Oracle 23c New Features
Introduction
Welcome to the future of database management with Oracle 23c. Packed with cutting-edge features, Oracle 23c new features redefine database performance, security, and innovation. In this comprehensive guide, we explore the most exciting Oracle 23c new features, designed to give your business a competitive edge.
Enhanced Security Features
Security is at the forefront of Oracle 23c new features. This release introduces advanced security measures, including:
- Improved Authentication and Access Control: Oracle 23c strengthens authentication and access control, ensuring only authorized users can access your database.
- Data Redaction Enhancements: Protect sensitive information with Oracle 23c’s enhanced data redaction features, meeting the latest privacy regulations.
- Advanced Encryption and Auditing: Oracle 23c upgrades encryption and auditing capabilities, securing your data in transit and at rest.
To enable Transparent Data Encryption (TDE) for securing data, use:
ALTER SYSTEM SET ENCRYPTION WALLET OPEN IDENTIFIED BY "<password>";
To implement data redaction, create a redaction policy using:
DBMS_REDACT.ADD_POLICY(
object_schema => 'HR',
object_name => 'EMPLOYEES',
column_name => 'SSN',
policy_name => 'REDACT_POLICY',
function_type => DBMS_REDACT.FULL);
Example: In the financial sector, companies use Oracle 23c’s enhanced encryption and auditing features to secure transaction data and comply with strict regulatory standards like GDPR.
Performance Optimization with Oracle 23c New Features
Oracle 23c introduces groundbreaking performance enhancements that significantly boost operational efficiency. Key Oracle 23c new features focused on performance optimization include:
- Optimized Query Execution: Oracle 23c employs advanced algorithms to streamline query execution, delivering faster and more efficient results. This optimization is a standout among Oracle 23c new features, ensuring that complex queries run smoother than ever before.
- Real-Time Statistics: One of the most compelling Oracle 23c new features is the adaptive execution plans that adjust based on real-time data. This ensures optimal performance as the database dynamically responds to current workloads.
- Enhanced In-Memory Processing: Oracle 23c enhances data access speeds through improved in-memory processing. This feature is pivotal for scenarios requiring instant data retrieval and analysis, setting a new standard in performance among Oracle 23c new features.
To enable Real-Time Statistics, set the following parameter:
ALTER SYSTEM SET REAL_TIME_STATISTICS = TRUE SCOPE=BOTH;
To enable In-Memory Processing and mark tables for in-memory use:
ALTER SYSTEM SET INMEMORY_SIZE = 2G SCOPE=BOTH;
ALTER TABLE sales INMEMORY;
Example: E-commerce companies benefit from Oracle 23c’s in-memory processing to quickly analyze customer data and provide personalized recommendations during high-traffic sales events.
Cloud Integration
Oracle 23c fully embraces the cloud, offering seamless integration with Oracle Cloud services:
- Effortless Cloud Migration: Oracle 23c makes migrating to the cloud easier, with minimal disruption.
- Multi-Cloud Support: Oracle 23c allows for flexible data management across multiple cloud providers.
- Cloud-Optimized Backup and Recovery: Keep your data safe with Oracle 23c’s cloud-focused backup solutions.
To connect your on-premise system with Oracle Cloud using a database link, use:
CREATE DATABASE LINK cloud_link CONNECT TO user IDENTIFIED BY password USING 'tns_entry';
Example: Healthcare providers use Oracle 23c’s cloud migration and backup features to securely store patient data across multiple cloud environments, ensuring data availability and compliance.
Data Governance and Compliance
Oracle 23c helps organizations meet regulatory requirements with robust data governance features:
- Advanced Auditing and Reporting: Oracle 23c simplifies compliance reporting with comprehensive auditing tools.
- Data Masking and Redaction: Ensure sensitive data is protected, even in non-production environments.
- Data Anonymization: Oracle 23c offers advanced data anonymization techniques to meet privacy regulations.
To enable Unified Auditing, configure the audit trail with:
ALTER SYSTEM SET AUDIT_TRAIL = DB SCOPE=SPFILE;
AUDIT SELECT ON employees BY ACCESS;
Example: Insurance companies leverage Oracle 23c’s data masking and anonymization features to safely share customer data with third-party partners while staying compliant with data privacy laws.
Advanced Analytics and Machine Learning
Unlock insights with Oracle 23c’s powerful analytics and machine learning capabilities:
- Integrated Machine Learning Models: Build and deploy machine learning models directly within Oracle 23c.
- Real-Time Data Analytics: Perform analytics on live data streams with Oracle 23c.
