Lesson 1: Overview of Oracle Big Data Cloud Service
Introduction to Big Data
Oracle Cloud Infrastructure Overview
Big Data Cloud Service Architecture
Key Features and Benefits
Use Cases and Applications
5.1 Real-world Examples
5.2 Industry Applications
Setting Up the Environment
8.1 Prerequisites
8.2 Initial Configuration
Lesson 2: Understanding Big Data Technologies
Hadoop Ecosystem Overview
HDFS and YARN
MapReduce Fundamentals
Apache Spark Introduction
4.1 Spark Core
4.2 Spark SQL
Apache Hive Basics
7.1 HiveQL
7.2 Hive Architecture
NoSQL Databases
Lesson 3: Oracle Big Data Cloud Service Components
Oracle Big Data Cloud Service Console
Cluster Management
2.1 Creating Clusters
2.2 Scaling Clusters
Data Integration Tools
5.1 Oracle Data Integrator
5.2 Oracle GoldenGate
Monitoring and Logging
8.1 Using Oracle Management Cloud
8.2 Log Analysis
Lesson 4: Data Ingestion and Processing
Data Ingestion Overview
Batch Processing
2.1 Using Apache Sqoop
2.2 Using Apache Flume
Real-time Processing
5.1 Using Apache Kafka
5.2 Using Apache Storm
Data Transformation
8.1 Using Apache Pig
8.2 Using Apache Spark
Module 2: Advanced Data Processing and Analytics
Lesson 5: Advanced Apache Spark
Spark Streaming
1.1 DStreams
1.2 Structured Streaming
Machine Learning with Spark MLlib
4.1 Supervised Learning
4.2 Unsupervised Learning
Graph Processing with GraphX
7.1 Graph Algorithms
7.2 GraphFrames
Performance Tuning
Lesson 6: Advanced Hive and SQL on Big Data
Advanced HiveQL
1.1 Window Functions
1.2 Common Table Expressions
Hive Optimization Techniques
4.1 Partitioning
4.2 Bucketing
Integrating Hive with Spark
7.1 Hive on Spark
7.2 Spark SQL
Hive Security
Lesson 7: Real-time Analytics with Oracle Big Data Cloud Service
Real-time Analytics Overview
Using Apache Kafka for Real-time Data
2.1 Kafka Producers and Consumers
2.2 Kafka Streams
Real-time Processing with Apache Flink
5.1 Flink DataStream API
5.2 Flink Table API
Integrating with Oracle Stream Analytics
8.1 Creating Streams
8.2 Analyzing Streams
Lesson 8: Machine Learning and AI on Big Data
Introduction to Machine Learning on Big Data
Using Oracle Machine Learning
2.1 OML4Py
2.2 OML4SQL
Building Machine Learning Models
5.1 Supervised Learning Models
5.2 Unsupervised Learning Models
Model Deployment and Monitoring
8.1 Model Deployment Strategies
8.2 Model Monitoring and Maintenance
Module 3: Security, Governance, and Optimization
Lesson 9: Security in Oracle Big Data Cloud Service
Security Overview
Data Encryption
2.1 Encryption at Rest
2.2 Encryption in Transit
Authentication and Authorization
5.1 Using Oracle Identity Cloud Service
5.2 Role-Based Access Control
Auditing and Compliance
8.1 Audit Logging
8.2 Compliance Standards
Lesson 10: Data Governance and Management
Data Governance Overview
Data Lineage and Provenance
2.1 Tracking Data Lineage
2.2 Data Provenance Tools
Data Quality Management
5.1 Data Profiling
5.2 Data Cleansing
Metadata Management
8.1 Metadata Repository
8.2 Metadata Integration
Lesson 11: Performance Optimization
Performance Tuning Overview
Optimizing Hadoop Clusters
2.1 HDFS Optimization
2.2 YARN Optimization
Optimizing Spark Jobs
5.1 Spark Configuration
5.2 Spark Job Tuning
Optimizing Hive Queries
8.1 Hive Configuration
8.2 Hive Query Tuning
Lesson 12: Cost Management and Optimization
Cost Management Overview
Understanding Oracle Cloud Pricing
2.1 Compute Pricing
2.2 Storage Pricing
Cost Optimization Strategies
