Expert.Oracle.Database.Architecture.2nd.Edition

Expert Oracle Database Architecture is a masterpiece created by Oracle's global engineers. This work showcases advanced techniques and insights into the design, implementation, and optimization of Oracle databases. The architecture emphasizes scalability, high availability, and efficient performance across various environments. With its intricate details, this guide provides professionals with the knowledge needed to architect and manage Oracle databases in enterprise-level systems.

Expert MySQL is the premier guide for learning, comprehending, and expanding the MySQL server. It fully explores the potential of open-source by demonstrating methods to alter the code, develop custom storage engines, design personalized authentication plugins, and introduce unique functions and commands into SQL syntax. No other publication matches the comprehensive insights and practical examples into MySQL's inner workings, expertise honed over years by engineers. Expert MySQL serves as an indispensable resource for integrators, engineers, and software developers engaged with MySQL server code.

This book is aimed at those people who appreciate the choice but would also like some guidelines and practical implementation details on Oracle features and functions.

The Oracle Architecture is composed of several layers that work together to provide a robust, scalable database system. At the core is the Oracle Database, which relies on a multi-tiered architecture for storage and management of data. Key components include the Instance, which is made up of memory structures like the System Global Area (SGA) and background processes like the Database Writer. The Database Storage layer handles physical data files, and the User Layer interacts with the system through SQL queries and applications. The architecture is designed to optimize performance, scalability, and security, ensuring data integrity and high availability.

Oracle的进程结构是Oracle数据库体系架构中的关键组成部分。用户端发出SQL命令后，Oracle的服务器进程负责接收并处理请求。通过内存区域进行精细的语法分析、编译和执行，最后将数据写入数据文件，并将数据库修改信息记录到日志文件。最终，执行结果被返回至客户端。

作者： Wes McKinney页数： 550语言： 英文出版商： O'Reilly Media出版日期： 2017-09-25ISBN-10： 1491957662ISBN-13： 9781491957660目录：- 前言- Python 语言基础、IPython 和 Jupyter 笔记本- 内置数据结构、函数和文件- NumPy 基础：数组和矢量化计算- pandas 入门- 数据加载、存储和文件格式- 数据清洗和准备- 数据处理：连接、合并和重塑- 绘图和可视化- 数据汇总和组操作- 插曲：数据分析示例- 时间序列- 高级 NumPy- 使用 pandas 的建模库- 示例数据集- 附录：高级 IPython 和 Jupyter

Updated for the latest database management systems -- including MySQL 6.0, Oracle 11g, and Microsoft's SQL Server 2008 -- this introductory guide will get you up and running with SQL quickly. Whether you need to write database applications, perform administrative tasks, or generate reports, Learning SQL, Second Edition will help you easily master all the SQL fundamentals. Each chapter presents a self-contained lesson on a key SQL concept or technique, with numerous illustrations and annotated examples.

《Spark 2nd Edition快速数据处理》是一本关于使用Spark进行快速、分布式和可扩展实时数据分析的电子版图书，作者包括Krishna Sankar和Holden Karau，由Packt Publishing出版，第二版出版于2015年3月。本书详细介绍了如何利用Apache Spark的强大功能和灵活性来处理大数据，重点在于实时数据处理。内容涵盖Spark的基本架构、Spark Streaming的数据流处理、Spark SQL的数据库操作、MLlib机器学习库的使用以及GraphX图形处理框架。通过丰富的实例和详细解释，展示了如何构建高效的大数据处理程序。Spark是一个开源的分布式计算系统，提供了一个快速、通用的计算引擎。其核心RDD是一个容错的、并行操作的数据结构，可以显式地将数据存储在内存中，实现快速访问。Spark Streaming模块处理实时数据流，允许用户从多种源接收数据流，并应用相同的转换和动作。Spark SQL模块提供DataFrame API，类似于Python中的pandas库或R语言中的数据框，支持SQL查询语言进行数据分析。MLlib是内置的机器学习库，提供多种常见的ML算法实现和构建工具。GraphX是用于图形计算和数据并行计算的API，扩展了RDD，提供了多种图算法实现。

Oracle Database 12c Architecture is designed to enhance scalability and flexibility. It introduces multitenant architecture, allowing multiple databases (pluggable databases) to run within a single container. This enables better resource management and consolidation. Additionally, features like automatic data optimization and in-memory processing provide improved performance and efficiency.