Data Storage Solutions for Big Data 💾

Intermediate

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   |