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Oracle Autonomous قاعدة البيانات Professional (2025)

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Learn how to automate key operational tasks — provisioning, patching, scaling, backup, and recovery — while leveraging Oracle’s autonomous capabilities. You’ll discover how to optimize database performance, enhance security, and reduce downtime by tapping into AI-driven features. The course addresses challenges around manual administration, cost-efficiency, and high availability, giving learners the skills to simplify database operations and focus on innovation.

3 أيام

18 Lectures

تم النسخ

دورة المحتوى

Module 1: Course Overview and Getting Started

  • Getting Started with Oracle Autonomous Database
  • Objectives
  • Overview of Oracle Autonomous Database
  • Complete Database Automation
  • Key Features and Benefits
  • Offerings and Service Differentiation
  • Serverless vs Dedicated
  • Licensing and Pricing
  • Universal Credit Payment Structures

Module 2: Oracle Cloud Infrastructure and Autonomous Database Platform

  • Complete Cloud Infrastructure Platform Overview
  • Core Infrastructure Services
  • Database Services
  • Data Management & Data Science Capabilities
  • Managing, Securing, and Operating at Scale
  • Cloud-Native Applications and Analytics Support
  • Autonomous Database Serverless
  • Auto Scaling Setup
  • Provisioning

Module 3: Database Provisioning, Start/Stop, and Scaling

  • Provisioning an Autonomous Database
  • Starting and Stopping ADB
  • Scaling Options
  • Managing Users
  • Creating Users
  • Changing Admin Password
  • Managing Users via Database Actions
  • Database Consolidation with Elastic Resource Pools
  • Cloning and Refreshable Clones

Module 4: Moving Autonomous Database and Resource Management

  • Moving Autonomous Database Resources
  • Creating Alarms and Events
  • Defining Events, Topics, and Subscriptions
  • Creating Alarms (CPU Utilization)

Module 5: Backup, Recovery, and Data Guard

  • Autonomous Database Backups
  • Restoring and Recovering Databases
  • Manual Backups
  • Autonomous Data Guard
  • Enabling, Manual Switchover, Failover Options
  • Cross-Region Data Guard

Module 6: Dedicated Autonomous Database Infrastructure

  • Dedicated Infrastructure Overview
  • Primary Benefits and Workload Isolation
  • Dedicated Network Architecture
  • Resilience and Backup Options
  • Private Database Cloud and Exadata Infrastructure
  • Provisioning Dedicated Resources
  • Creating Container Databases and Autonomous Databases
  • IAM Roles and Policies for Dedicated Infrastructure
  • Monitoring Dedicated Infrastructure

Module 7: Management and Monitoring

  • Database Operations via Cloud Control Plane
  • Using REST APIs and OCI CLI for ADB Management
  • Service Monitoring and Notifications
  • Patching, Upgrades, and Transparent Application Continuity
  • ACLs and Private Endpoints
  • Network Security Groups

Module 8: Security and Compliance

  • Data Encryption and Key Management
  • End-to-End Data Protection
  • Auto Indexing and Automatic Optimization
  • Oracle Data Safe
  • Security Assessment
  • User and Entitlement Risk
  • Activity Auditing
  • Sensitive Data Discovery and Masking
  • Compartment Quotas and Service Limits

Module 9: Connectivity

  • ADB Connectivity Options
  • mTLS and TLS
  • JDBC Thin & UCP Connections
  • SQLNet Connections
  • Python, Node.js, and Other Scripting Languages
  • Using SQL Developer and Database Actions for Connection
  • Wallet Management and Expiration

Module 10: Disaster Recovery

  • Configuring Autonomous Data Guard
  • Fully Automated Data Protection
  • Cross-Region Data Guard for Dedicated ADB

Module 11: Autonomous Database Tools

  • Oracle Autonomous Database Tools Overview
  • Database Actions
  • SQL Developer, SQLcl, APEX, Data Studio, Graph Studio
  • Machine Learning Notebooks
  • APEX for Rapid App Development
  • Data Load, Data Share, Catalog

Module 12: Oracle Machine Learning and AutoML

  • Introduction to AutoML
  • OML4Py and AutoML UI Pipeline
  • Algorithm and Feature Selection
  • Model Tuning and Business Model Integration
  • Analytic Views (AVs) for Optimized Query Processing
  • Data Analysis and Demos

Module 13: Data Insights and Analytics

  • Using Data Studio for Analytics
  • Search, Discover, and Understand Data
  • Simplifying Analytic Workflows
  • Demos: Data Insights

Module 14: Generative AI and Select AI

  • Autonomous Database Select AI Overview
  • Natural Language Queries
  • Generative AI Use Cases
  • Demonstrations of Select AI
  • Translating Natural Language into SQL
  • Building Conversational and NL Query Apps
  • Enhancing AI with Private Data and Context
  • SQL Query Generation Flow
  • Key Takeaways

Module 15: Autonomous JSON Database

  • Converged Database and JSON Capabilities
  • JSON Workloads, Pricing, and Performance
  • Duality Views for App Development
  • MongoDB Compatibility and Oracle API for MongoDB
  • Document Collections and SQL Flexibility
  • Summary

Module 16: Oracle Text

  • Oracle Text Overview
  • Full Text Indexes and Queries
  • Indexing Pipeline and Faceted Navigation
  • Text Analytics
  • Oracle Text in Autonomous Database

Module 17: Hybrid Vector Index (23AI)

  • Hybrid Vector Index Overview
  • JSON Paths to Vectorize
  • Hybrid Vector Index Capabilities

Module 18: Advanced Data Management

  • Spatial Data Management in ADB
  • Spatial Studio, Geocoding, and Analysis
  • Graph Database Management in ADB
  • Property Graph Model
  • PGQL Queries
  • Graph Analytics and Prebuilt Algorithms
  • Graph Studio

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