Apache Hudi is an open-source data management framework that enables high-performance and scalable data ingestion, storage, and processing. Hudi stands for “Hadoop Upserts Deletes and Incrementals” and is designed to handle large-scale data sets in distributed computing environments such as Apache Hadoop, Apache Spark, and Apache Flink. One of the main features of Apache Hudi is its support for upserts (updates and inserts), deletes, and incremental data processing. This makes it ideal for use cases where data is constantly changing and requires efficient updates and deletes. Hudi provides a mechanism to efficiently store and process the incremental changes made to the data, making it ideal for use cases such as real-time analytics, stream processing, and machine learning. Apache HUDI provides a robust and scalable data ingestion framework that can handle a variety of use cases , that make it a valuable data management tool. Here are some examples of use cases where Apache Hudi can be ...
A Full Stack developer who is facing problems in development cycle and here you find solution of errors of those problems.This includes all exception and configuration issues. Solutions which i have written in blog are the one which worked for me after killing my time :) .