Cloud Data Management and Analysis

2.

The Data Lifecycle in the Cloud

2.1.

2.1.1.

Data Acquisition Methods

2.1.1.1.

Real-Time Streaming

2.1.1.2.

Batch Processing

2.1.1.3.

API-Based Collection

2.1.2.

Data Validation and Quality Checks

2.1.2.1.

Schema Validation

2.1.2.2.

Data Type Verification

2.1.2.3.

Completeness Checks

2.1.2.4.

Consistency Validation

2.2.

2.2.1.

Storage Selection Criteria

2.2.1.1.

Performance Requirements

2.2.1.2.

Cost Considerations

2.2.1.3.

Durability Needs

2.2.1.4.

Access Patterns

2.2.2.

Data Organization and Partitioning

2.2.2.1.

Hierarchical Structures

2.2.2.2.

Partitioning Strategies

2.2.2.3.

Indexing Approaches

2.2.2.4.

Metadata Organization

2.3.

Data Processing and Transformation

2.3.1.

Data Cleaning and Preparation

2.3.1.1.

Duplicate Removal

2.3.1.2.

Missing Value Handling

2.3.1.3.

Data Standardization

2.3.1.4.

Format Conversion

2.3.2.

Data Enrichment

2.3.2.1.

External Data Integration

2.3.2.2.

Calculated Fields

2.3.2.3.

Derived Metrics

2.3.2.4.

Reference Data Joining

2.4.

Data Analysis and Querying

2.4.1.

Query Tools and Languages

2.4.1.1.

2.4.1.2.

NoSQL Query Languages

2.4.1.3.

Graph Query Languages

2.4.1.4.

Domain-Specific Languages

2.4.2.

Interactive vs. Batch Analysis

2.4.2.1.

Real-Time Analytics

2.4.2.2.

Scheduled Analysis

2.4.2.3.

Ad-Hoc Querying

2.4.2.4.

Exploratory Data Analysis

2.5.

Data Visualization and Reporting

2.5.1.

Visualization Tools

2.5.1.1.

Dashboard Creation

2.5.1.2.

Chart and Graph Types

2.5.1.3.

Interactive Visualizations

2.5.1.4.

Geospatial Mapping

2.5.2.

Report Generation and Distribution

2.5.2.1.

Automated Reporting

2.5.2.2.

Scheduled Delivery

2.5.2.3.

2.5.2.4.

2.6.

Data Archiving and Deletion

2.6.1.

Archival Strategies

2.6.1.1.

Cold Storage Migration

2.6.1.2.

Compression Techniques

2.6.1.3.

Archive Indexing

2.6.1.4.

Retrieval Procedures

2.6.2.

Data Retention Policies

2.6.2.1.

Legal Requirements

2.6.2.2.

2.6.2.3.

Automated Enforcement

2.6.2.4.

Policy Documentation

2.6.3.

Secure Deletion Methods

2.6.3.1.

Data Wiping Techniques

2.6.3.2.

Cryptographic Erasure

2.6.3.3.

Verification Procedures

2.6.3.4.

Compliance Certification

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3. Data Ingestion and Collection