- Predictive Analytics: Oracle 23c’s advanced algorithms offer actionable predictions for business growth.
To create a Machine Learning Model within Oracle 23c, use:
BEGIN
DBMS_DATA_MINING.CREATE_MODEL(
model_name => 'SALES_PRED_MODEL',
mining_function => DBMS_DATA_MINING.CLASSIFICATION,
data_table_name => 'SALES_DATA',
case_id_column_name => 'SALES_ID',
target_column_name => 'PURCHASED');
END;
Example: Retailers use Oracle 23c’s predictive analytics to anticipate product demand, optimize inventory, and enhance customer experience.
Autonomous Database Enhancements
Oracle 23c builds on the autonomous database concept, introducing new features that include:
- Self-Patching and Upgrading: Oracle 23c autonomously applies patches and upgrades, reducing downtime.
- Advanced Self-Tuning: Oracle 23c optimizes performance automatically based on workload patterns.
- Enhanced Fault Detection and Recovery: Oracle 23c quickly detects and recovers from system failures.
To manage Autonomous Database patches, use:
EXEC DBMS_AUTO_TASK_IMMEDIATE.GATHER_SCHEMA_STATS('SCOTT');
Example: Large enterprises benefit from Oracle 23c’s autonomous database by reducing manual maintenance tasks, allowing their IT teams to focus on strategic projects.
Scalability and High Availability
Oracle 23c enhances scalability and availability to support growing data demands:
- Seamless Horizontal Scaling: Oracle 23c scales horizontally across clusters, ensuring high performance under load.
- Advanced Data Replication: Oracle 23c offers robust replication options for high availability.
- Enhanced Disaster Recovery: Oracle 23c improves disaster recovery with near-zero data loss.
To configure Sharding for horizontal scaling, use:
EXEC DBMS_GSM.SET_SHARD_CONFIGURATION('shardgroup1');
Example: Financial institutions use Oracle 23c’s sharding and replication features to ensure 24/7 availability of critical banking services worldwide.
Data Integration and ETL
Oracle 23c improves data integration and ETL processes with new features:
- Enhanced Data Connectors: Oracle 23c offers a wider range of connectors for seamless data integration.
- Advanced ETL Processing: Oracle 23c optimizes ETL operations with parallel processing and error handling.
- Data Virtualization: Oracle 23c enables access to data across multiple sources without replication.
To create a Database Link for integrating with external data sources, use:
CREATE DATABASE LINK mydb_link CONNECT TO user IDENTIFIED BY password USING 'tns_entry';
Example: A multinational corporation uses Oracle 23c’s data virtualization and integration features to create a unified view of global sales data without physically moving data across regions.
Database Administration and Management
Oracle 23c offers tools that simplify database administration and management tasks:
- Improved Monitoring and Diagnostics: Oracle 23c provides detailed insights into database performance and health.
- Enhanced Automation for Routine Tasks: Automate backups, performance tuning, and other routine tasks.
- Advanced Tools for Capacity Planning: Oracle 23c helps you plan for future growth with predictive analytics.
To automate routine tasks like backups, schedule them using:
BEGIN
DBMS_SCHEDULER.CREATE_JOB (
job_name => 'DAILY_BACKUP',
job_type => 'PLSQL_BLOCK',
job_action => 'BEGIN BACKUP_DB_PROCEDURE; END;',
start_date => SYSTIMESTAMP,
repeat_interval => 'FREQ=DAILY;BYHOUR=23;BYMINUTE=0',
enabled => TRUE);
END;
Example: IT teams use Oracle 23c’s automation tools to reduce the burden of daily database administration, allowing for more strategic work.
Advanced Data Types and Structures
Oracle 23c introduces new data types and structures for complex data management:
- Native JSON and XML Support: Handle JSON and XML data with greater efficiency and flexibility.
- Spatial and Graph Enhancements: Oracle 23c improves spatial and graph data processing.
- Time-Series Data Handling: Oracle 23c excels at managing time-series data, crucial for IoT applications.
To create a JSON Table, use:
CREATE TABLE json_data (id NUMBER, data JSON);
Example: A logistics company leverages Oracle 23c’s time-series data handling to monitor and optimize the performance of their fleet of delivery vehicles in real-time.
DevOps and CI/CD Integration
Oracle 23c supports modern DevOps practices with better integration:
- Automated Testing and Deployment: Oracle 23c integrates with CI/CD pipelines for seamless testing and deployment.
- Version Control Integration: Track and manage database changes through version control systems.
- Enhanced Collaboration Tools: Work more effectively with integrated collaboration tools.
