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

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.