5.1 Right-Sizing Clusters
5.2 Reserved Instances
Monitoring and Reporting
8.1 Cost Monitoring Tools
8.2 Cost Reports
Module 4: Integration and Advanced Topics
Lesson 13: Integrating with Oracle Database
Integration Overview
Using Oracle Database Cloud Service
2.1 Oracle Database Overview
2.2 Oracle Database Cloud Service
Data Integration Techniques
5.1 Using Oracle Data Integrator
5.2 Using Oracle GoldenGate
Performance Considerations
8.1 Query Optimization
8.2 Data Partitioning
Lesson 14: Integrating with Other Cloud Services
Integration Overview
Using Oracle Integration Cloud
2.1 Oracle Integration Cloud Overview
2.2 Creating Integrations
Using Oracle API Gateway
5.1 API Gateway Overview
5.2 Creating APIs
Using Oracle Functions
8.1 Serverless Computing
8.2 Creating Functions
Lesson 15: Advanced Analytics and Visualization
Advanced Analytics Overview
Using Oracle Analytics Cloud
2.1 Oracle Analytics Cloud Overview
2.2 Creating Dashboards
Using Oracle Data Visualization
5.1 Data Visualization Overview
5.2 Creating Visualizations
Integrating with BI Tools
8.1 Using Oracle BI Publisher
8.2 Using Oracle BI Server
Lesson 16: Case Studies and Best Practices
Case Studies Overview
Real-world Implementations
2.1 Retail Industry
2.2 Healthcare Industry
Best Practices for Implementation
5.1 Planning and Design
5.2 Deployment and Monitoring
Troubleshooting Common Issues
8.1 Performance Issues
8.2 Security Issues
Module 5: Hands-on Labs and Projects
Lesson 17: Setting Up the Environment
Environment Setup Overview
Creating an Oracle Cloud Account
2.1 Account Creation
2.2 Account Configuration
Setting Up Oracle Big Data Cloud Service
5.1 Creating a Cluster
5.2 Configuring the Cluster
Installing Required Tools
8.1 Installing Hadoop Tools
8.2 Installing Spark Tools
Lesson 18: Data Ingestion Lab
Data Ingestion Overview
Using Apache Sqoop
2.1 Importing Data from RDBMS
2.2 Exporting Data to RDBMS
Using Apache Flume
5.1 Configuring Flume Agents
5.2 Ingesting Log Data
Using Apache Kafka
8.1 Setting Up Kafka
8.2 Producing and Consuming Messages
Lesson 19: Data Processing Lab
Data Processing Overview
Using Apache Pig
2.1 Writing Pig Latin Scripts
2.2 Running Pig Jobs
Using Apache Spark
5.1 Writing Spark Applications
5.2 Running Spark Jobs
Using Apache Hive
8.1 Writing HiveQL Queries
8.2 Running Hive Jobs
Lesson 20: Machine Learning Lab
Machine Learning Overview
Using Spark MLlib
2.1 Building Machine Learning Models
2.2 Evaluating Models
Using Oracle Machine Learning
5.1 Building Models with OML4Py
5.2 Evaluating Models with OML4SQL
Deploying Models
8.1 Model Deployment Strategies
8.2 Monitoring Models
Module 6: Advanced Topics and Future Trends
Lesson 21: Advanced Security and Compliance
Advanced Security Overview
Data Encryption Techniques
2.1 Advanced Encryption Standards
2.2 Key Management
Authentication and Authorization
5.1 Multi-Factor Authentication
5.2 Role-Based Access Control
Auditing and Compliance
8.1 Advanced Audit Logging
8.2 Compliance Standards
Lesson 22: Advanced Performance Optimization
Advanced Performance Tuning Overview
Optimizing Hadoop Clusters
2.1 Advanced HDFS Optimization
2.2 Advanced YARN Optimization
Optimizing Spark Jobs
5.1 Advanced Spark Configuration
5.2 Advanced Spark Job Tuning
Optimizing Hive Queries
8.1 Advanced Hive Configuration
8.2 Advanced Hive Query Tuning
Lesson 23: Advanced Integration Techniques
Advanced Integration Overview
Using Oracle Integration Cloud
