Oracle Big Data Services

Module 1: Introduction to Oracle Big Data Services

• Overview of Oracle Big Data platform
• Oracle Big Data Service (BDS) on OCI
• Big Data ecosystem: Hadoop, Spark, Kafka, Hive
• Use cases: Data lake, real-time analytics, ML
• Oracle Big Data implementation methodology

Module 2: Oracle Big Data Service (BDS)

• BDS architecture on OCI
• Cluster types: High availability and development
• Hadoop and Spark on BDS
• Node configuration and scaling
• BDS monitoring and administration

Module 3: Hadoop and HDFS

• HDFS architecture and concepts
• Data ingestion into HDFS
• HDFS replication and fault tolerance
• HDFS administration and maintenance
• Moving data between HDFS and OCI Object Storage

Module 4: Apache Spark on Oracle BDS

• Spark architecture: Driver, executor, cluster manager
• Spark RDD and DataFrame API
• Spark SQL for big data queries
• Spark Streaming for real-time processing
• Machine learning with Spark MLlib

Module 5: Apache Hive and Impala

• Hive architecture and metastore
• HiveQL for big data querying
• Hive partitioning and bucketing
• Impala for interactive SQL on Hadoop
• Hive vs. Impala use cases

Module 6: Apache Kafka on OCI

• Kafka architecture: Brokers, topics, partitions
• OCI Streaming (Kafka-compatible)
• Producer and consumer configuration
• Kafka Connect for integration
• Kafka Streams for stream processing

Module 7: Data Ingestion and Integration

• Apache Sqoop for RDBMS to HDFS
• Apache Flume for log ingestion
• Oracle Data Integrator (ODI) for Big Data
• GoldenGate for Big Data replication
• OCI Data Integration with Big Data

Module 8: Data Lake on OCI

• OCI Object Storage as data lake foundation
• Data lake architecture patterns
• Lakehouse with Autonomous Database
• Delta Lake on OCI
• Data catalog with OCI Data Catalog

Module 9: Machine Learning on Big Data

• Oracle Machine Learning (OML) with Big Data
• Spark MLlib pipelines
• Model training on distributed data
• Feature engineering at scale
• Model deployment from Big Data

Module 10: Big Data Security and Governance

• Kerberos authentication for Hadoop
• Apache Ranger for authorization
• Data masking and encryption
• OCI IAM integration with BDS
• Compliance for big data

Module 11: Big Data Performance Optimization

• Spark tuning: Partitioning, caching, shuffle
• HDFS small file problem resolution
• Hive query optimization
• Resource Manager configuration
• Big data cost optimization on OCI

Module 12: Real-Time Projects and Case Studies

• Enterprise data lake implementation
• Real-time IoT analytics pipeline
• End-to-end Big Data project
• Certification and interview preparation

Experience in the Industry Gain knowledge from experts with hands-on Oracle Big Data project experience in data lake, Spark analytics, and real-time streaming.

Backgrounds at the Top Prominent corporations such as HCL, TCS, Accenture, and Oracle Labs employ our Oracle Big Data trainers.

Clear & Effective Teaching Excellent communication and real-world examples simplify complex big data ecosystem and distributed computing concepts.

Hands-On Learning Focus Students apply skills using live Oracle BDS and OCI environments with real data lake and Spark analytics projects.

Up-to-Date Knowledge Trainers stay current with Oracle Big Data Service, OCI Data Lakehouse, and latest big data engineering best practices.