Oracle 17c在数据库管理界的里程碑式进展（oracle 17401）

Oracle 17c: Milestone Progress in Database Management

Oracle, the global leader in database management systems, has always been at the forefront of innovation and advancement in the field. Its latest release, Oracle 17c, is another milestone in its journey towards excellence. With a range of new and improved features, Oracle 17c promises to deliver unparalleled performance, security, and flexibility to its users.

One of the key highlights of Oracle 17c is its support for multi-model databases. This means that it can handle different data models, such as relational, JSON, and XML, in a single database instance. This makes it easier for users to integrate their various data sources and perform complex queries across them. To achieve this, Oracle 17c introduces a new type of data structure called the native JSON datatype. This allows users to store JSON data in a much more efficient and scalable way, making it an ideal choice for modern, data-rich applications.

Another major improvement in Oracle 17c is its support for machine learning. Oracle has integrated its flagship machine learning platform, Oracle Machine Learning, directly into the database engine. This means that users can run machine learning algorithms on their data without having to move it to a separate platform. This not only saves time and effort, but also ensures better data security and compliance. Furthermore, Oracle 17c has improved its in-database analytics capabilities, which allows users to perform complex analytics tasks on their data in real-time. With these features, Oracle 17c has made it easier for users to extract insights and value from their data.

Oracle 17c also comes with several security enhancements. It introduces a new feature called unified auditing, which captures all the audit data in a single location, making it easier to manage and analyze. It also provides finer-grned access controls, which allow users to specify privileges at the individual column level, rather than just at the table level. This ensures greater data security and compliance, especially for sensitive data. Furthermore, Oracle 17c introduces a new algorithm for password verification, which makes it harder for attackers to guess or crack passwords.

In terms of performance, Oracle 17c has made significant improvements in several areas. It introduces a new feature called in-memory metadata cache, which speeds up metadata operations by caching frequently accessed metadata objects in memory. It also improves query performance by introducing new join algorithms and optimizations. Oracle 17c also comes with enhanced indexing capabilities, which can speed up queries by up to 30x in some cases.

Overall, Oracle 17c represents a significant step forward in the field of database management. Its support for multi-model databases, machine learning, and in-database analytics, along with its security and performance enhancements, makes it a potent platform for modern, data-driven applications. With Oracle 17c, users can expect faster, more secure, and more flexible database operations, allowing them to focus on driving business value from their data.