Tutorial Database Management

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The Manga Guide To Databases

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Author : Mana Takahashi
language : en
Publisher: No Starch Press
Release Date : 2009-01-15

The Manga Guide To Databases written by Mana Takahashi and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-01-15 with Computers categories.

Want to learn about databases without the tedium? With its unique combination of Japanese-style comics and serious educational content, The Manga Guide to Databases is just the book for you. Princess Ruruna is stressed out. With the king and queen away, she has to manage the Kingdom of Kod's humongous fruit-selling empire. Overseas departments, scads of inventory, conflicting prices, and so many customers! It's all such a confusing mess. But a mysterious book and a helpful fairy promise to solve her organizational problems—with the practical magic of databases. In The Manga Guide to Databases, Tico the fairy teaches the Princess how to simplify her data management. We follow along as they design a relational database, understand the entity-relationship model, perform basic database operations, and delve into more advanced topics. Once the Princess is familiar with transactions and basic SQL statements, she can keep her data timely and accurate for the entire kingdom. Finally, Tico explains ways to make the database more efficient and secure, and they discuss methods for concurrency and replication. Examples and exercises (with answer keys) help you learn, and an appendix of frequently used SQL statements gives the tools you need to create and maintain full-featured databases. (Of course, it wouldn't be a royal kingdom without some drama, so read on to find out who gets the girl—the arrogant prince or the humble servant.) This EduManga book is a translation of a bestselling series in Japan, co-published with Ohmsha, Ltd., of Tokyo, Japan.

Database Management System With Mysql

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Author : Thanh X Tran
language : en
Publisher:
Release Date : 2019-12-24

Database Management System With Mysql written by Thanh X Tran and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-24 with categories.

Database Management System with MySQL***MySQL tutorial for beginnersThe above MySQL tutorial explains how to install MySQL and run various SQL queries using MySQL Workbench. It also covers data exports and imports, as well as instructions for connecting a website to MySQL.The tutorial assumes a basic understanding of how databases work.

Principles Of Database Management

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Author : Wilfried Lemahieu
language : en
Publisher: Cambridge University Press
Release Date : 2018-07-12

Principles Of Database Management written by Wilfried Lemahieu and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-12 with Computers categories.

Introductory, theory-practice balanced text teaching the fundamentals of databases to advanced undergraduates or graduate students in information systems or computer science.

Introduction To Database Management System

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Author : Satinder Bal Gupta
language : en
Publisher: Laxmi Publications
Release Date :

Introduction To Database Management System written by Satinder Bal Gupta and has been published by Laxmi Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on with Database design categories.

Database Systems

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Author : Thomas M. Connolly
language : en
Publisher: Pearson Education
Release Date : 2005

Database Systems written by Thomas M. Connolly and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.

This book places a strong emphasis on good design practice, allowing readers to master design methodology in an accessible, step-by-step fashion. In this book, database design methodology is explicitly divided into three phases: conceptual, logical, and physical. Each phase is described in a separate chapter with an example of the methodology working in practice. Extensive treatment of the Web as an emerging platform for database applications is covered alongside many code samples for accessing databases from the Web including JDBC, SQLJ, ASP, ISP, and Oracle's PSP. A thorough update of later chapters covering object-oriented databases, Web databases, XML, data warehousing, data mining is included in this new edition. A clear introduction to design implementation and management issues, as well as an extensive treatment of database languages and standards, make this book an indispensable, complete reference for database professionals.

Advanced Database Systems

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Author : Nabil R. Adam
language : en
Publisher: Springer Science & Business Media
Release Date : 1993-12-08

Advanced Database Systems written by Nabil R. Adam and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-12-08 with Computers categories.

Database management is attracting wide interest in both academic and industrial contexts. New application areas such as CAD/CAM, geographic information systems, and multimedia are emerging. The needs of these application areas are far more complex than those of conventional business applications. The purpose of this book is to bring together a set of current research issues that addresses a broad spectrum of topics related to database systems and applications. The book is divided into four parts: - object-oriented databases, - temporal/historical database systems, - query processing in database systems, - heterogeneity, interoperability, open system architectures, multimedia database systems.

An Introduction To Database Systems

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Author : C. J. Date
language : en
Publisher:
Release Date : 2000

An Introduction To Database Systems written by C. J. Date and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Bases de données - Gestion categories.

For over 25 years, C. J. Dates An Introduction to Database Systems has been the authoritative resource for readers interested in gaining insight into and understanding of the principles of database systems. This exciting revision continues to provide a solid grounding in the foundations of database technology and to provide some ideas as to how the field is likely to develop in the future. The material is organized into six major parts. Part I provides a broad introduction to the concepts of database systems in general and relational systems in particular. Part II consists of a careful description of the relational model, which is the theoretical foundation for the database field as a whole. Part III discusses the general theory of database design. Part IV is concerned with transaction management. Part V shows how relational concepts are relevant to a variety of further aspects of database technology-security, distributed databases, temporal data, decision support, and so on. Finally, Part VI describes the impact of object technology on database systems. This Seventh Edition of An Introduction to Database Systems features widely rewritten material to improve and amplify treatment o

Database Management Applications Microsoft Access Openoffice Base Mysql 3 In 1 Ebooks

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Author : AMC College
language : en
Publisher: Advanced Micro Systems Sdn Bhd
Release Date : 2023-01-01

Database Management Applications Microsoft Access Openoffice Base Mysql 3 In 1 Ebooks written by AMC College and has been published by Advanced Micro Systems Sdn Bhd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-01 with Computers categories.

