search-computing.org.

Data Warehouse Systems

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Publisher : Springer Nature
ISBN 13 : 366265167X
Total Pages : 696 pages
Book Rating : 4.6/5 (626 download)

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Book Synopsis Data Warehouse Systems by : Alejandro Vaisman

Download or read book Data Warehouse Systems written by Alejandro Vaisman and published by Springer Nature. This book was released on 2022-08-16 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt: With this textbook, Vaisman and Zimányi deliver excellent coverage of data warehousing and business intelligence technologies ranging from the most basic principles to recent findings and applications. To this end, their work is structured into three parts. Part I describes “Fundamental Concepts” including conceptual and logical data warehouse design, as well as querying using MDX, DAX and SQL/OLAP. This part also covers data analytics using Power BI and Analysis Services. Part II details “Implementation and Deployment,” including physical design, ETL and data warehouse design methodologies. Part III covers “Advanced Topics” and it is almost completely new in this second edition. This part includes chapters with an in-depth coverage of temporal, spatial, and mobility data warehousing. Graph data warehouses are also covered in detail using Neo4j. The last chapter extensively studies big data management and the usage of Hadoop, Spark, distributed, in-memory, columnar, NoSQL and NewSQL database systems, and data lakes in the context of analytical data processing. As a key characteristic of the book, most of the topics are presented and illustrated using application tools. Specifically, a case study based on the well-known Northwind database illustrates how the concepts presented in the book can be implemented using Microsoft Analysis Services and Power BI. All chapters have been revised and updated to the latest versions of the software tools used. KPIs and Dashboards are now also developed using DAX and Power BI, and the chapter on ETL has been expanded with the implementation of ETL processes in PostgreSQL. Review questions and exercises complement each chapter to support comprehensive student learning. Supplemental material to assist instructors using this book as a course text is available online and includes electronic versions of the figures, solutions to all exercises, and a set of slides accompanying each chapter. Overall, students, practitioners and researchers alike will find this book the most comprehensive reference work on data warehouses, with key topics described in a clear and educational style. “I can only invite you to dive into the contents of the book, feeling certain that once you have completed its reading (or maybe, targeted parts of it), you will join me in expressing our gratitude to Alejandro and Esteban, for providing such a comprehensive textbook for the field of data warehousing in the first place, and for keeping it up to date with the recent developments, in this current second edition.” From the foreword by Panos Vassiliadis, University of Ioannina, Greece.

Data Warehousing and Analytics

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Publisher : Springer Nature
ISBN 13 : 3030819795
Total Pages : 642 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Data Warehousing and Analytics by : David Taniar

Download or read book Data Warehousing and Analytics written by David Taniar and published by Springer Nature. This book was released on 2022-02-04 with total page 642 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook covers all central activities of data warehousing and analytics, including transformation, preparation, aggregation, integration, and analysis. It discusses the full spectrum of the journey of data from operational/transactional databases, to data warehouses and data analytics; as well as the role that data warehousing plays in the data processing lifecycle. It also explains in detail how data warehouses may be used by data engines, such as BI tools and analytics algorithms to produce reports, dashboards, patterns, and other useful information and knowledge. The book is divided into six parts, ranging from the basics of data warehouse design (Part I - Star Schema, Part II - Snowflake and Bridge Tables, Part III - Advanced Dimensions, and Part IV - Multi-Fact and Multi-Input), to more advanced data warehousing concepts (Part V - Data Warehousing and Evolution) and data analytics (Part VI - OLAP, BI, and Analytics). This textbook approaches data warehousing from the case study angle. Each chapter presents one or more case studies to thoroughly explain the concepts and has different levels of difficulty, hence learning is incremental. In addition, every chapter has also a section on further readings which give pointers and references to research papers related to the chapter. All these features make the book ideally suited for either introductory courses on data warehousing and data analytics, or even for self-studies by professionals. The book is accompanied by a web page that includes all the used datasets and codes as well as slides and solutions to exercises.

