Technologies / Data & Analytics

Pivotal Greenplum for Developers

This training guides participants through advanced aspects of programming and query optimization in the Pivotal Greenplum environment. The program was carefully designed to combine theoretical foundations with practical experience in creating efficient database solutions. Participants learn the specifics of parallel processing, design optimal data structures, and write efficient queries utilizing the full potential of the MPP architecture. Sessions are conducted in workshop format where each topic is immediately verified through practical exercises on real use cases.

Issues

The training program covers in detail topics related to creating efficient solutions in Greenplum, including data structure design, query optimization, parallel processing, resource management, stored procedures, data integration, performance debugging, query monitoring, concurrent programming, and best practices for application development in the MPP environment.

Benefits

Training participants gain in-depth knowledge of programming in the Greenplum environment and practical skills in creating efficient solutions
They learn advanced query optimization techniques, methods for effective data structure design, and strategies for debugging performance problems
The training also develops the ability to write scalable code, capacity to utilize parallel processing mechanisms, and understanding of MPP architecture impact on application performance

Who is this training for?

This training was designed for professionals involved in application development and data analytics in the Greenplum environment

It is dedicated to SQL programmers working with large datasets, data analysts needing to optimize complex queries, application developers integrating with Greenplum, and ETL specialists designing data transformation processes

The program will also be valuable for solution architects responsible for data structure design and data engineers dealing with processing in the MPP environment

Prerequisites

Before starting the training, participants should have practical SQL programming experience and basic knowledge of database architecture
Knowledge of query optimization topics and general understanding of parallel processing concepts is required
Basic knowledge of PostgreSQL databases will also be helpful

Training program

Data structure design for parallel processing
Data types and their optimal use

Query optimization
Understanding execution plans
Optimization techniques for large datasets
Data partitioning and distribution
Indexing in distributed environments

Stored procedures and functions

External data source integration

Performance and scalability
Performance debugging techniques
Memory and resource optimization

Query monitoring and profiling

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

For Pivotal Greenplum for Developers we recommend: Before starting the training, participants should have practical SQL programming experience and basic knowledge of database architecture; Knowledge of query optimization topics and general understanding of parallel processing concepts is required; Basic knowledge of PostgreSQL databases will also be helpful.

What is the format and duration of this training?

The training lasts 3 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: This training was designed for professionals involved in application development and data analytics in the Greenplum environment; It is dedicated to SQL programmers working with large datasets, data analysts needing to optimize complex queries, application developers integrating with Greenplum, and ETL specialists designing data transformation processes; The program will also be valuable for solution architects responsible for data structure design and data engineers dealing with processing in the MPP environment.