Useful Links
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
The Data Lifecycle in the Cloud
Data Ingestion
Data Acquisition Methods
Real-Time Streaming
Batch Processing
API-Based Collection
Data Validation and Quality Checks
Schema Validation
Data Type Verification
Completeness Checks
Consistency Validation
Data Storage
Storage Selection Criteria
Performance Requirements
Cost Considerations
Durability Needs
Access Patterns
Data Organization and Partitioning
Hierarchical Structures
Partitioning Strategies
Indexing Approaches
Metadata Organization
Data Processing and Transformation
Data Cleaning and Preparation
Duplicate Removal
Missing Value Handling
Data Standardization
Format Conversion
Data Enrichment
External Data Integration
Calculated Fields
Derived Metrics
Reference Data Joining
Data Analysis and Querying
Query Tools and Languages
SQL Variants
NoSQL Query Languages
Graph Query Languages
Domain-Specific Languages
Interactive vs. Batch Analysis
Real-Time Analytics
Scheduled Analysis
Ad-Hoc Querying
Exploratory Data Analysis
Data Visualization and Reporting
Visualization Tools
Dashboard Creation
Chart and Graph Types
Interactive Visualizations
Geospatial Mapping
Report Generation and Distribution
Automated Reporting
Scheduled Delivery
Export Formats
Access Control
Data Archiving and Deletion
Archival Strategies
Cold Storage Migration
Compression Techniques
Archive Indexing
Retrieval Procedures
Data Retention Policies
Legal Requirements
Business Rules
Automated Enforcement
Policy Documentation
Secure Deletion Methods
Data Wiping Techniques
Cryptographic Erasure
Verification Procedures
Compliance Certification
Previous
1. Introduction to Cloud Data Management
Go to top
Next
3. Data Ingestion and Collection