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Computer Science
Cloud Computing
Cloud Data Management and Analysis
1. Introduction to Cloud Data Management
2. The Data Lifecycle in the Cloud
3. Data Ingestion and Collection
4. Cloud Data Storage Solutions
5. Data Processing and Transformation
6. Data Analysis and Business Intelligence (BI)
7. Machine Learning and Advanced Analytics
8. Data Governance and Security
9. Orchestration and Automation
10. Cost Management and Optimization
Data Ingestion and Collection
Ingestion Patterns
Batch Ingestion
Scheduled Data Loads
Use Cases and Limitations
File-Based Processing
Bulk Data Transfer
Error Handling and Recovery
Stream (Real-Time) Ingestion
Event-Driven Data Collection
Low-Latency Requirements
Continuous Data Flow
Backpressure Management
Fault Tolerance
Micro-Batch Ingestion
Hybrid Approaches
Use Cases
Windowing Strategies
Latency vs. Throughput Trade-offs
Data Sources
Application Logs and Metrics
Log Aggregation
Monitoring Data
System Performance Metrics
Application Performance Monitoring
Error and Exception Tracking
IoT Device Data
Sensor Data Collection
Edge-to-Cloud Ingestion
Device Management
Protocol Considerations
Data Volume Challenges
User Activity and Clickstreams
Web and Mobile Analytics
Session Tracking
Behavioral Data Collection
Privacy Considerations
Real-Time Personalization
Relational and NoSQL Databases
Change Data Capture (CDC)
Database Replication
Transaction Log Mining
Incremental Data Extraction
Schema Evolution Handling
Third-Party APIs
API Integration Patterns
Rate Limiting and Throttling
Authentication and Authorization
Error Handling and Retries
Data Format Transformation
Flat Files
CSV, TSV, and Text Files
File Transfer Protocols
File Validation and Parsing
Compression and Encoding
Large File Handling
Cloud Ingestion Services
Managed Streaming Services
AWS Kinesis Data Streams
Features and Use Cases
Shard Management
Consumer Applications
Azure Event Hubs
Features and Use Cases
Partition Management
Event Processing
GCP Pub/Sub
Features and Use Cases
Topic and Subscription Model
Message Ordering
Managed Data Transfer Services
AWS DataSync
File Transfer Automation
Scheduling and Monitoring
Bandwidth Throttling
Azure Data Box
Physical Data Transfer
Device Types and Capacities
Security Features
GCP Storage Transfer Service
Cloud-to-Cloud and On-Premises Transfers
Transfer Jobs and Scheduling
Bandwidth Management
Database Migration Services
AWS DMS
Supported Source and Target Databases
Continuous Replication
Schema Conversion
Azure Database Migration Service
Migration Scenarios
Assessment Tools
Offline and Online Migration
GCP Database Migration Service
Supported Workloads
Migration Validation
Rollback Procedures
Common Data Formats
Row-Oriented Formats
CSV
Structure and Limitations
Delimiter Handling
Escape Characters
JSON
Structure and Use Cases
Nested Objects and Arrays
Schema Flexibility
XML
Hierarchical Data Representation
Schema Definition
Parsing Considerations
Columnar Formats
Apache Parquet
Compression and Performance
Schema Evolution
Predicate Pushdown
Apache ORC
Use Cases in Analytics
ACID Properties
Vectorized Processing
Semi-Structured Formats
Avro
Schema Evolution
Binary Serialization
Code Generation
Protocol Buffers
Language-Neutral Serialization
Schema Definition
Backward Compatibility
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2. The Data Lifecycle in the Cloud
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4. Cloud Data Storage Solutions