What are the recommended classic reading materials for massive data computing?

Principles and Design of Database Management Systems (3rd Edition) has become the preferred textbook for database courses because of its comprehensive content and strong practicality. The book is divided into seven parts: database basics, application development, storage and indexing, query evaluation, transaction management, database design and adjustment, and advanced topics, and discusses in detail the design and use of databases, the basic principles and implementation techniques of database management systems, and the new progress of database research. "Principles and Design of Database Management System" takes the complete design of an online bookstore as an example to introduce the specific implementation process of the database system.

The 3rd edition retains the traditional advantages of the previous two editions and adds much of the latest research and development on databases, with selected review questions and exercises at the end of each chapter making Principles and Design of Database Management Systems more engaging and readable.

The Age of Big Data is a precedent for foreign big data system research, the author of this book, Victor, is known as "the first person in the commercial application of big data", has teaching experience in Harvard University, Oxford University and the National University of Singapore and other Internet research centers, as early as 2010 in the "Economist" published a 14-page forward-looking research on the application of big data. The book mainly talks about the changes in the era of big data, business changes and management changes. "Big Data Era" believes that the core of big data is **.

Killer Applications in the Cloud Era: Big Data Analytics analyzes three parts: what is big data, big business opportunities for big data, and technology and prospects. The first part introduces the concept of big data analysis and the scope of application of enterprises and departments.

What is Big Data Analytics? What does it have to do with individuals and businesses? What kind of impact will it have on the global industry?

The second part completely introduces the application of big data in various industries, and the direction of application for enterprises and departments. It provides practical application cases from all over the world, covering various industries such as retail, finance, ** sector, energy, manufacturing, entertainment, etc., fully demonstrating the benefits of big data analysis. The third part briefly introduces the technologies required for big data analysis and future development trends, and provides readers with the direction of application and research.

Big Data Analytics: Counting into GoldYou're sitting in a gold mine, buried in backups or hidden in data sets in front of you, and they're the secret to improving your company's bottom line, expanding into new business relationships, and making more intuitive decisions that can take your business to the next level. You'll learn how to harness, analyze, and harness data to reap the rewards.

The author, Frank Ohlhorst, wrote this book based on decades of technical experience. In this book, you will learn how to mine data and how to uncover trends from data and turn them into competitive strategies and methods for extracting value. These more interesting and effective ways to make your business smarter will help you solve real problems, increase profit margins, increase productivity and identify more business opportunities.

Memory data model, what data structures are there, what problems do they correspond tob) Persistent data model, what data structures are there, what problems do they correspond to, and various data structures have good navigation on the wiki, which can provide reference 3Computational models and their applications, such as MapReduce, and their variants, what problems they are used to solve, and why there are evolutions4The consistency model and its various trade off5

What are the open source projects for each application scenario, and then study the design a) how MySQL is designed b) How various NoSQL are designed c) How Google handles massive data problems, including Hadoop, HBase, Hive, Cassandra, Zookeeper, etc., and how it is designed.

Database Index Design and Optimization is intended for those who already have knowledge of SQL as a relational language and want to benefit from an understanding of SQL performance, or by understanding how to design tables and indexes effectively. Database Index Design and Optimization is also intended for veterans who want to make a better judgment about the changes that may be brought about by the introduction of new hardware. Tapio Lahdenmaki, Database Performance Consultant, teaches a course on Universal Index Design.

He has been with IBM for more than 30 years and is the lead author of the company's global curriculum on db2 (for z os) performance. Michael Leach, a relational database consultant, is a retired IBM with 20 years of experience teaching applications and databases. The articles of both authors have been translated into many Chinese languages and widely disseminated.

Their approach to index design has been successfully applied to many core systems.

PostgreSQL is a widely used open-source database management system. Starting from the source of the PostgreSQL database, this book deeply analyzes the underlying implementation details of the database management system, and reveals the basic principles of database operation. The main contents of the book include:

PostgreSQL database architecture, storage management, indexing mechanism, query compilation, query execution, concurrency control mechanism, security, etc. Each topic cites a large number of data structures, diagrams, etc., so that the reader can understand the implementation process and mechanism at a glance.

Massive data processing itself is very practical, so there are not many books alone, and it is far from enough. In the past, I summarized a bean column, mainly around the topic of massive data storage (not involving computational models), and basically included the published book "Database Index Design and Optimization", which provides a simple, efficient, and universal relational database index design method. Through systematic explanations and a large number of cases, the author clearly explains the principle of access path selection of relational databases, as well as the scanning methods of tables and indexes, and explains in detail how to quickly estimate the CPU time and execution time of SQL running, so as to help readers understand the impact of SQL, table and index structure, and access methods on relational databases in principle, and can use quantitative methods to judge and optimize, and guide the index design of relational databases.

Oracle 9i&10G The Art of Programming: Deep Dive into Database Architectures is the definitive guide to Oracle database notarization, drawing on decades of experience and insights from the world's leading Oracle expert, Thomas Kyte. The book provides an in-depth analysis of the Oracle database architecture, including files, in-memory structures, and the degree tier processes that make up Oracle databases and instances, and then discusses important database topics such as locking, concurrency control, transactions, redos, and undos, and explains their intrinsic importance.

Finally, the physical structures in the database, such as tables, indexes, and data types, are analyzed, and the techniques used to optimize these physical structures are introduced. Whether you're a programmer or a DBA, creating and managing a stable, high-quality Oracle system comes down to understanding the architecture of Oracle databases.