数据库英文书目是什么

1. Database Management Systems by Raghu Ramakrishnan and Johannes Gehrke: This comprehensive textbook covers the fundamental concepts of database management systems, including data modeling, relational algebra, query processing, and transaction management.

2. Database System Concepts by Abraham Silberschatz, Henry F. Korth, and S. Sudarshan: This popular textbook provides a solid foundation in database systems, covering topics such as ER modeling, SQL, indexing, and concurrency control.

3. Fundamentals of Database Systems by Ramez Elmasri and Shamkant B. Navathe: This book offers a thorough introduction to the principles of database systems, exploring topics such as relational database design, normalization, and query optimization.

4. Database Design for Mere Mortals: A Hands-On Guide to Relational Database Design by Michael J. Hernandez: This practical guide is aimed at non-technical readers and provides step-by-step instructions for designing a relational database, including topics such as data modeling, normalization, and database security.

5. SQL in 10 Minutes, Sams Teach Yourself by Ben Forta: This book is a quick and easy guide to learning SQL, the language used for interacting with databases. It covers the basics of SQL syntax, querying, and modifying data.

6. NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence by Martin Fowler and Pramod Sadalage: This book explores the world of NoSQL databases, discussing different types of NoSQL databases, their strengths and weaknesses, and when to use them.

7. Big Data: A Revolution That Will Transform How We Live, Work, and Think by Viktor Mayer-Schönberger and Kenneth Cukier: This book discusses the impact of big data on various aspects of society, including business, government, and everyday life. It explores the challenges and opportunities posed by the growing volume of data and the need for effective data management.

8. Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking by Foster Provost and Tom Fawcett: This book provides an introduction to the field of data science, covering topics such as data mining, machine learning, and predictive analytics. It focuses on the practical applications of data science in business contexts.

9. The Art of SQL by Stephane Faroult and Peter Robson: This book offers a comprehensive guide to SQL programming, covering topics such as query optimization, transaction management, and data integrity.

10. Hadoop: The Definitive Guide by Tom White: This book provides a detailed introduction to Apache Hadoop, an open-source framework for distributed storage and processing of large datasets. It covers topics such as Hadoop architecture, data processing with MapReduce, and data storage with HDFS.

These are just a few examples of the many books available on the topic of databases. The choice of book may depend on your specific needs, such as whether you are looking for a beginner's guide, a textbook for academic study, or a practical guide for hands-on database design and management.

Database English Bibliography

1. "Database Management Systems" by Raghu Ramakrishnan and Johannes Gehrke
   This book is considered a classic in the field of database management systems. It provides a comprehensive introduction to database concepts, design, and implementation. It covers topics such as relational databases, SQL, transaction management, and database tuning.

2. "Database Systems: The Complete Book" by Hector Garcia-Molina, Jeffrey D. Ullman, and Jennifer Widom
   This book is widely used in university courses and provides a thorough coverage of database systems. It covers topics such as data modeling, relational algebra, query optimization, and distributed databases. It also includes examples and exercises to reinforce the concepts.

3. "Database Design for Mere Mortals: A Hands-On Guide to Relational Database Design" by Michael J. Hernandez
   This book is aimed at beginners and provides a practical approach to database design. It covers topics such as normalization, entity-relationship modeling, and creating effective database designs. It also includes case studies and examples to illustrate the concepts.

4. "Database Systems: Concepts, Design and Applications" by S. K. Singh
   This book provides a comprehensive coverage of database systems, including conceptual design, logical design, and physical design. It also covers topics such as SQL, transaction management, and database security. It includes numerous examples and exercises to reinforce the concepts.

5. "Modern Database Management" by Jeffrey A. Hoffer, Ramesh Venkataraman, and Heikki Topi
   This book provides a modern perspective on database management. It covers topics such as data modeling, database design, and database administration. It also includes discussions on emerging trends such as big data and NoSQL databases.

6. "Database Systems: A Practical Approach to Design, Implementation, and Management" by Thomas M. Connolly and Carolyn E. Begg
   This book provides a practical approach to database systems. It covers topics such as database design, SQL, transaction management, and database administration. It also includes case studies and examples to illustrate the concepts.

