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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.
Purchase This Course
♱ 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
The Greenplum course by Koenig Solutions offers a comprehensive dive into Greenplum Database, targeting IT professionals focused on data management and analytics.
In the Greenplum course, participants will gain a comprehensive understanding of Greenplum's MPP architecture, database design, data loading, query optimization, and performance tuning to effectively manage and analyze large-scale datasets.