2.1 Advanced Integration Techniques
2.2 Creating Complex Integrations
Using Oracle API Gateway
5.1 Advanced API Gateway Techniques
5.2 Creating Advanced APIs
Using Oracle Functions
8.1 Advanced Serverless Computing
8.2 Creating Advanced Functions
Lesson 24: Advanced Analytics and Visualization
Advanced Analytics Overview
Using Oracle Analytics Cloud
2.1 Advanced Dashboard Techniques
2.2 Creating Advanced Dashboards
Using Oracle Data Visualization
5.1 Advanced Visualization Techniques
5.2 Creating Advanced Visualizations
Integrating with BI Tools
8.1 Advanced BI Publisher Techniques
8.2 Advanced BI Server Techniques
Lesson 25: Future Trends in Big Data
Future Trends Overview
Emerging Technologies
2.1 Artificial Intelligence
2.2 Machine Learning
Big Data in the Cloud
5.1 Cloud-Native Big Data
5.2 Serverless Big Data
Data Privacy and Ethics
8.1 Data Privacy Regulations
8.2 Ethical Considerations
Lesson 26: Advanced Case Studies
Advanced Case Studies Overview
Real-world Implementations
2.1 Advanced Retail Industry Case Studies
2.2 Advanced Healthcare Industry Case Studies
Best Practices for Advanced Implementation
5.1 Advanced Planning and Design
5.2 Advanced Deployment and Monitoring
Troubleshooting Advanced Issues
8.1 Advanced Performance Issues
8.2 Advanced Security Issues
Lesson 27: Advanced Hands-on Labs
Advanced Hands-on Labs Overview
Advanced Data Ingestion Lab
2.1 Advanced Sqoop Techniques
2.2 Advanced Flume Techniques
Advanced Data Processing Lab
5.1 Advanced Pig Techniques
5.2 Advanced Spark Techniques
Advanced Machine Learning Lab
8.1 Advanced MLlib Techniques
8.2 Advanced OML Techniques
Lesson 28: Advanced Security Labs
Advanced Security Labs Overview
Advanced Data Encryption Lab
2.1 Advanced Encryption Techniques
2.2 Advanced Key Management
Advanced Authentication and Authorization Lab
5.1 Advanced Multi-Factor Authentication
5.2 Advanced Role-Based Access Control
Advanced Auditing and Compliance Lab
8.1 Advanced Audit Logging Techniques
8.2 Advanced Compliance Techniques
Lesson 29: Advanced Performance Optimization Labs
Advanced Performance Optimization Labs Overview
Advanced Hadoop Optimization Lab
2.1 Advanced HDFS Optimization Techniques
2.2 Advanced YARN Optimization Techniques
Advanced Spark Optimization Lab
5.1 Advanced Spark Configuration Techniques
5.2 Advanced Spark Job Tuning Techniques
Advanced Hive Optimization Lab
8.1 Advanced Hive Configuration Techniques
8.2 Advanced Hive Query Tuning Techniques
Lesson 30: Advanced Integration Labs
Advanced Integration Labs Overview
Advanced Oracle Integration Cloud Lab
2.1 Advanced Integration Techniques
2.2 Creating Advanced Integrations
Advanced Oracle API Gateway Lab
5.1 Advanced API Gateway Techniques
5.2 Creating Advanced APIs
Advanced Oracle Functions Lab
8.1 Advanced Serverless Computing Techniques
8.2 Creating Advanced Functions
Lesson 31: Advanced Analytics and Visualization Labs
Advanced Analytics and Visualization Labs Overview
Advanced Oracle Analytics Cloud Lab
2.1 Advanced Dashboard Techniques
2.2 Creating Advanced Dashboards
Advanced Oracle Data Visualization Lab
5.1 Advanced Visualization Techniques
5.2 Creating Advanced Visualizations
Advanced BI Tools Integration Lab
8.1 Advanced BI Publisher Techniques
8.2 Advanced BI Server Techniques
Lesson 32: Advanced Future Trends Labs
Advanced Future Trends Labs Overview
Advanced Emerging Technologies Lab
2.1 Advanced Artificial Intelligence Techniques