Engineering Web Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 3540922016
Total Pages : 357 pages
Book Rating : 4.5/5 (49 download)

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Book Synopsis Engineering Web Applications by : Sven Casteleyn

Download or read book Engineering Web Applications written by Sven Casteleyn and published by Springer Science & Business Media. This book was released on 2009-07-25 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays, Web applications are almost omnipresent. The Web has become a platform not only for information delivery, but also for eCommerce systems, social networks, mobile services, and distributed learning environments. Engineering Web applications involves many intrinsic challenges due to their distributed nature, content orientation, and the requirement to make them available to a wide spectrum of users who are unknown in advance. The authors discuss these challenges in the context of well-established engineering processes, covering the whole product lifecycle from requirements engineering through design and implementation to deployment and maintenance. They stress the importance of models in Web application development, and they compare well-known Web-specific development processes like WebML, WSDM and OOHDM to traditional software development approaches like the waterfall model and the spiral model. .

Software Wasteland

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Publisher :
ISBN 13 : 9781634623162
Total Pages : 0 pages
Book Rating : 4.6/5 (231 download)

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Book Synopsis Software Wasteland by : Dave McComb

Download or read book Software Wasteland written by Dave McComb and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Know what's causing application development waste so you can turn the tide. This is the book your Systems Integrator and your Application Software vendor don't want you to read. Enterprise IT (Information Technology) is a $3.8 trillion per year industry worldwide. Most of it is waste. We've grown used to projects costing tens of millions or even billions of dollars, and routinely running over budget and schedule many times over. These overages in both time and money are almost all wasted resources. However, the waste is hard to see, after being so marbled through all the products, processes, and guiding principles. That is what this book is about. We must see, understand, and agree about the problem before we can take coordinated action to address it. The trajectory of this book is as follows: In Chapter 1, we explore how bad the current state is. The three industries that address software waste are discussed, including the legacy software industry, neo-legacy software industry, and legacy modernization industry. Examples of application waste are illustrated from both public and private sectors. In Chapter 2, we explore the economics of the software industry. Although the economic tradeoffs are changing at the speed of Moore's Law, our approaches are not keeping pace. Learn how information systems really behave in terms of actual application development. In Chapter 3 we use "root cause analysis" to reveal the real contributors to this situation, which are dependency, redundancy, complexity, and application centricity. Chapter 4 recounts the many failed attempts we've made in the past to deal with information system complexity, including relational databases, ERP systems, enterprise data modeling, service oriented architectures, and APIs, Agile, data warehouse and business intelligence, outsourcing and offshoring, cloud, Software as a Service (SaaS), data lakes, machine learning, and artificial intelligence. Chapter 5 dismantles seven fallacies that contribute to our remaining stuck. For example, the first fallacy is "We need detailed requirements or we won't get what we want." The quagmire is not affecting all sectors of the economy equally. Chapter 6 looks at how this is playing out in the government and private sectors, large and small companies, and various parts of the IT industry itself. Chapter 7 outlines some action you can take now to begin to extricate yourself, including a detailed assessment and defining metrics for measuring and preventing software development waste.

Schema Matching and Mapping

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Publisher : Springer Science & Business Media
ISBN 13 : 3642165184
Total Pages : 326 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Schema Matching and Mapping by : Zohra Bellahsene

Download or read book Schema Matching and Mapping written by Zohra Bellahsene and published by Springer Science & Business Media. This book was released on 2011-02-14 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Requiring heterogeneous information systems to cooperate and communicate has now become crucial, especially in application areas like e-business, Web-based mash-ups and the life sciences. Such cooperating systems have to automatically and efficiently match, exchange, transform and integrate large data sets from different sources and of different structure in order to enable seamless data exchange and transformation. The book edited by Bellahsene, Bonifati and Rahm provides an overview of the ways in which the schema and ontology matching and mapping tools have addressed the above requirements and points to the open technical challenges. The contributions from leading experts are structured into three parts: large-scale and knowledge-driven schema matching, quality-driven schema mapping and evolution, and evaluation and tuning of matching tasks. The authors describe the state of the art by discussing the latest achievements such as more effective methods for matching data, mapping transformation verification, adaptation to the context and size of the matching and mapping tasks, mapping-driven schema evolution and merging, and mapping evaluation and tuning. The overall result is a coherent, comprehensive picture of the field. With this book, the editors introduce graduate students and advanced professionals to this exciting field. For researchers, they provide an up-to-date source of reference about schema and ontology matching, schema and ontology evolution, and schema merging.

