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The PostgreSQL Performance Tuning course is an in-depth program designed to equip learners with the skills necessary to optimize the performance of PostgreSQL databases. This comprehensive course covers various aspects of tuning and monitoring PostgreSQL instances to ensure they operate efficiently and handle high loads effectively. Starting with an introduction to PostgreSQL and its architecture, the course proceeds to cover installation, configuration, security, and the basics of performance tuning.
Learners will delve into advanced topics such as Indexing strategies, Query optimization, Configuration tweaks, and the use of Performance monitoring tools. Understanding and implementing Database partitioning, Replication, and devising robust Backup and recovery strategies are also key components of the curriculum. By the end of the course, participants will be well-versed in PostgreSQL performance tuning, enabling them to identify bottlenecks, optimize queries, configure databases for high performance, and ensure Reliability and high availability of PostgreSQL systems.
Successfully delivered 3 sessions for over 14 professionals
Purchase This Course
USD
View Fees Breakdown
Course Fee | 1,450 |
Total Fees |
1,450 (USD) |
USD
View Fees Breakdown
Course Fee | 1,150 |
Total Fees |
1,150 (USD) |
USD
View Fees Breakdown
Flexi Video | 16,449 |
Official E-coursebook | |
Exam Voucher (optional) | |
Hands-On-Labs2 | 4,159 |
+ GST 18% | 4,259 |
Total Fees (without exam & Labs) |
22,359 (INR) |
Total Fees (with exam & Labs) |
28,359 (INR) |
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♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
Koenig Solutions' PostgreSQL Performance Tuning course is designed for database professionals seeking to optimize PostgreSQL databases.
Target audience for the course includes:
Gain in-depth skills in optimizing PostgreSQL databases with this comprehensive course covering performance tuning, indexing strategies, query optimization, monitoring, replication, and backup strategies.