SAP SYBASE IQ ADVANCED ADMINISTRATION
Délka: 4 dny
Cíle:
1. Implement an optimum server configuration through the use of disk management, memory allocation, and database options Understand the Information Lifecycle Management process
2. Understand the effects of creating system logins, nodes, dbspaces and objects in a Multiplex environment
3. Optimize data provisioning into IQ using bulk loading and row level versioning
4. Manage unstructured data in IQ
5. Implement full text search in IQ
6. Extract and load data into SAP IQ from a variety of external remote sources using Component Integration Services (Smart Data Access)
7. Implement advanced security controls, including encryption and Kerberos
8. Monitor IQ using sp_iqsysmon and other tools
9. Troubleshoot and repair an IQ database
10. Describe the best practices in administering SAP IQ
Agenda:
1. SAP IQ Overview
SAP IQ Overview
2. Sizing and Configuration
Database Sizing Configurations
Memory Considerations
CPU and Thread Considerations
Network Considerations
Database Options
3. Information Lifecycle Management
IQ Dbspaces
Managing Dbspaces
Object Positioning
Table Partitioning
Information Lifecycle Management
4. Multiplex Management
Multiplex Architecture
Managing Multiplex Servers
Running Multiplex Transactions
Running DDL Commands
Handling Dynamic Collisions
5. Data Provisioning
Data Provisioning
Bulk Loading Best Practices
Data Copy Best Practices
Row Level Versioning
6. Unstructured Data Analytics
Unstructured Data Analytics
Full Text Search
Importing and Exporting LOB Data
Managing LOB Data
7. Remote Data Access
SAP IQ and Remote Data
Setting Up Remote Access
Query Processing
Troubleshooting Remote Data Access
8. Advanced Security Topics
SAP IQ Security Management
Enhancing Data Security
Data Encryption
SAP IQ Advanced Security
9. Advanced Monitoring and Diagnostics
SAP IQ Diagnostic Output
Analyzing Hardware Resource Allocation
Using the sp_iqsysmon Monitor
10. Advanced Troubleshooting
Troubleshooting IQ
Advanced Database Repair
Advanced Database Recovery
11. Best Practices
Data Modeling
Tables, Datatypes and Indexes
SQL Development
System Configuration