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Workday HCM Demo New Batches Starting from Monday... 13-11-2017
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Greenplum was a big data analytics company headquartered in San Mateo, California. Greenplum's products include its Unified Analytics Platform, Data Computing Appliance, Analytics Lab, Database, HD and Chorus.EMC Greenplum debuts its own Hadoop distribution, Pivotal HD, which marries Greenplum's massively parallel processing database technology with the Apache Hadoop framework to create a technology called HAWQ.
  • Basic UNIX or Linux command-line navigation and administration skills
  • Database query language basics, including basic SQL knowledge for accessing database objects
  • Fundamental relational database concepts
  • It is a 20 days program and extends up to 2hrs each.
  • The format is 40% theory, 60% Hands-on.

  • It is a 5 days program and extends up to 8hrs each.
  • The format is 40% theory, 60% Hands-on.
    Private Classroom arranged on request and minimum attendies for batch is 4.
course content
  • Greenplum Fundamental Concepts
    • Basics of Data Warehousing
    • Greenplum Concepts, Features, and Benefits
    • Greenplum Architecture
      • Shared Nothing and MPP Implementation
  • Database Installation and Initialization
    • Systems Preparation and Verification
    • Greenplum Database Initialization
  • Greenplum Database Tools, Utilities, and Internals
    • PSQL Client and Greenplum Utilities
    • Greenplum Performance Monitor
    • Greenplum Database Server Configuration
    • Greenplum Database Internals
  • Defining and Securing the User Database
    • Data Definition Language
    • Data Manipulation and Data Query Language
    • Roles, Privileges, and Resources
  • Data Loading and Distribution
    • Data Loading
    • Table Partitioning
  • Database Management and Archiving
    • Managing the Greenplum Database
    • Backup and Restores
  • Data Modeling and Design
    • Data Modeling
    • Physical Design Decisions
  • Performance Analysis and Tuning
    • JOIN Tables
      • Types and Methods
    • Database Tuning
    • EXPLAIN Plan
      • Analyzing Queries
    • Improve Performance with Statistics
    • Indexing Strategies
  • Developing Reports Using Advanced SQL
    • Advanced Reporting Using Online Analytic Processing (OLAP)
    • PostgreSQL Functions
    • Advanced SQL Topics and Performance Tips
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(1) Workday Technical Demo Training

Demo Schedule : 09:30 P.M EST / 08:30 P.M CST / 6:30 P.M PST on 13th NOV & 07:00 A.M IST on 14th NOV

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