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Big Data Greenplum DBA Training Course

This course provides an in-depth understanding of Greenplum Database (GPDB), an advanced, massively parallel processing (MPP) database…

This course provides an in-depth understanding of Greenplum Database (GPDB), an advanced, massively parallel processing (MPP) database designed for big data analytics. Participants will learn how to install, configure, manage, and optimize Greenplum clusters, ensuring high performance, scalability, and reliability for large-scale data environments.

What Will You Learn?

  • ✔ Understand Greenplum’s architecture, MPP processing, and use cases.
  • ✔ Install & configure Greenplum Database in single and multi-node environments.
  • ✔ Administer and monitor Greenplum clusters efficiently.
  • ✔ Optimize performance using indexing, partitioning, and query tuning.
  • ✔ Implement high availability and disaster recovery strategies.
  • ✔ Manage user roles, security, and access controls.
  • ✔ Automate maintenance tasks and perform troubleshooting effectively.

Course Curriculum

1: Introduction to Greenplum Database
✔ Understanding the architecture of Greenplum (MPP, segments, and master nodes). ✔ Greenplum vs. traditional relational databases. ✔ Common use cases for analytics and big data processing.

2: Greenplum Installation & Configuration
✔ System requirements and pre-installation setup. ✔ Installing Greenplum on a multi-node cluster. ✔ Configuring Greenplum components (Master, Segments, and Interconnects).

3: Database Administration & Maintenance
✔ Creating and managing databases, schemas, and tables. ✔ Configuring roles, privileges, and access control. ✔ Automating database maintenance and backups.

4: Query Optimization & Performance Tuning
✔ Understanding query execution plans and optimizer. ✔ Indexing strategies and partitioning techniques. ✔ Resource queue and workload management for performance improvement.

5: High Availability & Disaster Recovery
✔ Implementing Greenplum high availability with segment mirroring. ✔ Configuring backup and recovery strategies. ✔ Monitoring and managing failover scenarios.

6: Advanced Greenplum Features & Troubleshooting
✔ Using gp_toolkit for system diagnostics. ✔ Troubleshooting connectivity, query failures, and system bottlenecks. ✔ Best practices for scaling and managing Greenplum in production environments.

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