The Oracle 19c Big Data course provides comprehensive training on Oracle’s big data solutions, including Oracle Big Data Appliance and Oracle Big Data Cloud Service. Participants will gain an understanding of the underlying technologies and tools for managing and analyzing big data, such as Apache Hadoop, Apache Spark, and Oracle NoSQL Database. The course covers topics ranging from data ingestion and processing to data storage and analytics, enabling participants to leverage Oracle’s big data platform effectively.
To make the most of this course, participants should have a basic understanding of database concepts and familiarity with SQL. Additionally, prior knowledge of big data technologies and concepts, such as Hadoop and Spark, would be beneficial but not mandatory.
The course employs a combination of theoretical instruction, demonstrations, and hands-on labs. Participants will receive detailed explanations of big data concepts and technologies, followed by practical demonstrations of their implementation. They will also have the opportunity to apply their learning in hands-on labs, gaining practical experience with Oracle’s big data solutions. The course is delivered through instructor-led sessions, allowing participants to interact, ask questions, and engage in discussions.
Introduction to Big Data
Understanding the characteristics and challenges of big data
Introduction to Oracle’s big data solutions
Overview of Apache Hadoop and Spark
Oracle Big Data Architecture
Introduction to Oracle Big Data Appliance and Oracle Big Data Cloud Service
Understanding the components of the Oracle big data platform
Overview of Oracle NoSQL Database
Data Ingestion and Processing
Importing and processing data using Apache Sqoop
Extracting and transforming data with Apache Hive
Introduction to Apache Spark and its integration with Oracle big data solutions
Data Storage and Management
Overview of Hadoop Distributed File System (HDFS)
Storing and managing data in Hadoop using HDFS
Introduction to Oracle NoSQL Database and its features
Big Data Analytics with Oracle
Introduction to Oracle Big Data SQL
Integrating and analyzing data from diverse sources
Performing complex analytics using SQL and Oracle Advanced Analytics
Real-Time Data Processing
Introduction to Apache Kafka and its integration with Oracle big data solutions
Processing and analyzing streaming data with Apache Kafka and Spark Streaming
Implementing real-time data pipelines
Big Data Security and Governance
Securing big data environments using authentication and authorization mechanisms
Implementing data privacy and compliance measures
Data governance and metadata management in big data environments
Big Data Deployment and Operations
Deploying and managing Oracle Big Data Appliance and Oracle Big Data Cloud Service
Monitoring and troubleshooting big data environments
Implementing high availability and disaster recovery measures
By the end of the course, participants will:
- Understand the concepts and technologies underlying big data.
- Be familiar with Oracle’s big data solutions, including Big Data Appliance and Big Data Cloud Service.
- Have the skills to ingest, process, store, and analyze big data using Oracle’s big data platform.
- Be proficient in utilizing Apache Hadoop, Spark, and NoSQL Database in the context of big data.
- Understand how to perform real-time data processing and analysis.
- Possess knowledge of big data security, governance, and operational considerations.
The course includes hands-on labs that provide participants with practical experience in working with Oracle’s big data solutions. The labs cover various scenarios, allowing participants to practice data ingestion and processing, data storage and management, big data analytics, real-time data processing, and security and governance measures. The labs are designed to reinforce the concepts learned during the theoretical instruction and help participants build confidence in their big data skills.