Data Quality

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Publisher : Springer Science & Business Media
ISBN 13 : 3540331735
Total Pages : 276 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Data Quality by : Carlo Batini

Download or read book Data Quality written by Carlo Batini and published by Springer Science & Business Media. This book was released on 2006-09-27 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Poor data quality can seriously hinder or damage the efficiency and effectiveness of organizations and businesses. The growing awareness of such repercussions has led to major public initiatives like the "Data Quality Act" in the USA and the "European 2003/98" directive of the European Parliament. Batini and Scannapieco present a comprehensive and systematic introduction to the wide set of issues related to data quality. They start with a detailed description of different data quality dimensions, like accuracy, completeness, and consistency, and their importance in different types of data, like federated data, web data, or time-dependent data, and in different data categories classified according to frequency of change, like stable, long-term, and frequently changing data. The book's extensive description of techniques and methodologies from core data quality research as well as from related fields like data mining, probability theory, statistical data analysis, and machine learning gives an excellent overview of the current state of the art. The presentation is completed by a short description and critical comparison of tools and practical methodologies, which will help readers to resolve their own quality problems. This book is an ideal combination of the soundness of theoretical foundations and the applicability of practical approaches. It is ideally suited for everyone – researchers, students, or professionals – interested in a comprehensive overview of data quality issues. In addition, it will serve as the basis for an introductory course or for self-study on this topic.

Database Design and Implementation

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Publisher : Springer Nature
ISBN 13 : 3030338363
Total Pages : 468 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Database Design and Implementation by : Edward Sciore

Download or read book Database Design and Implementation written by Edward Sciore and published by Springer Nature. This book was released on 2020-02-27 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook examines database systems from the viewpoint of a software developer. This perspective makes it possible to investigate why database systems are the way they are. It is of course important to be able to write queries, but it is equally important to know how they are processed. We e.g. don’t want to just use JDBC; we also want to know why the API contains the classes and methods that it does. We need a sense of how hard is it to write a disk cache or logging facility. And what exactly is a database driver, anyway? The first two chapters provide a brief overview of database systems and their use. Chapter 1 discusses the purpose and features of a database system and introduces the Derby and SimpleDB systems. Chapter 2 explains how to write a database application using Java. It presents the basics of JDBC, which is the fundamental API for Java programs that interact with a database. In turn, Chapters 3-11 examine the internals of a typical database engine. Each chapter covers a different database component, starting with the lowest level of abstraction (the disk and file manager) and ending with the highest (the JDBC client interface); further, the respective chapter explains the main issues concerning the component, and considers possible design decisions. As a result, the reader can see exactly what services each component provides and how it interacts with the other components in the system. By the end of this part, s/he will have witnessed the gradual development of a simple but completely functional system. The remaining four chapters then focus on efficient query processing, and focus on the sophisticated techniques and algorithms that can replace the simple design choices described earlier. Topics include indexing, sorting, intelligent buffer usage, and query optimization. This text is intended for upper-level undergraduate or beginning graduate courses in Computer Science. It assumes that the reader is comfortable with basic Java programming; advanced Java concepts (such as RMI and JDBC) are fully explained in the text. The respective chapters are complemented by “end-of-chapter readings” that discuss interesting ideas and research directions that went unmentioned in the text, and provide references to relevant web pages, research articles, reference manuals, and books. Conceptual and programming exercises are also included at the end of each chapter. Students can apply their conceptual knowledge by examining the SimpleDB (a simple but fully functional database system created by the author and provided online) code and modifying it.