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Oracle Big Data Overview Course Overview

Oracle Big Data Overview Course Overview

The Oracle Big Data Overview course is designed to equip learners with the essential knowledge and skills to handle big data using Oracle's technologies. It provides a comprehensive introduction to big data concepts and how they are applied in various industries, helping learners understand the business challenges and opportunities associated with big data.

Through six targeted modules, participants will learn about building big data systems, leveraging the Oracle Big Data Solution, and utilizing tools such as Oracle NoSQL Database, Hadoop Distributed File System, and Oracle In-Database Analytics Platform. The course also covers the use of Hadoop and Hive for data storage and transformation, integrating Hadoop data with Oracle, and employing advanced analytics for data mining.

By enrolling in this big data hadoop online course, participants will gain practical experience in managing big data projects and learn strategies for implementing a big data solution. This big data and hadoop course is ideal for professionals looking to deepen their understanding of big data within the Oracle ecosystem and to enhance their analytical and data management capabilities.

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

♱ Excluding VAT/GST

Classroom Training price is on request

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Course Prerequisites

To ensure that participants can effectively engage with and benefit from the Oracle Big Data Overview course, the following minimum prerequisites are recommended:


  • Basic understanding of databases and data storage concepts.
  • Familiarity with SQL or any other structured query language.
  • Awareness of data processing and data analysis fundamentals.
  • Some knowledge of traditional data warehouse solutions.
  • An introductory level of experience with Linux or Unix-like operating systems.
  • General IT competence and comfort with learning new technology concepts.

Please note that while these prerequisites are aimed at providing a foundation for the course material, the Oracle Big Data Overview course is designed to accommodate a range of IT professionals with varying levels of experience. A keen interest in learning about Big Data and its applications will greatly enhance your ability to grasp the course content.


Target Audience for Oracle Big Data Overview

The Oracle Big Data Overview course is designed for professionals seeking to leverage big data technologies within the Oracle ecosystem.


  • Data Analysts
  • Business Analysts
  • Database Administrators
  • Data Architects
  • Data Scientists
  • IT Managers
  • Business Intelligence Specialists
  • Software Developers
  • System Architects
  • Technical Consultants
  • Data Engineers
  • Big Data Engineers
  • Hadoop Developers
  • Oracle Database Professionals
  • NoSQL Database Administrators
  • Data Integration Specialists
  • Data Strategists and Consultants
  • IT Professionals with an interest in big data and analytics


Learning Objectives - What you will Learn in this Oracle Big Data Overview?

Course Introduction:

This Oracle Big Data Overview course provides a comprehensive understanding of big data systems, strategies, and analytics. Students will learn to leverage Oracle's solutions for managing and extracting value from vast datasets.

Learning Objectives and Outcomes:

  • Understand the concept of Big Data and its impact on business strategies.
  • Identify the challenges businesses face with large-scale data management.
  • Gain knowledge on how to derive quick insights from new data queries.
  • Explore industry examples where big data solutions have been successfully implemented.
  • Develop a foundational strategy for integrating big data solutions into your business.
  • Get a general overview of big data systems and the components of Oracle's Big Data Solution.
  • Learn about Oracle NoSQL Database and its application in handling high-velocity transactions.
  • Understand the role of the Hadoop Distributed File System (HDFS) in big data storage.
  • Familiarize with the Oracle In-Database Analytics platform for streamlined data analysis.
  • Operate with the Oracle NoSQL Database for website data management.
  • Dive into Hadoop and Hive for data storage and transformation processes.
  • Integrate Hadoop data with Oracle using Big Data Connectors and Oracle Data Integrator (ODI).
  • Utilize advanced analytics tools like Oracle R Enterprise and Oracle Data Mining to extract meaningful patterns and insights from both database and Hadoop data.
  • Learn to create real-time similarity scores that can enhance data mining effectiveness.