To deploy database changes with Liquibase, use:
liquibase update -changelogFile=changelog.xml
Example: Development teams use Oracle 23c’s DevOps features to ensure rapid, reliable deployment of new features in agile environments.
Real-Time Data Streaming
Oracle 23c excels at handling real-time data streams:
- Advanced Streaming Analytics: Process and analyze data as it arrives in real-time.
- Integration with Kafka and Pulsar: Seamlessly integrate Oracle 23c with popular streaming platforms.
- Enhanced Event Processing: Oracle 23c offers advanced tools for processing and reacting to data events.
To enable streaming with Oracle Streams, use:
EXEC DBMS_STREAMS_ADM.ADD_TABLE_RULES(
table_name => 'HR.EMPLOYEES',
streams_type => 'capture');
Example: Financial services firms use Oracle 23c’s real-time data streaming capabilities to detect and respond to fraudulent transactions instantly.
Big Data Integration
Oracle 23c integrates smoothly with big data platforms:
- Enhanced Hadoop and Spark Integration: Oracle 23c simplifies working with big data technologies.
- Improved ETL for Big Data: Efficiently extract, transform, and load large datasets.
- Scalable Storage Solutions: Oracle 23c provides scalable options for big data storage and processing.
To connect Oracle Database with Hadoop, use:
CREATE TABLE hadoop_table (id NUMBER, data CLOB)
ORGANIZATION EXTERNAL
(TYPE ORACLE_HIVE DEFAULT DIRECTORY default_dir);
Example: Telecom companies use Oracle 23c’s big data integration to analyze large volumes of network data, improving service delivery and customer satisfaction.
Native Blockchain Support
Oracle 23c introduces native blockchain features for secure, transparent transactions:
- Blockchain Tables: Create immutable tables to record transactions securely.
- Enhanced Auditing and Traceability: Oracle 23c ensures complete transparency and traceability for blockchain records.
- Interoperability with External Blockchains: Connect Oracle 23c with public and private blockchain networks.
To create a Blockchain Table, use:
CREATE BLOCKCHAIN TABLE bc_table (id NUMBER, data VARCHAR2(100))
NO DROP UNTIL 5 YEARS IDLE;
Example: Supply chain companies use Oracle 23c’s blockchain tables to track product movement, ensuring authenticity and reducing fraud.
Chatbots and Conversational AI
Oracle 23c supports the development of AI-driven chatbots:
- Enhanced Natural Language Processing: Oracle 23c improves NLP capabilities for better chatbot interactions.
- Integration with Oracle Digital Assistant: Seamlessly connect your database to Oracle’s chatbot platform.
- Advanced Contextual Understanding: Oracle 23c enables chatbots to understand and respond to context more effectively.
To create a Chatbot Skill in Oracle Digital Assistant, use:
BEGIN
ODA.create_skill(
skill_name => 'order_tracking',
description => 'Tracks orders based on user input',
model_type => 'NLP');
END;
Example: Retailers use Oracle 23c’s conversational AI features to provide customers with real-time order tracking through chatbots.
Hyperautomation
Oracle 23c embraces hyperautomation by integrating AI and machine learning:
- Automated Process Discovery: Oracle 23c identifies and automates repetitive tasks.
- Enhanced RPA Integration: Easily integrate with robotic process automation tools.
- AI-Driven Insights: Leverage AI to gain insights and automate decision-making.
To enable Hyperautomation with Oracle 23c, use:
EXEC DBMS_HYPERAUTO.ENABLE_AUTO_TASKS();
Example: Healthcare organizations use Oracle 23c’s hyperautomation features to streamline administrative processes, improving efficiency and reducing costs.
Edge Computing
Oracle 23c supports edge computing environments:
- Edge Database Deployments: Deploy Oracle 23c on edge devices for low-latency processing.
- Streamlined Data Synchronization: Synchronize data between edge and central databases efficiently.
- IoT Integration: Oracle 23c offers seamless integration with IoT devices and sensors.
To configure an Edge Database, use:
BEGIN
DBMS_EDGE.CONFIGURE_DATABASE(edge_id => 'edge1');
END;
Example: Manufacturing companies use Oracle 23c’s edge computing capabilities to monitor and analyze production line data in real-time, reducing downtime and optimizing output.
Conclusion
Oracle 23c represents a significant leap forward in database technology, offering powerful features that meet the demands of modern enterprises. From AI and hyperautomation to blockchain and edge computing, Oracle 23c provides a comprehensive, future-proof platform for businesses looking to stay ahead in a rapidly evolving digital landscape.
Related content