7. "Data Mining: Practical Machine Learning Tools and Techniques" by Ian H. Witten, Eibe Frank, and Mark A. Hall
   This book focuses on data mining techniques and algorithms. It covers topics such as classification, clustering, association rules, and text mining. It also includes practical examples and case studies to demonstrate the application of data mining techniques.

8. "NoSQL for Mere Mortals" by Dan Sullivan
   This book provides an introduction to NoSQL databases. It covers topics such as key-value stores, document databases, columnar databases, and graph databases. It also includes examples and use cases to illustrate the strengths and limitations of NoSQL databases.

9. "Database Internals: A Deep Dive into How Distributed Data Systems Work" by Alex Petrov
   This book provides an in-depth understanding of how distributed data systems work. It covers topics such as distributed storage, replication, consistency models, and query processing. It is suitable for those who want to gain a deeper understanding of the internals of database systems.

10. "The Art of SQL" by Stephane Faroult and Peter Robson
    This book focuses on SQL and provides practical tips and techniques for writing efficient and effective SQL queries. It covers topics such as query optimization, indexing, and performance tuning. It is suitable for both beginners and experienced SQL users.

These books cover a wide range of topics in database management systems, database design, data mining, NoSQL databases, and SQL. They are recommended for students, professionals, and anyone interested in learning more about databases.

Database English Bibliography

Introduction:
A bibliography is a list of sources that have been used in the research or writing of a particular work. In the case of a database English bibliography, it would include sources related to the field of databases and their study. This article aims to provide a comprehensive list of essential books in the field of databases written in English.

1. "Database System Concepts" by Abraham Silberschatz, Henry F. Korth, and S. Sudarshan:
   This book is considered a classic in the field of database systems. It provides a comprehensive introduction to the concepts and techniques used in database systems. It covers topics such as relational database design, SQL, transaction processing, and data mining.

2. "Database Management Systems" by Raghu Ramakrishnan and Johannes Gehrke:
   This book is another popular choice for learning about database management systems. It provides a comprehensive coverage of the principles and techniques used in designing, building, and managing database systems. It covers topics such as data modeling, relational algebra, query optimization, and database security.

3. "Database Systems: The Complete Book" by Hector Garcia-Molina, Jeffrey D. Ullman, and Jennifer Widom:
   This book offers a comprehensive introduction to the design and implementation of database systems. It covers topics such as conceptual modeling, relational databases, object-oriented databases, and XML. It also includes chapters on advanced topics such as data mining and information retrieval.

4. "Database Design for Mere Mortals: A Hands-On Guide to Relational Database Design" by Michael J. Hernandez:
   This book is aimed at beginners and provides a practical approach to database design. It covers topics such as normalization, data types, primary and foreign keys, and indexing. It also includes case studies and exercises to reinforce the concepts.

5. "SQL Cookbook: Query Solutions and Techniques for Database Developers" by Anthony Molinaro:
   This book is a valuable resource for database developers and administrators. It provides a collection of practical recipes and techniques for solving common SQL problems. It covers topics such as data manipulation, query optimization, and performance tuning.

6. "Data Modeling Essentials" by Graeme Simsion and Graham Witt:
   This book focuses on the essential concepts and techniques of data modeling. It covers topics such as entity-relationship modeling, normalization, and data modeling for different types of databases. It also includes case studies and exercises to enhance understanding.

7. "Big Data: A Revolution That Will Transform How We Live, Work, and Think" by Viktor Mayer-Schönberger and Kenneth Cukier:
   This book explores the world of big data and its impact on various aspects of our lives. It covers topics such as data collection, storage, analysis, and privacy. It also discusses the potential benefits and challenges of big data.

8. "NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence" by Martin Fowler and Pramod J. Sadalage:
   This book provides an introduction to NoSQL databases and their role in modern application development. It covers topics such as data modeling, distributed databases, and scalability. It also includes case studies and examples of real-world implementations.

Conclusion:
The above list represents a selection of essential books in the field of databases written in English. These books cover a wide range of topics, from fundamental concepts to advanced techniques. Whether you are a beginner or an experienced professional, these books will provide valuable insights and knowledge in the field of databases.