Oracle 19c Database Tuning (TTOR21519)
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About This Course
Course Description:
Dive into the world of database optimization with our hands-on Oracle 19c Database Tuning course. Aimed at entry-level learners, this course is designed to provide an in-depth understanding of data management and manipulation techniques. With an understanding of Oracle Database Tuning, you can contribute significantly to the efficiency of your organization’s data infrastructure and the successful execution of data-driven strategies.
Our five-day course, led by an Oracle Certified instructor, combines interactive lectures, engaging discussions, and practical lab activities. Topics covered include Oracle Database Architecture, Query Optimizer, Oracle’s Tuning Features, Container and Pluggable Databases, and Oracle’s Real Application Testing (RAT) among others. About half of the course time is devoted to hands-on lab exercises, where you’ll apply your newly learned skills in real-life scenarios. The labs provide you with the opportunity to perform tasks like optimizing queries, setting up and tuning databases, and using tools like the SQL Tuning Advisor and Automatic Workload Repository.
Upon completion of this course, you’ll be equipped to optimize queries, manage databases efficiently, utilize Oracle’s Heat Map, monitor a service, and use the Automatic Workload Repository (AWR). These critical skills enable you to maintain high-performing databases that are crucial to your organization’s operations.
NOTE: This training is NOT Official Oracle University training. This is independent, adjustable content that aligns with current topics, skills and tools that participants need to excel in these areas. This course is for 19c.
Course Agenda
Please note that this list of topics is based on our standard course offering, evolved from typical industry uses and trends. We’ll work with you to tune this course and level of coverage to target the skills you need most. Topics, agenda and labs are subject to change, and may adjust during live delivery based on audience interests, skill-level and participation.
- Overview Oracle Database Architecture
- Instance Definition
- Define SGA
- Define Background Processes
- Datafile Definition
- Query Optimizer
- SQL Parsing
- Optimizing Terms
- Optimizing Methods
- Query Plan Generation
- Query Plan Control
- Tuning Container Databases and Pluggable Databases
- Pluggable tuning parameters
- Define Container tuning structure
- Using PDB$SEED
- Create a new PDB
- Plug and unplug a PDB
- Oracle Tuning features
- Identifying and Using Oracle’s Heat Map
- 19c Compression Levels and Types
- Evaluating Execution Plans
- Defining SQL execution plans
- Automatic Workload Repository
- Reading execution plans
- Oracle Tuning Tools
- Monitoring tools overview
- Enterprise Manager
- Dynamic Performance Views
- Automatic Workload Repository
- Sql Tuning Advisor
- SQL Access Advisor
- DB operation Tuning
- DB operation Active Reporting
- Automatic Database Diagnostic Monitor
- Using Automatic Workload Repository
- Defining AWR
- AWR Settings
- Creating AWR Baselines
- Metrics, Alerts, and Thresholds
- Defining Metrics
- Setting Alerts
- Setting Corrective Action
- User Defined Metrics
- Metric Dynamic Views
- Join Types
- Nested Loops Join
- Sort Merge join
- Hash Join and Cartesian Join
- Equijoins and Nonequijoins
- Outer Joins
- Semijoins
- AWR Using Baselines
- Creating AWR baselines
- Creating AWR Repeating baselines
- Moving Window Baseline
- Additional AWR performance tools
- Automatic Maintenance Tasks
- Segment Advisor
- Statistics Gathering
- Automatic Tuning Optimizer
- Automatic Database Diagnostic Monitor
- Active Session History (ASH)
- Optimizer Statistics
- Optimizer Statistics Overview
- Table and Index Statistics
- Statistic Preferences
- Statistics Gathering
- e) Locking Statistics, Export/Import Statistics
- Pending and published statistics
- Optimizer Hints
- Optimizer Paths
- Cost Base Optimization
- Monitoring a Service
- Overview of what is an Oracle Service
- Creating an Oracle Service for Single instance and RAC
- Monitoring a Service
- Resource Management and a Service
- Enterprise Manager and a Service
- Bind Variables and database parameters
- Bind variable definition
- Cursor_sharing parameter
- Adaptive Cursor Sharing
- Oracle’s Real Application Testing (RAT)
- Sql Performance Analyzer overview
- Sql Performance Analyzer Options
- Database Parameter changes
- Database version changes
- Creating SQL Tuning Sets
- Database Replay Overview
- Database Replay Configuration
- Database Replay Options
- SQL Tuning Advisor
- SQL Tuning Advisor: Overview
- SQL Tuning Advisor Limited Mode
- Sql Tuning Advisor Comprehensive mode
- Sql Tuning Advisor Comprehensive mode
- Sql Tuning Profiles
- SQL Access Advisor
- SQL Access Advisor: Overview
- Sql Access Advisor options
- SQL Access Advisor and Sql Tuning Sets
- Sql Access Advisor and AWR
- Results and Implementation
- Automatic Sql Tuning
- Automatic Sql Tuning Maintenance Task
- Automatic Tuning Optimization implementation(ATO)
- Automatic Tuning Optimization Results
- Enable/Disable Automatic Tuning Optimization
- Sql Plan Management
- Sql plan Management and baseline overview
- Enable sql plan management
- Loading Sql Plan baselines into the SGA
- Adaptive plan management
- Shared Pool Tuning
- Shared pool architecture
- Shared pool parameters
- Library Cache
- Dictionary cache
- Large pool considerations and contents
- Tuning the database buffer cache
- Database buffer cache overview
- Database buffer cache parameters
- Oracle and Dirty reads and writes
- Automatic Shared Memory Management (ASMM)
- Buffer Cache goals and responsibility
- Buffer Cache pools
- Tuning the PGA (Program Global Area)
- PGA Overview
- PGA Database Parameters
- Temporary Segments
- Temporary Tablespace
- Sizing the PGA
- Automatic Memory Management (AMM)
- Oracle’s Automatic Memory Management Overview
- Database Auto-tuned Parameters
- Database Non Auto-tuned Parameters
- Automatic Memory Management Hints and Sizing suggestions
- AMM versus ASMM
- Automatic Storage Management
- Overview of ASM
- Definition of Grid Infrastructure
- ASM Instance
- ASM Diskgroups
- ASM Diskgroup parameters and templates
- ASMCMD
Learning Objectives
Pre-requisites
- This course is geared for professionals seeking a solid foundation in database management and optimization. The training is perfect for experiences database administrators / DBAs, data analysts, and software developers who are involved in data-intensive operations or wish to enhance their skills in database tuning.
- Familiarity with basic database concepts such as tables, records, and relationships between data is crucial before diving into the specifics of Oracle Database Tuning.
- Practical knowledge of basic SQL commands like SELECT, INSERT, UPDATE, and DELETE. Knowing how to write simple SQL queries will provide a solid foundation for learning more advanced optimization techniques.
- A general understanding of how Oracle Database functions, including its structure and primary components.
- Attendees should have skills equivalent to or should have attended this course ,TTOR20519 Oracle 19c Database Administration I (Oracle DBA I), as a pre-requisite.
Target Audience
- This intermediate-level course requires students have incoming experience working with Oracle Database 18 or higher.
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