Oracle GoldenGate 12c: Integrate Big Data Ed 1 Course Overview

Oracle GoldenGate 12c: Integrate Big Data Ed 1 Course Overview

The Oracle GoldenGate 12c: Integrate Big Data Ed 1 course is designed to educate learners on integrating big data with Oracle's GoldenGate technology. It provides a comprehensive overview of GoldenGate's capabilities in handling big data, focusing on its architecture, configuration, and best practices. Through the course, participants learn to compare and contrast the Java Adapter with GoldenGate for Big Data, understand message capture and delivery, configure various handlers for big data technologies like Hadoop HDFS, HBase, Apache Flume, Kafka, Cassandra, MongoDB, and more.

Learners will gain practical skills in handling real-time data replication and streaming to big data systems, ensuring they can manage big data workflows effectively. The course modules cover various aspects of configuration, including setting up handlers for different big data targets, understanding partitioning, and performance considerations. By mastering these skills, participants will be well-equipped to integrate diverse data sources into big data environments, making them valuable assets in the field of data management and analytics.

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 : 24 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 : 24 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


1-on-1 Training

Schedule personalized sessions based upon your availability.


Customized Training

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


4-Hour Sessions

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


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 you can successfully undertake the Oracle GoldenGate 12c: Integrate Big Data Ed 1 course and fully benefit from its content, the following prerequisites are recommended:

  • Basic understanding of database concepts and familiarity with SQL (Structured Query Language).
  • Fundamental knowledge of Oracle Database administration.
  • Awareness of big data concepts and the role of data integration in big data scenarios.
  • Some experience with Linux or UNIX-like operating systems as the course may involve command-line operations.
  • Familiarity with Hadoop ecosystem components such as HDFS, HBase, and Kafka is beneficial but not mandatory.
  • Prior exposure to data replication, ETL (Extract, Transform, Load) processes, or data warehousing concepts can be helpful.
  • Basic programming skills or understanding of Java could be advantageous for some modules, particularly those involving custom handlers or adapters.

It is important to note that while these prerequisites are recommended for a better learning experience, individuals with a strong desire to learn and the ability to quickly grasp technical concepts may also take this course. Our training is designed to accommodate a range of technical backgrounds, and our instructors are skilled at helping students bridge gaps in knowledge.

Target Audience for Oracle GoldenGate 12c: Integrate Big Data Ed 1

Oracle GoldenGate 12c is a comprehensive course for IT professionals to integrate Big Data with real-time data integration and replication.

  • Data Integration Specialists
  • Database Administrators (DBAs)
  • Data Architects
  • Big Data Analysts
  • ETL Developers
  • Middleware System Administrators
  • Data Warehousing Professionals
  • Technical Consultants involved in data migration and replication
  • IT Professionals looking to specialize in data solutions
  • System Integrators working with Big Data ecosystems
  • Data Scientists requiring real-time data feeds
  • DevOps Engineers focusing on continuous data integration
  • Software Engineers developing applications with integrated data systems

Learning Objectives - What you will Learn in this Oracle GoldenGate 12c: Integrate Big Data Ed 1?

Introduction to Learning Outcomes and Concepts Covered

The Oracle GoldenGate 12c: Integrate Big Data Ed 1 course provides comprehensive knowledge on integrating big data solutions with Oracle GoldenGate's replicating technology, focusing on data capture, parsing, and delivery using various big data handlers.

Learning Objectives and Outcomes

  • Understand the Oracle GoldenGate for Big Data architecture and differentiate between the Java Adapter and Oracle GoldenGate.
  • Configure message capture and delivery using the Oracle GoldenGate Java Adapter.
  • Gain expertise in handling big data with Oracle GoldenGate, including extraction, transformation, and load (ETL) processes.
  • Learn to implement Oracle GoldenGate for Big Data solutions with Hadoop HDFS, including configuring handlers and understanding partitioning and metadata.
  • Configure and optimize the Hadoop HBase Handler for data replication and integration with Oracle GoldenGate.
  • Set up and use the Apache Flume Handler for efficient event-driven data collection and movement.
  • Integrate Oracle GoldenGate with Apache Kafka for real-time data streaming and understand schema propagation and advanced configurations.
  • Master the configuration and usage of the Cassandra Handler, focusing on consistency, data types, and mapping.
  • Utilize the MongoDB Handler for replicating data into MongoDB, managing document keys, and performing bulk writes.
  • Develop skills in using the Generic JDBC Handler for a variety of database targets, ensuring correct error handling and operational modes.
  • Learn to configure pluggable formatters and the metadata provider for custom data processing and transformation needs.