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455 results for "data modeling"
Data Modeling Assignments: 2019 By Frank Krzystofiak
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Problems Assignments and Exercises for Data Modeling: 2019.
Data Mining With Linear Models By Patricia Cerrito
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This is the textbook used for CECS 694, Data Mining with Linear Models. It also includes all material for the Introduction to Data Analysis Course.
Data Modeling: 2020 By Frank Krzystofiak
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All managerial activities revolve around decision-making. One of the hallmarks of successful management in a complex and rapidly changing environment is the ability to recognize decision situations,... More > understand their essential features, and obtain insight that makes clear what the appropriate actions are. Some successful managers seem to have an innate ability to do this. Many consider decision making as an art; something learned by trial and error; something based on creativity, judgment, intuition, and experience rather than anything based on a set of systematic methods. This course provides a structured way of attacking a wide range of real problems, using data-driven analysis to guide decision-making. We will consider how you can think about and manage uncertainty and risk, how to translate data about the business into useful insights, how to put value on various courses of action, and how to generally make informed decisions.< Less
Data Modeling mini: 2020 By Frank Krzystofiak & Dianna Cichocki
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All managerial activities revolve around decision-making. One of the hallmarks of successful management in a complex and rapidly changing environment is the ability to recognize decision situations,... More > understand their essential features, and obtain insight that makes clear what the appropriate actions are. Some successful managers seem to have an innate ability to do this. Many consider decision making as an art; something learned by trial and error; something based on creativity, judgment, intuition, and experience rather than anything based on a set of systematic methods. This course provides a structured way of attacking a wide range of real problems, using data-driven analysis to guide decision-making. We will consider how you can think about and manage uncertainty and risk, how to translate data about the business into useful insights, how to put value on various courses of action, and how to generally make informed decisions.< Less
Data Modeling With Nosql Database By Ajit Singh
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This book aims to fill this knowledge gap by studying the available non-relational databases in order to develop a systematic approach for solving problems of data persistence using these... More > technologies. A benchmarking framework was introduced in order to address the performance of NoSQL databases as well as their scalability and elasticity properties. A core set of benchmarks was defined and results are reported for three widely used systems: Cassandra, Riak and a simple sharded MySQL implementation which serves as a baseline. This book provides a simple methodology for modeling data in a non-relational database, as well as a set of common design patterns. This book mainly focused on both Cassandra and Riak.< Less
Data Modeling With Nosql Database By Ajit Singh & Sultan Ahmad
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This book aims to fill this knowledge gap by studying the available non-relational databases in order to develop a systematic approach for solving problems of data persistence using these... More > technologies. A benchmarking framework was introduced in order to address the performance of NoSQL databases as well as their scalability and elasticity properties. A core set of benchmarks was defined and results are reported for three widely used systems: Cassandra, Riak and a simple sharded MySQL implementation which serves as a baseline. This book provides a simple methodology for modeling data in a non-relational database, as well as a set of common design patterns. This book mainly focused on both Cassandra and Riak.< Less
Data Model: World Cup 2018 By Viji Kumar
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The aim of this book is to explain, using a data model, how FIFA World Cup tournament data can be used to produce a set of searchable records to document the outcomes of the games played. This will... More > be done by the linking of individual items of information (data) about an entity, e.g. the names of teams, with other items of information e.g. number of games played, goals scored etc. The data of interest are that which enable the deduction of the result of each game. To explain how databases may be constructed in accordance with the data model, I shall work through the creation and population of a database that can be used to document the FIFA World Cup 2018 tournament to be held in Russia. The intention is to use a method that is simple, rigorous and repeatable. The techniques employed and the models discussed are independent of any proprietary database management system. The models can also be extended.< Less
Data Mining with Linear Models Without Introduction to Data Analysis By Patricia Cerrito
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For Students who have completed the Introductory Courses in Statistics, you may purchase this book as an add-on to the previous textbook.
The United Kingdom's Democracy: Primer & Data Model By Viji Kumar
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The aim of this book is to introduce a model of the UK’s first past the post (FPTP) electoral process. The hope here is that the model may be useful to explain the data that are aggregated when... More > comparing the percentage of votes cast for party candidates nationally to the percentage of party membership of the MPs in the House of Commons. This is because there has been increasing discussion by my fellow citizens about the representativeness or otherwise of Parliament, especially post 2016. The variance between the two parameters could conceivably be one of the measures of how optimal an electoral system is in delivering a representative democracy. To enable a comparison with alternatives to FPTP, I shall demonstrate the D’Hondt method using the 2019 EU Election results for Scotland and the Single Transferable Vote method using the 2019 EU Election results for Northern Ireland.< Less
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