Oracle Essbase 11.1.2 Bootcamp Ed 3 Course Overview

Oracle Essbase 11.1.2 Bootcamp Ed 3 Course Overview

The Oracle Essbase 11.1.2 Bootcamp Ed 3 course is an intensive training program designed to equip learners with the essential skills for building, administering, and managing Oracle Essbase databases. This comprehensive course covers a wide range of topics from the fundamentals of Essbase to advanced techniques for data analysis and calculation.

Starting with an Essbase Overview, the course introduces participants to the architecture and core concepts of Oracle Essbase. It then progresses through Designing Applications and Databases, where learners grasp the principles of creating efficient Essbase applications. The course delves into Designing Data Descriptor Dimensions, emphasizing the importance of dimension design in data organization and retrieval.

Participants will learn to Optimize Data Descriptor Dimensions and Develop Dimension Designs for enhanced performance, followed by modules on creating both basic and advanced Dimension Build Rules Files. The course teaches how to Load Data effectively and introduces the use of Smart View for data analysis, including Creating Reports using this powerful tool.

Further, the course tackles Data Storage and Calculation, Creating Calculation Scripts, and Controlling the Calculation Process, ensuring learners understand how to manage and manipulate data within the Essbase environment. Advanced topics include Referencing Members in Calculations, Developing and Testing Complex Calculation Scripts, and techniques for Normalizing Data.

The bootcamp also covers the creation and analysis of Attribute Dimensions, and the examination of Varying Attributes, as well as Analyzing Text and Dates to provide a rounded skill set for handling diverse data types within Essbase.

By the end of the course, participants will have gained valuable hands-on experience, enabling them to efficiently use Oracle Essbase for business intelligence and data analytics tasks.

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

Purchase This Course

Fee On Request

  • Live Online Training (Duration : 40 Hours)
  • Per Participant
  • Guaranteed-to-Run (GTR)
  • date-img
  • date-img

♱ Excluding VAT/GST

Classroom Training price is on request

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

  • Live Online Training (Duration : 40 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

Request More Information

Email:  WhatsApp:

Koenig's Unique Offerings

images-1-1

1-on-1 Training

Schedule personalized sessions based upon your availability.

images-1-1

Customized Training

Tailor your learning experience. Dive deeper in topics of greater interest to you.

images-1-1

4-Hour Sessions

Optimize learning with Koenig's 4-hour sessions, balancing knowledge retention and time constraints.

images-1-1

Free Demo Class

Join our training with confidence. Attend a free demo class to experience our expert trainers and get all your queries answered.

Course Prerequisites

To ensure that participants have the best possible learning experience and outcomes in the Oracle Essbase 11.1.2 Bootcamp Ed 3 course, the following minimum prerequisites are recommended:


  • Basic understanding of database concepts, including relational and multidimensional databases.
  • Familiarity with spreadsheet software, such as Microsoft Excel, particularly in the context of data analysis.
  • Some experience with or exposure to data modeling concepts, as Essbase is fundamentally a multidimensional database environment.
  • An introductory knowledge of SQL and how databases work can be helpful, though not strictly necessary.
  • General computer literacy and the ability to navigate the operating system being used for the course (typically Windows).
  • Willingness to learn complex concepts and apply them to business data analysis.

These prerequisites are aimed at ensuring you can fully engage with the course content and practical exercises. They are not intended to be barriers to entry but rather to set you up for success in mastering the powerful capabilities of Oracle Essbase.


Target Audience for Oracle Essbase 11.1.2 Bootcamp Ed 3

Oracle Essbase 11.1.2 Bootcamp Ed 3 is designed for professionals managing and developing business analytics and multidimensional data management.


Target Audience for Oracle Essbase 11.1.2 Bootcamp Ed 3:


  • Business Intelligence Developers
  • Data Analysts
  • Financial Analysts
  • Database Administrators
  • IT Professionals working on data warehousing
  • BI Consultants
  • EPM (Enterprise Performance Management) Strategy Professionals
  • Application Developers
  • System Architects
  • Technical Consultants involved in financial and analytics reporting


Learning Objectives - What you will Learn in this Oracle Essbase 11.1.2 Bootcamp Ed 3?

Introduction to Course Learning Outcomes:

This Oracle Essbase 11.1.2 Bootcamp Ed 3 course equips students with the expertise to design, optimize, and manage Essbase databases effectively, ensuring efficient data analysis and reporting.

Learning Objectives and Outcomes:

  • Understand the fundamentals of Oracle Essbase, including its architecture and how it integrates with other Oracle products.
  • Learn to design Essbase applications and databases that align with business requirements.
  • Gain proficiency in creating and optimizing data descriptor dimensions for improved database performance.
  • Develop skills in building dimension designs and setting up dimension build rules files, both basic and advanced.
  • Master the process of loading data into Essbase databases and managing data storage efficiently.
  • Become adept at using Smart View to initiate data queries and generate dynamic reports.
  • Acquire the ability to write and debug complex calculation scripts to customize data calculations and analyses.
  • Learn to normalize data to ensure consistency and comparability across different datasets.
  • Create attribute dimensions to enrich analyses with additional descriptive data.
  • Analyze varying attributes, text, and dates to extract deeper insights from business data.