🚀 Exciting News! We're covering a powerful integration between Apache Kafka Data Streams and open source Data Lake! 🌊📊

Imagine harnessing the real-time processing power of Apache Kafka with the scalable storage capabilities of MinIO. This dynamic duo is set to transform how we handle real-time data, enabling seamless, high-performance data ingestion, processing, and storage.

🔹 Real-Time Data Ingestion: Stream your data from Kafka to MinIO in real-time, ensuring your data lake is always up-to-date with the latest information.

🔹 Scalability & Flexibility: MinIO’s object storage is designed to scale out with your data, providing a flexible and cost-effective solution for large datasets.

🔹 Seamless Integration: With connectors and tools that bridge Kafka and MinIO, setting up and managing your data pipeline has never been easier.

🔹 Enhanced Analytics: Leverage the combined power of real-time data from Kafka and the extensive storage of MinIO to perform advanced analytics and gain insights faster.

#apachekafka #datalake #etl

Link to data lake GitHub repo: [ Ссылка ]

Link to Kafka GitHub repo: [ Ссылка ]

Link to Kafka Spark series: [ Ссылка ]

Link to Data Lake video: [ Ссылка ]

Link to real-time data analysis using Clickhouse and Streamlit: [ Ссылка ]

Link to confluent S3 connector: [ Ссылка ]

Link to S3 connector configs: [ Ссылка ]

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Topics in this video (click to jump around):
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0:00 - Introduction to Data Stream & Data Lake
0:58 - Tech Stack Overview
2:37 - S3 Sink Connector & Download & Setup
4:32 - S3 Connector Configuration
5:13 - Create S3 Connector
5:42 - Test Kafka and S3 Integration
6:00 - Crate Hive Schema and Table using S3
6:45 - Test and Query External Table
7:44 - End to End Testing of Data Streaming Pipeline
8:29 - Coming Soon & Recap

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