Greenplum Course Overview

The Greenplum course is designed to empower learners with the skills and knowledge necessary to master the Greenplum Database, an advanced, fully featured, open-source data warehouse. It provides a comprehensive understanding of how to leverage Greenplum for large-scale analytics processing.

Module 1: INTRODUCTION sets the stage by providing an overview of Greenplum's architecture and introduces the psql CLI utility, essential for interacting with the database.

Module 2: DEFINING AND SECURING THE DATABASE dives into Database objects with DDL, DML, and DQL, ensuring that learners understand how to define and secure a Greenplum database effectively.

Module 3: Data loading AND DISTRIBUTION explains how to efficiently implement Table storage models, manage Data loading, and utilize Table partitioning for optimized data distribution.

Module 4: DATA MODELING & DESIGN focuses on the best practices in data modeling and the Physical design decisions that impact performance.

Module 5: PERFORMANCE ANALYSIS & TUNING teaches learners how to use the Pivotal Query Optimizer, understand different SQL joins, profile queries, and apply Query tuning and Indexing strategies for optimal performance.

Module 6: ONLINE ANALYTICAL PROCESSING, Window functions covers advanced analytics with Window functions, built-in functions, and the creation of User-defined functions and types.

By completing this course and aiming for Greenplum certification, learners will be well-prepared to build, manage, and optimize Greenplum databases for high-performance data analytics.