Greenplum Training

Categories Technical Courses
Course level:Intermediate

Greenplum training is designed to provide participants with the necessary skills to deploy, manage, and query large datasets using Greenplum Database. The course covers the basics of Greenplum architecture, data loading, query execution, and optimization. You will learn to effectively manage data pipelines, perform complex analytics, and optimize queries to work with massive amounts of data across a distributed environment.

Greenplum Training
Greenplum Training – Learn Online

Why should you choose Nisa For Greenplum Training?

Nisa Trainings is the best online training platform for conducting one-on-one interactive live sessions with a 1:1 student-teacher ratio. You can gain hands-on experience by working on near-real-time projects under the guidance of our experienced faculty. We support you even after the completion of the course and happy to clarify your doubts anytime. Our teaching style at Nisa Trainings is entirely hands-on. You’ll have access to our desktop screen and will be actively conducting hands-on labs on your desktop.

Job Assistance

If you face any problem while working on Greenplum Course, then Nisa Trainings is simply a Call/Text/Email away to assist you. We offer Online Job Support for professionals to assist them and to solve their problems in real-time.

The Process we follow for our Online Job Support Service:

  • We receive your inquiry for Online Job
  • We will arrange a telephone call with our consultant to grasp your complete requirement and the tools you’re
  • If our consultant is 100% confident in taking up your requirement and when you are also comfortable with our consultant, we will only agree to provide service. And then you have to make the payment to get the service from
  • We will fix the timing for Online Job Support as mutually agreed by you and our consultant.

Course Information

Greenplum Training
Duration: 25 Hours
Timings: Weekdays (1-2 Hours per day) [OR] Weekends (2-3 Hours per day)
Training Method: Instructor Led Online One-on-One Live Interactive
Sessions.

COURSE CONTENT :

Module 1: Introduction to Greenplum
  • Overview of Greenplum architecture and components
  • Greenplum’s role in data warehousing and big data analytics
  • Comparison of Greenplum with other database systems (e.g., PostgreSQL, Hadoop)
  • Basic setup and installation of Greenplum Database
Module 2: Greenplum Database Architecture
  • Master and segment servers
  • Data distribution and parallelism in Greenplum
  • Storage and memory management
  • Data replication and fault tolerance
  • Understanding of query planning and optimization in a distributed environment
Module 3: Greenplum SQL
  • SQL syntax for Greenplum
  • Data types and schema design
  • Creating tables and managing schemas
  • Working with indexes and constraints
  • Complex queries: Joins, subqueries, and nested selects
Module 4: Data Loading and Exporting
  • Bulk loading techniques using gpfdist and gpload
  • Loading data from flat files (CSV, TSV, etc.)
  • Using external tables to interact with non-relational data sources
  • Exporting data from Greenplum to other systems
Module 5: Query Optimization and Performance Tuning
  • Understanding the query execution plan
  • Identifying slow queries and performance bottlenecks
  • Optimizing queries for parallel execution
  • Indexing strategies and partitioning for performance improvement
  • Advanced optimization techniques and best practices
Module 6: Advanced Features
  • Greenplum Analytics Library (Pivotal Greenplum’s built-in functions)
  • Machine learning integration and using MADlib with Greenplum
  • Partitioning and managing large datasets
  • Query federation and data integration with external sources
Module 7: Security and Backup
  • Managing users and roles in Greenplum
  • Data encryption and securing sensitive information
  • Backup and disaster recovery planning
  • Monitoring Greenplum Database
Module 8: Greenplum Administration
  • Cluster management and monitoring
  • Segment server failure and recovery procedures
  • Performance monitoring tools and troubleshooting
  • Scaling Greenplum clusters
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