#scala #analytics #data #data_collection #data_pipeline #marketing_analytics #product_analytics #snowplow #snowplow_events #snowplow_pipeline

https://github.com/snowplow/snowplow

#java #apache #data_integration #data_pipeline #etl_framework #high_performance #offline #real_time #seatunnel #sql_engine

https://github.com/apache/incubator-seatunnel

#java #data #data_engineering #data_orchestration #data_orchestrator #data_pipeline #dataflow #elt #etl #kestra #orchestration #pipeline #scheduler #workflow #workflow_automation #workflow_engine

https://github.com/kestra-io/kestra

#java #big_data #data_integration #data_lake #data_pipeline #data_synchronization #flink #high_performance #real_time

https://github.com/bytedance/bitsail

#go #data #data_engineering #data_pipeline #data_stream_processing #data_streaming #golang #kubernetes #messaging_queue

https://github.com/memphisdev/memphis-broker

#java #bigdata #data_encryption #data_pipeline #database #database_cluster #database_gateway #database_middleware #distributed_database #distributed_sql_database #distributed_transaction #encrypt #mysql #postgresql #read_write_splitting #shard #sql

Apache ShardingSphere is a powerful tool that helps manage and scale databases. It allows you to break down large databases into smaller pieces (sharding), handle more data traffic (scaling), and secure your data with encryption. This tool works with any database and provides a unified way for applications to interact with multiple databases as if they were one.

The benefits include Your database can handle more data and users without slowing down.
- **Improved Security** Applications only need to communicate with one standardized service, making it simpler to manage.
- **Flexibility**: You can customize the tool to fit your needs using its pluggable architecture.

Overall, Apache ShardingSphere makes managing and scaling databases much easier and more efficient.

https://github.com/apache/shardingsphere

#java #batch #cdc #change_data_capture #data_integration #data_pipeline #distributed #elt #etl #flink #kafka #mysql #paimon #postgresql #real_time #schema_evolution

Flink CDC is a tool that helps you move and transform data in real-time or in batches. It makes data integration simple by using YAML files to describe how data should be moved and transformed. This tool offers features like full database synchronization, table sharding, schema evolution, and data transformation. To use it, you need to set up an Apache Flink cluster, download Flink CDC, create a YAML file to define your data sources and sinks, and then run the job. This benefits you by making it easier to manage and integrate your data efficiently across different databases.

https://github.com/apache/flink-cdc