Oracle Database 11g: Administer a Data Warehouse Course Overview

Oracle Database 11g: Administer a Data Warehouse Course Overview

The Oracle Database 11g: Administer a Data Warehouse course is a comprehensive program designed to equip learners with key skills in managing and optimizing data warehouses using Oracle's technology. The course addresses the intricacies of data warehouse deployment, design, and tuning, ensuring that students can effectively manage large volumes of data for business intelligence.

Starting with an introduction to data warehouses, the course progresses through design considerations, highlighting the importance of schema layout and summarization strategies. Learners will gain a solid grasp of partitioning basics and parallelism concepts to improve query performance and data management.

Modules on ETL (Extraction, Transformation, and Loading) processes are critical for data integration, and lessons on materialized views, dimensions, and query rewrite mechanisms demonstrate how to enhance data retrieval efficiency. The course also touches upon advanced tools like the SQL Access Advisor, compression techniques, and resumable sessions to further refine data warehouse administration.

By the end of the course, participants will have a robust understanding of administering a data warehouse environment, positioning them to effectively manage and scale their organization's data storage and retrieval systems.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

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  • Live Online Training (Duration : 32 Hours)
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  • Live Online Training (Duration : 32 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

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Course Prerequisites

To ensure that participants are adequately prepared to take the "Oracle Database 11g: Administer a Data Warehouse" course and can fully benefit from the curriculum offered by Koenig Solutions, the following minimum prerequisites are recommended:

  • Basic understanding of database concepts, including relational database design and normalization.
  • Familiarity with SQL and experience writing queries, including SELECT, INSERT, UPDATE, and DELETE statements.
  • Knowledge of Oracle Database fundamentals, such as the architecture of an Oracle Database, basic database administration tasks, and an understanding of Oracle Database 11g features.
  • Experience with Oracle Database management and maintenance, including creating and managing tablespaces and schema objects.
  • An understanding of data warehousing concepts and the role of a data warehouse in a business environment.
  • Basic knowledge of operating systems, such as Windows or Linux, on which Oracle Database is installed.

Prior experience working with Oracle Database 11g or completion of courses related to Oracle Database administration would be advantageous but is not mandatory. These prerequisites are designed to ensure a successful learning experience without assuming advanced expertise.

Target Audience for Oracle Database 11g: Administer a Data Warehouse

Learn to manage large datasets effectively with Koenig Solutions' Oracle Database 11g: Administer a Data Warehouse course, designed for IT professionals focused on data management.

  • Database Administrators

  • Data Warehouse Administrators

  • IT Managers overseeing data storage solutions

  • Business Intelligence Professionals

  • Data Analysts

  • ETL Developers

  • Data Architects

  • Database Developers concerned with performance tuning

  • Technical Consultants specializing in Oracle Database solutions

  • Systems Engineers and Architects designing data warehousing systems

  • IT Professionals aspiring to upgrade their skills in database management

Learning Objectives - What you will Learn in this Oracle Database 11g: Administer a Data Warehouse?

  1. Introduction: This course equips participants with comprehensive skills to manage and optimize an Oracle Data Warehouse, focusing on deployment, design, tuning, and ETL processes.

  2. Learning Objectives and Outcomes:

  • Understand the deployment process and architecture of an Oracle Data Warehouse.
  • Gain insights into effective data warehouse design and the various considerations for optimal performance.
  • Learn the basics of partitioning and its importance in managing large data sets within a data warehouse.
  • Comprehend the concepts of parallelism and how to implement parallel operations to improve data processing speeds.
  • Master the ETL process, including data extraction, transportation, loading, and transformation techniques specific to Oracle Database 11g.
  • Develop skills to create, manage, and refresh materialized views to enhance query performance and data summarization.
  • Explore the implementation and management of dimensions within the data warehouse for improved data analysis.
  • Understand query rewrite mechanisms and how they can be leveraged for efficient query execution.
  • Learn to use the SQL Access Advisor to optimize queries and how to implement Oracle compression and resumable sessions for better resource utilization.
  • Acquire the ability to monitor, troubleshoot, and tune the data warehouse to maintain high performance and reliability.