Data Storage Management System

A Data Storage Management System is a data management system that can solve a data storage management task ....

• Context:
  • It can range from being a Centralized Data Storage Manager to being a Distributed File System (DFS) Data Storage Manager.
• See: Apache Hudi, DeltaLakes, Apache Iceberg.

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References

2020

• https://github.com/apache/hudi
  • QUOTE: Apache Hudi (pronounced Hoodie) stands for Hadoop Upserts Deletes and Incrementals. Hudi manages the storage of large analytical datasets on DFS (Cloud stores, HDFS or any Hadoop FileSystem compatible storage). https://hudi.apache.org/
  • Features
    • Upsert support with fast, pluggable indexing
    • Atomically publish data with rollback support
    • Snapshot isolation between writer & queries
    • Savepoints for data recovery
    • Manages file sizes, layout using statistics
    • Async compaction of row & columnar data
    • Timeline metadata to track lineage
  • Hudi supports three types of queries:
    • Snapshot Query - Provides snapshot queries on real-time data, using a combination of columnar & row-based storage (e.g Parquet + Avro).
    • Incremental Query- Provides a change stream with records inserted or updated after a point in time.
    • Read Optimized Query - Provides excellent snapshot query performance via purely columnar storage (e.g. Parquet).

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