< All Topics

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

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.

Was this article helpful?
0 out of 5 stars
5 Stars 0%
4 Stars 0%
3 Stars 0%
2 Stars 0%
1 Stars 0%
Please Share Your Feedback
How Can We Improve This Article?
Table of Contents
Scroll to Top