Oracle GoldenGate 12C Integrate Big Data

1. Real-Time Data Replication: Provides real-time, log-based data replication capabilities to move data continuously and efficiently between different data sources and targets.

2. Heterogeneous Data Integration: Supports heterogeneous data integration, enabling replication between various relational databases, mainframes, and big data platforms.

3. Low-Impact Capture: Uses log-based capture methods to minimize the impact on the source systems during data extraction, ensuring minimal performance overhead.

4. High Availability and Scalability: Offers high availability and scalability features to handle large volumes of data and ensure continuous data availability and reliability.

5. Support for Complex Data Types: Supports replication of complex data types, including structured, semi-structured, and unstructured data, without data loss or corruption.

Before learning Oracle GoldenGate 12c Integrate Big Data, it's helpful to have the following skills:

1. Database Management: Understanding of relational database concepts and experience with SQL, including data querying, manipulation, and management.

2. Data Integration: Knowledge of data integration concepts and techniques, such as ETL (Extract, Transform, Load) processes, data replication, and data migration.

3. Big Data Technologies: Familiarity with big data technologies such as Hadoop, Apache Kafka, Apache Spark, and NoSQL databases, including their architecture, components, and use cases.

4. Data Warehousing: Understanding of data warehousing concepts, including data modeling, data warehousing architecture, and data warehouse design principles.

5. Networking: Basic knowledge of networking principles, protocols, and configurations, as data replication often involves communication between different systems over a network.

By learning Oracle GoldenGate 12c Integrate Big Data, you gain the following skills:

1. Real-Time Data Integration: Ability to integrate and replicate data in real-time between traditional relational databases and big data platforms.

2. Heterogeneous Data Replication: Skills to replicate data across heterogeneous environments, including relational databases, mainframes, and big data systems.

3. Log-Based Replication: Understanding of log-based replication techniques to capture, transform, and propagate data changes with minimal impact on source systems.

4. Data Transformation: Proficiency in transforming and filtering data during replication to ensure compatibility and relevance for target systems.

5. High Availability: Knowledge of implementing high availability and fault tolerance measures to ensure continuous data availability and reliability.