Greenplum Database for Developer and Administrator in UK

This course provides a comprehensive introduction to Greenplum Database (GPDB), a massively parallel processing (MPP) data warehouse platform based on PostgreSQL. Participants will learn how to design, query, manage, and optimize data in Greenplum for large-scale analytics. The course blends concepts of SQL development, data modeling, and system administration to prepare learners for real-world enterprise deployments.

Welcome to the official Greenplum Database for Developer and Administrator certification program. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge in in UK. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 28 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

• Basic knowledge of relational databases and SQL

• Familiarity with PostgreSQL (preferred but not mandatory)

• Understanding of Linux commands and shell scripting (for admin modules)

• Exposure to data warehousing or analytics concepts (helpful)

• Proficiency in MPP database design and data distribution strategies

• Advanced SQL for analytics (window functions, CTEs, OLAP)

• Hands-on ETL/data loading techniques for big data

• Query optimization & tuning for parallel workloads

• Database administration skills (install, configure, secure)

• Ability to manage high availability and disaster recovery in Greenplum

By the end of the course, participants will be able to:

1. Understand Greenplum’s architecture and MPP design.

2. Create, manage, and query distributed and partitioned tables.

3. Load and unload large-scale data efficiently.

4. Use advanced SQL and in-database analytics capabilities.

5. Administer and monitor Greenplum clusters.

6. Optimize performance for queries and workloads.

7. Implement backup, recovery, and high availability strategies.