Transform data lake to data lakehouse using Apache Iceberg | Real time ETL | Kafka | Data Lake

Опубликовано: 30 Сентябрь 2024
на канале: BI Insights Inc
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🚀 Exciting News! Today we're transforming the open source data lake to a data lakehouse! 🌊📊

🌊 Imagine combining the best of data lakes and data warehouses into one powerful, unified system. That's exactly what a data lakehouse offers! 🌟

🔍 Key Benefits:

Scalability & Flexibility: Easily manage vast amounts of structured and unstructured data.
Cost-Efficiency: Optimize storage costs with tiered data storage.
Real-Time Analytics: Enable faster insights with integrated data processing.
Simplified Architecture: Reduce complexity by consolidating your data ecosystem.
🔗 Whether you’re dealing with big data analytics, machine learning, or real-time data processing, a data lakehouse is the innovative solution that bridges the gap between traditional data warehouses and modern data lakes.

🚀 Embrace the future of data with a data lakehouse and transform the way you handle data!


#apachekafka #datalakehouse #etl

Link to data lake GitHub repo: https://github.com/hnawaz007/pythonda...

Link to Kafka GitHub repo: https://github.com/hnawaz007/pythonda...

Link to the whole series: https://hnawaz007.github.io/datalake....

Link to Kafka Spark series:    • PySpark | Apache Spark  

Link to Data Lake video:    • How to build on-premise Data Lake? | ...  

Link to real-time data analysis using Clickhouse and Streamlit:    • Kafka Real-Time data analysis with St...  

Link to confluent S3 connector: https://www.confluent.io/hub/confluen...

Link to S3 connector configs: https://blog.min.io/kafka_and_minio/

Link to Apache Iceberge Deep Dive video:    • Data Lakehouse workflow Apache Iceber...  

Link to Channel's site:
https://hnawaz007.github.io/
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Topics in this video (click to jump around):
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0:00 - Introduction to Data Lake, Data Lakehouse, Iceberge
1:25 - Create Avro S3 Sink Connector
2:01 - Add db records for Streaming
2:08 - S3 Bucket
2:30 - Trino Create External Table
3:03 - Create Iceberg Table & Insert Data
3:38 - Iceberg DML Opertations - Delete
4:13 - Iceberg Schema Evolution
5:15 - Time Travel
6:07 - Rollback
6:50 - Summary & Recap