Data Storage Solutions for Big Data 💾
Efficient storage of massive datasets requires distributed and scalable solutions. Primary options include distributed file systems like HDFS and cloud-based object storage such as Amazon S3, Azure Blob Storage, and Google Cloud Storage.
HDFS:
- Designed specifically for large-scale data storage
- Data is split into blocks distributed across cluster nodes
- Supports fault tolerance via replication
Cloud Object Storage:
- Offers elastic scaling and managed infrastructure
- Suitable for unstructured data like multimedia and logs
- Accessible via APIs, enabling easy integration into data pipelines
Comparison Table:
| Storage Type | Benefits | Use Cases |
|----------------------------|----------------------------------|------------------------------|
| HDFS | Fault-tolerant, scalable | Data lakes, Hadoop clusters |
| Cloud Object Storage | Elastic, managed, easy to access | Big Data archiving, Backup |