Apache Hudi is a powerful open-source data lake framework that enables near real-time data ingestion, incremental processing, and efficient storage management. Multisoft Systems' Apache Hudi Training is designed to help data engineers, analysts, and big data professionals gain expertise in managing large-scale data lakes with Hudi. This training covers the core components and architecture of Apache Hudi, including record-level indexing, data versioning, and optimized querying for big data analytics. Participants will learn to implement incremental data ingestion, perform upserts and deletes, and work with Hudi on distributed platforms like Apache Spark, Presto, and Hive. The course also dives into Hudi’s table types—Copy-on-Write (COW) and Merge-on-Read (MOR)—for efficient data management. Through hands-on exercises, learners will explore real-world use cases, including data deduplication, change data capture (CDC), and real-time analytical queries. This training also provides insights into Hudi's integration with cloud-based data lakes like AWS S3, Google Cloud Storage, and Azure Data Lake.
By the end of the course, participants will have industry-ready skills to optimize big data pipelines, ensure faster query performance, and manage large-scale datasets effectively. Enroll now in Multisoft Systems’ Apache Hudi Training and take a step forward in your big data career!