Master Apache Hudi Streamer: 15+ Hands-On Labs, Exercise Materials, and Videos - The Go-To Guide for Companies, Data Leaders, Engineers, and Developer

Apache Hudi (Hadoop Upsert Delete and Incremental) is a powerful data management framework that provides streaming ingestion, indexing, and incremental data processing on large datasets. Whether you're a company looking to optimize your data pipelines, a data leader striving to stay ahead of the curve, an engineer seeking to enhance your skillset, or a developer aiming to build robust data systems, mastering Apache Hudi is essential. This comprehensive guide, featuring 15+ hands-on labs, exercise materials, and videos, will take you from beginner to expert in no time.

What is Apache Hudi?

Apache Hudi is an open-source data management framework that simplifies data ingestion and pipeline construction. It enables you to ingest, update, and delete data efficiently while providing incremental data processing and querying capabilities. Hudi is particularly useful for building data lakes and managing large-scale data processing workloads in real-time.

Why Learn and Master Apache Hudi Streamer?

Mastering Apache Hudi Streamer is crucial for:

• Companies: Optimize data storage, processing, and analytics workflows.
• Data Leaders: Stay ahead with cutting-edge data management techniques.
• Engineers: Enhance your data engineering skills and implement efficient data pipelines.
• Developers: Build robust and scalable data systems

Hands-On Labs and Videos

1) Hudi Streamer (Delta Streamer) Hands-On Guide: Local Ingestion from Parquet Source

Learn how to set up and ingest data from a local Parquet source using Hudi Streamer. This tutorial walks you through the entire process, ensuring you understand how to configure and use Hudi Streamer for local data ingestion.

2) Hudi Streamer Delta Streamer Hands-On Guide: Local Ingestion from CSV Source #2

Discover the steps to ingest data from a CSV source locally using Delta Streamer. This guide covers the necessary configurations and commands to successfully ingest CSV data into your Hudi tables.

Learn How to Ingest Multiple Tables using Hudi MultiTable Delta Streamer #3

• Explore the process of ingesting data from multiple tables using Hudi MultiTable Delta Streamer. This video provides a detailed explanation of how to handle multiple data sources and ingest them efficiently.

Step-by-Step Guide for Incremental Data Pull from Postgres to Hudi using DeltaStreamer

Follow a step-by-step guide to pull incremental data from Postgres to Hudi using DeltaStreamer. This tutorial demonstrates how to set up and execute incremental data pulls, ensuring your Hudi tables are always up-to-date.

Learn How to Ingest Data Into Hudi Table using Delta Streamer in Continuous Mode & SQL transformer #5

Understand how to ingest data into a Hudi table in continuous mode using SQL transformers. This guide covers the continuous ingestion process and how to use SQL transformers for data transformation.

Learn How to use DeltaStreamer and ingest data from Kafka Topic Hands on Labs #6

Gain insights into ingesting data from a Kafka topic using DeltaStreamer. This hands-on lab demonstrates the necessary steps to configure and use DeltaStreamer with Kafka for real-time data ingestion.

Real-Time Data: Postgres, Debezium, Kafka, Schema Registry, Delta Streamer #7 A

• Learn the integration of Postgres, Debezium, Kafka, and Schema Registry with Delta Streamer. This video provides a comprehensive overview of setting up a real-time data pipeline using these tools.

Real-Time Data: Postgres, Debezium, Kafka, Schema Registry, Delta Streamer #7B Complete Video

• Complete guide to setting up and using Postgres, Debezium, Kafka, Schema Registry with Delta Streamer. This video expands on part A, providing additional insights and best practices.

Learn How to Run Clustering in Async Mode with Delta Streamer in Continuous Mode Hands on Labs #8

• Explore how to run clustering in async mode with Delta Streamer in continuous mode. This lab provides practical steps and configurations to implement clustering in your data ingestion process.

Learn How to use MinIO and Apache Hudi Delta Streamer with Hands on Lab #9

• Discover the use of MinIO with Apache Hudi Delta Streamer in a hands-on lab. This guide shows how to set up and use MinIO as a storage backend for your Hudi data ingestion.

How to use DeltaStreamer to Read Data From Hudi Source in Incremental Fashion (Bronze to Silver) #10

• Learn how to read data incrementally from a Hudi source and move from Bronze to Silver tables. This tutorial demonstrates incremental data processing and upgrading data quality levels in Hudi.

Apache Hudi Delta Streamer in Action: Python Publishing and AvroKafkaSource Consumption #11

• Understand the process of publishing data using Python and consuming AvroKafkaSource with Delta Streamer. This video provides detailed steps and examples for effective data publishing and consumption.

Build Universal Data Lake with Postgres + Debezium + Kafka + DeltaStreamer + MinIO + HiveMetastore + Trino

• Learn to build a universal data lake using a combination of Postgres, Debezium, Kafka, DeltaStreamer, MinIO, HiveMetastore, and Trino. This comprehensive guide walks you through the integration and usage of each component to create a robust data lake architecture.

Hudi Streamer Implementing Slowly Changing Dimension Type 2 and Query Real-Time Trino | Hands-On

• Explore how to implement Slowly Changing Dimension Type 2 (SCD2) with Hudi Streamer and query real-time data using Trino. This hands-on lab provides detailed instructions and practical examples to help you manage historical data changes and perform real-time queries.

Table Services

Apache Hudi provides several table services to manage and optimize data stored in Hudi tables. These services help maintain data quality, improve query performance, and manage metadata efficiently. Here are some essential table services and corresponding hands-on labs:

Apache Hudi Table Services | Asyn MetaData Indexing | HoodieIndexer | Hands-On Labs

• Learn about asynchronous metadata indexing using HoodieIndexer. This lab demonstrates how to set up and use HoodieIndexer to improve query performance by managing metadata efficiently.

Apache Hudi Table Services | HoodieCleaner | Hands-On Labs #2

• Understand the HoodieCleaner service, which helps in cleaning up old and unused data files in Hudi tables. This hands-on lab covers the configuration and usage of HoodieCleaner to maintain data hygiene.

Apache Hudi Table Services | Export Services | HoodieSnapshotExporter | Hands-On Labs

• Explore the HoodieSnapshotExporter service for exporting snapshots of Hudi tables. This lab provides step-by-step instructions on setting up and using HoodieSnapshotExporter.

Apache Hudi Table Services | Offline Compaction | HoodieCompactor | Hands-On Labs

• Learn about the HoodieCompactor service, which performs offline compaction to optimize data storage. This hands-on lab demonstrates how to configure and execute offline compaction in Hudi tables.

Conclusion

Mastering Apache Hudi Streamer is essential for anyone involved in big data management and processing. This comprehensive guide, with over 15 hands-on labs, exercise materials, and detailed video tutorials, provides everything you need to become proficient with Apache Hudi. Whether you're a company looking to optimize your data workflows, a data leader wanting to stay ahead, an engineer enhancing your skills, or a developer building scalable systems, this guide will help you achieve your goals. Dive in and start your journey to mastering Apache Hudi Streamer today!