This eBook consists of 3 titles: Database (Microsoft Access) Level 1 Database (OpenOffice Base) Database (MySQL)

Step By Step Project Based Tutorials Data Science With Python Gui Traffic And Heart Attack Analysis And Prediction

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Author : Vivian Siahaan
language : en
Publisher: BALIGE PUBLISHING
Release Date : 2023-06-21

Step By Step Project Based Tutorials Data Science With Python Gui Traffic And Heart Attack Analysis And Prediction written by Vivian Siahaan and has been published by BALIGE PUBLISHING this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-21 with Computers categories.

In this book, you will implement two data science projects using Scikit-Learn, Scipy, and other libraries with Python GUI. In chapter 1, you will learn how to use Scikit-Learn, Scipy, and other libraries to perform how to predict traffic (number of vehicles) in four different junctions using Traffic Prediction Dataset (https://viviansiahaan.blogspot.com/2023/06/step-by-step-project-based-tutorials.html). This dataset contains 48.1k (48120) observations of the number of vehicles each hour in four different junctions: 1) DateTime; 2) Juction; 3) Vehicles; and 4) ID. Here's the outline of the steps involved in predicting traffic: Dataset Preparation: Extract the dataset files to a local folder. Import the necessary libraries, such as pandas and numpy. Load the dataset into a pandas DataFrame. Exploratory Data Analysis (EDA). Explore the dataset to understand its structure and characteristics. Check for missing values or anomalies in the data. Examine the distribution of the target variable (number of vehicles). Visualize the data using plots or graphs to gain insights into the patterns and trends.; Data Preprocessing: Convert the DateTime column to a datetime data type for easier manipulation. Extract additional features from the DateTime column, such as hour, day of the week, month, etc., which might be relevant for traffic prediction. Encode categorical variables, such as Junction, using one-hot encoding or label encoding. Split the dataset into training and testing sets for model evaluation.; Feature Selection/Engineering: Perform feature selection techniques, such as correlation analysis or feature importance, to identify the most relevant features for traffic prediction. Engineer new features that might capture underlying patterns or relationships in the data, such as lagged variables or rolling averages.; Model Selection and Training: Choose an appropriate machine learning model for traffic prediction, such as linear regression, decision trees, random forests, or gradient boosting. Split the data into input features (X) and target variable (y). Split the data further into training and testing sets. Fit the chosen model to the training data. Evaluate the model's performance using appropriate evaluation metrics (e.g., mean squared error, R-squared). Model Evaluation and Hyperparameter Tuning. Assess the model's performance on the testing set. Tune the hyperparameters of the chosen model to improve its performance. Use techniques like grid search or randomized search to find the optimal hyperparameters.; Model Deployment and Prediction: Once satisfied with the model's performance, retrain it on the entire dataset (including the testing set). Save the trained model for future use. Utilize the model to make predictions on new, unseen data for traffic prediction. In chapter 2, you will learn how to use Scikit-Learn, NumPy, Pandas, and other libraries to perform how to analyze and predict heart attack using Heart Attack Analysis & Prediction Dataset (https://viviansiahaan.blogspot.com/2023/06/step-by-step-project-based-tutorials.html). Following are the outline steps for analyzing and predicting heart attacks using the Heart Attack Analysis & Prediction Dataset. Introduction and Dataset Description: Provide an introduction to the topic of heart attack analysis and prediction. Briefly explain the dataset's source and its features, such as age, sex, blood pressure, cholesterol levels, etc.; Data Loading: Explain how to load the Heart Attack Analysis & Prediction Dataset into your Python environment using libraries like Pandas. You can mention that the dataset should be in a CSV format and demonstrate how to load it.; Data Exploration: Describe the importance of exploring the dataset before analysis. Show how to examine the dataset's structure, check for missing values, understand the statistical summary, and visualize the data using plots or charts.; Data Preprocessing: Explain the steps required to preprocess the dataset before feeding it into a machine learning model. This may include handling missing values, encoding categorical variables, scaling numerical features, and dealing with any other necessary data transformations.; Data Splitting: Describe how to split the preprocessed data into training and testing sets. Emphasize the importance of having separate data for training and evaluation to assess the model's performance accurately.; Model Building and Training: Explain how to choose an appropriate machine learning algorithm for heart attack prediction and how to build a model using libraries like Scikit-Learn. Outline the steps involved in training the model on the training dataset.; Model Evaluation: Describe how to evaluate the trained model's performance using appropriate evaluation metrics, such as accuracy, precision, recall, and F1 score. Demonstrate how to interpret the evaluation results and assess the model's predictive capabilities.; Predictions on New Data: Explain how to use the trained model to make predictions on new, unseen data. Demonstrate the process of feeding new data to the model and obtaining predictions for heart attack risk.

Access Control For Databases

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Author : Elisa Bertino
language : en
Publisher: Now Publishers Inc
Release Date : 2011-02

Access Control For Databases written by Elisa Bertino and has been published by Now Publishers Inc this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02 with Computers categories.

A comprehensive survey of the foundational models and recent research trends in access control models and mechanisms for database management systems.