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storage layer
The storage layer refers to the component of a data system responsible for persistently storing and managing data.
The storage layer refers to the component of a data system responsible for persistently storing and managing data. In modern data architectures, this layer often utilizes distributed file systems or object storage solutions to handle large volumes of data efficiently. Popular options include Amazon S3, Google Cloud Storage, or Azure Blob Storage. These systems provide durability, scalability, and cost-effectiveness for storing raw data, processed datasets, and analytical results. The storage layer is typically optimized for high throughput and low latency access, supporting various file formats like Parquet, ORC, or Avro, which are designed for efficient querying and processing. In the context of data lakes and lakehouses, the storage layer serves as the foundation upon which other components, such as query engines and metadata management systems, operate to enable data analytics and machine learning workflows.
Related terms
Cloud Storage →
Cloud storage refers to a model of data storage where digital information is kept on remote servers accessed through the internet, rather than on local hard…
Object storage →Object storage is a data storage architecture that manages data as discrete objects — each with data, metadata, and a unique identifier — in a flat namespace, accessed over HTTP APIs rather than a traditional file system hierarchy.
storage →DuckDB uses an efficient columnar storage format optimized for analytical queries.
HDFS →HDFS (Hadoop Distributed File System) is a distributed, block-based file system designed to store very large files reliably across clusters of commodity hardware, historically the primary storage layer for Hadoop-based big data systems.
Parquet →Apache Parquet is a columnar storage file format designed for efficient data processing and analytics.
S3 bucket →An S3 bucket is a fundamental storage container in Amazon Web Services' Simple Storage Service (S3).
