Oracle Database 19c: Partitioning in Data Warehousing Course Overview

Oracle Database 19c: Partitioning in Data Warehousing Course Overview

Unlock the full potential of data warehousing with our Oracle Database 19c: Partitioning in Data Warehousing course. On Day 1, you will gain an in-depth understanding of data warehousing and its necessity. Discover the benefits of partitioning and explore various partitioning methods like range, list, hash, and composite partitioning. Delve into strategies such as time-based and key-based partitioning. Learn best practices for design and performance optimization, and manage partitions through hands-on labs. We'll also cover the new features of Oracle Database 19c and offer real-world case studies that illustrate practical applications. End the day with a Q&A session to solidify your knowledge.

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  • Live Training (Duration : 8 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

You can request classroom training in any city on any date by Requesting More Information

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Course Prerequisites

To successfully undertake the Oracle Database 19c: Partitioning in Data Warehousing course, students should have the following minimum prerequisites:


  • Basic understanding of database concepts and SQL.
  • Familiarity with Oracle Database architecture and management.
  • Prior experience with database design and development.

These foundational skills will help you grasp the course content effectively and apply partitioning techniques in real-world data warehousing scenarios.


Target Audience for Oracle Database 19c: Partitioning in Data Warehousing

The Oracle Database 19c: Partitioning in Data Warehousing course equips IT professionals with partitioning techniques to optimize data warehousing performance. The course is ideal for those seeking to enhance their database management skills.


  • Database Administrators
  • Data Warehouse Engineers
  • IT Managers
  • Data Architects
  • Database Developers
  • System Architects
  • Analytics Professionals
  • IT Consultants
  • Data Scientists
  • Enterprise Data Managers
  • Big Data Specialists


Learning Objectives - What you will Learn in this Oracle Database 19c: Partitioning in Data Warehousing?

Introduction

The Oracle Database 19c: Partitioning in Data Warehousing course aims to provide an in-depth understanding of partitioning concepts, methods, and best practices, along with hands-on experience to optimize data warehousing operations for performance and efficiency.

Learning Objectives and Outcomes

  • Understand Data Warehousing: Grasp the fundamental need, key concepts, and components of data warehousing.
  • Introduction to Partitioning: Learn what partitioning is and its benefits in the context of data warehousing.
  • Partitioning Methods: Explore different partitioning methods including range, list, hash, and composite partitioning.
  • Partitioning Strategies: Implement time-based, key-based, and hybrid partitioning strategies effectively.
  • Best Practices: Understand design considerations and techniques for performance optimization.
  • Partition Maintenance: Master tasks such as adding, dropping, splitting, merging partitions, and partition compression.
  • Oracle Database 19c Enhancements: Discover new features and enhancements in partitioning available in Oracle Database 19c.
  • Hands-On Experience: Gain practical experience by setting up partitioned tables, performing maintenance tasks, and optimizing queries.
  • Case Studies and Real-World Examples: Analyze partitioning strategies through

Target Audience for Oracle Database 19c: Partitioning in Data Warehousing

The Oracle Database 19c: Partitioning in Data Warehousing course equips IT professionals with partitioning techniques to optimize data warehousing performance. The course is ideal for those seeking to enhance their database management skills.


  • Database Administrators
  • Data Warehouse Engineers
  • IT Managers
  • Data Architects
  • Database Developers
  • System Architects
  • Analytics Professionals
  • IT Consultants
  • Data Scientists
  • Enterprise Data Managers
  • Big Data Specialists


Learning Objectives - What you will Learn in this Oracle Database 19c: Partitioning in Data Warehousing?

Introduction

The Oracle Database 19c: Partitioning in Data Warehousing course aims to provide an in-depth understanding of partitioning concepts, methods, and best practices, along with hands-on experience to optimize data warehousing operations for performance and efficiency.

Learning Objectives and Outcomes

  • Understand Data Warehousing: Grasp the fundamental need, key concepts, and components of data warehousing.
  • Introduction to Partitioning: Learn what partitioning is and its benefits in the context of data warehousing.
  • Partitioning Methods: Explore different partitioning methods including range, list, hash, and composite partitioning.
  • Partitioning Strategies: Implement time-based, key-based, and hybrid partitioning strategies effectively.
  • Best Practices: Understand design considerations and techniques for performance optimization.
  • Partition Maintenance: Master tasks such as adding, dropping, splitting, merging partitions, and partition compression.
  • Oracle Database 19c Enhancements: Discover new features and enhancements in partitioning available in Oracle Database 19c.
  • Hands-On Experience: Gain practical experience by setting up partitioned tables, performing maintenance tasks, and optimizing queries.
  • Case Studies and Real-World Examples: Analyze partitioning strategies through