Data storage is a fundamental aspect of Data Engineering, influencing processes such as ingestion, Data Transformation, and Querying. Useful for data management.
Types of Storage
Data storage encompasses various methods and technologies for storing, retrieving, and managing data. The choice of storage method significantly impacts data retrieval efficiency and consistency
| Storage Type | Description |
|---|---|
| Object Store | The gold standard for data lakes, ideal for unstructured data such as images, audio, and text. |
| Database | The most widely deployed database globally is SQLite. Suited for transaction recording. |
| NoSQL | |
| Data Warehouse | Excels in analytics and reporting. |
| Data Lake | Offers versatility for storing raw data, particularly beneficial for advanced analytics applications. |
Follow-Up Questions
- How do different data storage methods impact data retrieval speed in large datasets?
- What are the trade-offs between using relational versus NoSQL databases in specific applications?
Related Resources
Notes to be integrated
- Storing the Data Transformation data in a database or data warehouse for easy access and analysis.
- Tools: Amazon S3, Google BigQuery, Snowflake.