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Oracle Big Data Fundamentals Ed 2 Course Overview

Oracle Big Data Fundamentals Ed 2 Course Overview

The Oracle Big Data Fundamentals Ed 2 course is designed to provide learners with a comprehensive introduction to big data concepts, technologies, and the Oracle big data ecosystem. It covers a wide range of topics, including Hadoop, NoSQL databases, data acquisition methods, and data processing frameworks like MapReduce and Spark. Through hands-on practice with the Oracle BDLite VM, students gain practical experience in managing and analyzing large datasets.

Participants will learn about the integration of different data processing engines, strategies for big data implementation, resource management, and tools like Hive, Impala, and Oracle XQuery for Hadoop. The course also delves into Oracle-specific technologies such as Oracle Big Data SQL, Oracle Data Integrator, and Oracle Big Data Appliance. By mastering these tools and concepts, learners are equipped to tackle big data challenges and leverage opportunities in the field, enhancing their professional qualifications in the burgeoning big data industry.

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 : 40 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

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Course Prerequisites

To successfully undertake the Oracle Big Data Fundamentals Ed 2 course, students should have the following minimum required knowledge:


  • Basic understanding of database concepts, including relational databases and SQL.
  • Familiarity with command-line operations and navigation within a Unix or Linux environment.
  • Fundamental knowledge of data processing concepts and data analytics.
  • An awareness of distributed computing and storage principles is beneficial but not mandatory.
  • Some exposure to programming or scripting languages (such as Java, Python, or Bash) can be helpful.
  • It's advantageous to have a conceptual grasp of data warehousing and business intelligence, though not required.

Target Audience for Oracle Big Data Fundamentals Ed 2

The Oracle Big Data Fundamentals Ed 2 course is designed for professionals seeking to leverage big data technologies within Oracle's ecosystem.


  • Data Scientists
  • Data Analysts
  • Business Intelligence Specialists
  • Database Administrators
  • Big Data Architects
  • IT Managers overseeing data management teams
  • Software Engineers and Developers with a focus on big data solutions
  • Hadoop Developers and Administrators
  • System Administrators and Engineers involved in big data infrastructure
  • Data Warehousing Specialists transitioning to big data platforms
  • Technical Consultants involved in big data projects
  • Professionals responsible for data compliance and security within big data environments


Learning Objectives - What you will Learn in this Oracle Big Data Fundamentals Ed 2?

Introduction to Oracle Big Data Fundamentals Ed 2 Course Learning Outcomes:

Gain a comprehensive understanding of Oracle's Big Data solutions, including how to acquire, organize, and analyze large-scale data using key Oracle technologies and integrated tools.

Learning Objectives and Outcomes:

  • Understand the characteristics, importance, and challenges of Big Data, and explore Oracle's strategy for managing Big Data.
  • Acquire hands-on experience with the Oracle Big Data Lite Virtual Machine, including installation, configuration, and use of practice files.
  • Gain knowledge of the Big Data ecosystem, including Hadoop and its core components such as HDFS and MapReduce, as well as YARN for resource management.
  • Learn to acquire and process data using command line interface (CLI), Oracle NoSQL Database, Flume, and Kafka.
  • Develop familiarity with MapReduce and YARN processing frameworks, understanding job scheduling, and monitoring within a Hadoop cluster.
  • Explore Apache Spark for in-memory data processing to perform complex analytics faster and with more flexibility.
  • Understand how to organize and query large-scale data using Apache Hive and the speed of Cloudera Impala for real-time query processing.
  • Gain insights into Oracle XQuery for Hadoop for running complex queries and transformations on XML data.
  • Learn the essentials of Apache Solr for indexing and searching large volumes of data to derive insights.
  • Explore various data integration techniques like batch loading and real-time synchronization using Oracle Data Integrator and Oracle GoldenGate.
  • Understand how to use Oracle Big Data SQL to virtualize data access across different data stores, optimizing query performance.
  • Discover the capabilities of Oracle Big Data Spatial and Graph for analyzing relationships in data and Oracle Advanced Analytics for data mining techniques.
  • Evaluate Oracle Big Data deployment options, including the Oracle Big Data Appliance and Oracle Big Data Cloud Service offerings.