Big Data Challenges and Best Practices ⚠️
Despite its advantages, Big Data faces challenges such as data quality, security, storage costs, and system complexity. To address these, implement best practices:
- Data Governance: Establish policies for data quality, privacy, and compliance.
- Scalability Planning: Design architectures that adapt to growing data volumes.
- Efficient Data Partitioning: Use partitioning and indexing for faster query performance.
- Automation and Monitoring: Employ tools for automated deployment, scaling, and real-time system health checks.
Best Practice Example: Utilize Apache Ranger for security governance and Apache Airflow for orchestrating complex data pipelines.
Diagram:
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| Data Governance & Security |
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| Automated Monitoring & Orchestration |
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| Scalable Architecture Design |
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