2.2 Advanced Machine Learning Techniques
Advanced Cloud-Native Big Data Lab
5.1 Advanced Cloud-Native Techniques
5.2 Advanced Serverless Techniques
Advanced Data Privacy and Ethics Lab
8.1 Advanced Data Privacy Techniques
8.2 Advanced Ethical Considerations
Lesson 33: Advanced Case Studies Labs
Advanced Case Studies Labs Overview
Advanced Real-world Implementations Lab
2.1 Advanced Retail Industry Techniques
2.2 Advanced Healthcare Industry Techniques
Advanced Best Practices Lab
5.1 Advanced Planning and Design Techniques
5.2 Advanced Deployment and Monitoring Techniques
Advanced Troubleshooting Lab
8.1 Advanced Performance Techniques
8.2 Advanced Security Techniques
Lesson 34: Advanced Hands-on Projects
Advanced Hands-on Projects Overview
Advanced Data Ingestion Project
2.1 Advanced Sqoop Project
2.2 Advanced Flume Project
Advanced Data Processing Project
5.1 Advanced Pig Project
5.2 Advanced Spark Project
Advanced Machine Learning Project
8.1 Advanced MLlib Project
8.2 Advanced OML Project
Lesson 35: Advanced Security Projects
Advanced Security Projects Overview
Advanced Data Encryption Project
2.1 Advanced Encryption Project
2.2 Advanced Key Management Project
Advanced Authentication and Authorization Project
5.1 Advanced Multi-Factor Authentication Project
5.2 Advanced Role-Based Access Control Project
Advanced Auditing and Compliance Project
8.1 Advanced Audit Logging Project
8.2 Advanced Compliance Project
Lesson 36: Advanced Performance Optimization Projects
Advanced Performance Optimization Projects Overview
Advanced Hadoop Optimization Project
2.1 Advanced HDFS Optimization Project
2.2 Advanced YARN Optimization Project
Advanced Spark Optimization Project
5.1 Advanced Spark Configuration Project
5.2 Advanced Spark Job Tuning Project
Advanced Hive Optimization Project
8.1 Advanced Hive Configuration Project
8.2 Advanced Hive Query Tuning Project
Lesson 37: Advanced Integration Projects
Advanced Integration Projects Overview
Advanced Oracle Integration Cloud Project
2.1 Advanced Integration Project
2.2 Advanced Complex Integrations Project
Advanced Oracle API Gateway Project
5.1 Advanced API Gateway Project
5.2 Advanced APIs Project
Advanced Oracle Functions Project
8.1 Advanced Serverless Computing Project
8.2 Advanced Functions Project
Lesson 38: Advanced Analytics and Visualization Projects
Advanced Analytics and Visualization Projects Overview
Advanced Oracle Analytics Cloud Project
2.1 Advanced Dashboard Project
2.2 Advanced Dashboards Project
Advanced Oracle Data Visualization Project
5.1 Advanced Visualization Project
5.2 Advanced Visualizations Project
Advanced BI Tools Integration Project
8.1 Advanced BI Publisher Project
8.2 Advanced BI Server Project
Lesson 39: Advanced Future Trends Projects
Advanced Future Trends Projects Overview
Advanced Emerging Technologies Project
2.1 Advanced Artificial Intelligence Project
2.2 Advanced Machine Learning Project
Advanced Cloud-Native Big Data Project
5.1 Advanced Cloud-Native Project
5.2 Advanced Serverless Project
Advanced Data Privacy and Ethics Project
8.1 Advanced Data Privacy Project
8.2 Advanced Ethical Considerations Project
Lesson 40: Capstone Project
Capstone Project Overview
Project Planning and Design
2.1 Project Scope
2.2 Project Requirements
Project Implementation
5.1 Data Ingestion
5.2 Data Processing
Project Deployment and Monitoring
8.1 Deployment Strategies
8.2 Monitoring and Maintenance
Reviews
There are no reviews yet.