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Oracle R Enterprise Essentials Course Overview

Oracle R Enterprise Essentials Course Overview

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The Oracle R Enterprise Essentials course is designed to equip learners with the knowledge and skills needed to utilize Oracle R Enterprise (ORE), a component of the Oracle Advanced Analytics option. ORE integrates the open-source R language with Oracle Database, providing users with powerful analytics capabilities within the database environment.

Throughout the course, learners will discover how Oracle R enhances R's statistical capabilities by allowing transparent execution of R scripts on database-resident data, reducing data movement and preserving data security. Topics covered include the basics of the R language, database interaction using ORE, advanced graphing techniques, in-database predictive analytics, and executing R scripts in parallel for performance gains. The course also delves into using the ORE transparency layer for data manipulation and the ROracle package for direct database access.

By mastering these concepts, learners will be well-equipped to leverage Oracle R Enterprise in their data analysis tasks, gaining insights directly from their Oracle R databases and enhancing their data-driven decision-making processes.

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Course Prerequisites

To successfully undertake training in the Oracle R Enterprise Essentials course, the following minimum prerequisites are recommended:


  • Basic understanding of database concepts, including SQL (Structured Query Language).
  • Familiarity with the R programming language, including data structures, basic programming concepts, and data manipulation.
  • Knowledge of statistical methods and data analysis techniques.
  • Experience with any programming or scripting language is beneficial, as it aids in understanding R scripting.
  • Access to a computer system capable of running Oracle R Enterprise and related software.

These prerequisites are intended to ensure that learners have the foundational knowledge required to effectively engage with the course content and participate in the hands-on exercises. However, motivated individuals with a commitment to learning can also succeed in this course with the support of our expert trainers.


Target Audience for Oracle R Enterprise Essentials

Oracle R Enterprise Essentials is designed for data analysts and statisticians integrating R with Oracle Database for enhanced analytics.


  • Data Analysts and Scientists
  • Statisticians
  • Database Administrators
  • Data Engineers
  • BI Professionals
  • IT Professionals with a focus on data analytics
  • Advanced Analytics Managers
  • Oracle Database Users
  • R Programmers seeking to leverage Oracle Database
  • Data Warehousing Specialists
  • Research Scientists in need of database-driven analytics
  • Machine Learning Engineers with a focus on Oracle technologies


Learning Objectives - What you will Learn in this Oracle R Enterprise Essentials?

Course Introduction:

This Oracle R Enterprise Essentials course equips participants with knowledge of Oracle's R integration, enabling efficient data analysis and visualization within the Oracle database environment.

Learning Objectives and Outcomes:

  • Understanding the integration of R within the Oracle ecosystem and Oracle's strategy for R.
  • Setting up the Oracle R Enterprise (ORE) environment, including prerequisites and basic database interactions.
  • Gaining a foundational understanding of the R language and environment, including accessing help resources and debugging.
  • Learning to produce various graph types using R's graphic packages and understanding ORE's overloaded functions.
  • Mastering the ORE Transparency Layer for seamless operations between R and Oracle Database, including data transformations and type mapping.
  • Exploring object persistence, ordering frameworks, and in-database sampling with the ORE Transparency Layer, including a case study examination.
  • Delving into the rationale for and execution of embedded R scripts within Oracle Database, generating graphs from these embedded functions.
  • Utilizing the SQL Interface for embedded R execution, managing R scripts in the database repository, and understanding parallel execution for scalability.
  • Applying predictive analytics using ORE, including functions from the OREdm and OREmodels packages for advanced data analysis.
  • Direct database access via ROracle, encompassing authentication, table access methods, query execution, and transaction management.

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