Apache Hudi
I. Introduction
Product Name: Apache Hudi
Brief Description: Apache Hudi is an open-source data lake platform that brings database-like features such as transactions, upserts, and deletes to the data lake. It enables efficient incremental processing and query optimization over large datasets.
II. Project Background
- Library/Framework: Apache Software Foundation
- Authors: Uber (original creators)
- Initial Release: 2016
- Type: Data lake platform, transactional data management
- License: Apache License 2.0
III. Features & Functionality
- Transactional Data Lake: Provides ACID transactions, upserts, and deletes on data lake tables.
- Incremental Processing: Enables efficient handling of data changes and updates.
- Data Clustering and Compaction: Optimizes data layout for query performance.
- Time Travel: Supports querying historical data versions.
- Schema Evolution: Allows for schema changes without rewriting entire datasets.
- Unified Batch and Streaming: Handles both batch and streaming data ingestion and processing.
IV. Benefits
- Improved Data Quality: Ensures data consistency and accuracy with ACID transactions.
- Enhanced Performance: Optimizes query performance through data clustering and compaction.
- Increased Flexibility: Supports various data ingestion and processing patterns.
- Reduced Storage Costs: Efficiently manages data growth and reduces storage footprint.
- Streamlined Data Pipelines: Simplifies data ingestion and processing workflows.
V. Use Cases
- Data Lakes: Building reliable and scalable data lakes with transactional capabilities.
- Data Warehousing: Creating data warehouses with high performance and flexibility.
- Machine Learning: Training and serving machine learning models with up-to-date data.
- Real-time Analytics: Processing and analyzing streaming data with low latency.
- Data Integration: Combining data from various sources into a unified dataset.
VI. Applications
- Financial services
- Telecommunications
- Retail
- Adtech
- IoT
VII. Getting Started
- Integrate Hudi with Apache Spark or other supported compute engines.
- Create Hudi tables and perform data ingestion and updates.
- Leverage Hudi’s features for data management and optimization.
- Explore the Hudi ecosystem for additional tools and libraries.
VIII. Community
- Apache Hudi Website: https://hudi.apache.org/
- Apache Hudi GitHub: https://github.com/apache/hudi
IX. Additional Information
- Tight integration with Apache Spark and other big data frameworks.
- Supports various data formats (Parquet, Avro, ORC).
- Active community and ecosystem of tools and libraries.
X. Conclusion
Apache Hudi is a powerful data lake platform that brings database-like capabilities to big data workloads. Its focus on transactional data management, incremental processing, and performance optimization makes it a popular choice for building modern data lakes.