Data Storage Models in Big Data and Cloud Environments
Efficient data storage is critical for Big Data applications. The cloud provides various storage models that accommodate structured, semi-structured, and unstructured data.
1. Distributed File Systems
- HDFS (Hadoop Distributed File System): Provides fault tolerance by replicating data across nodes.
- Google Cloud Storage: A scalable object storage system designed for unstructured data.
- Amazon S3 (Simple Storage Service): A widely used cloud object storage with high durability and security.
2. NoSQL Databases
- Apache Cassandra: A column-family store with high availability and partition tolerance (AP) in the CAP theorem.
- MongoDB: A document-based NoSQL database that stores data in BSON format.
- Google Firestore: A fully managed document database optimized for serverless applications.
3. Data Warehouses and Data Lakes
- Amazon Redshift: A columnar database optimized for OLAP (Online Analytical Processing) queries.
- Google BigQuery: Uses a serverless architecture to process petabyte-scale data quickly.
- Azure Data Lake Storage: A data lake solution for storing and analyzing structured and unstructured data.