[Verse 1]
When your database changes flow like a stream
Debezium captures every single theme
PostgreSQL, MySQL, MongoDB too
Change data capture makes your pipeline true
Binlog and WAL files tell the tale
Of every insert, update without fail
[Chorus]
Three patterns strong, three patterns bright
Moving your data left and right
CDC flows, sinks store away
Connectors working night and day
Debezium streams, S3 saves
JDBC talks, Elasticsearch waves
[Verse 2]
Data lakes need feeding from your Kafka flow
S3 Sink and Azure Blob help data grow
Parquet files and JSON stored secure
Object storage makes your pipeline pure
Partition by time, organize by key
Analytics ready for your team to see
[Chorus]
Three patterns strong, three patterns bright
Moving your data left and right
CDC flows, sinks store away
Connectors working night and day
Debezium streams, S3 saves
JDBC talks, Elasticsearch waves
[Verse 3]
JDBC Source pulls from tables old
JDBC Sink writes stories to be told
Relational bridges built with SQL
Insert and update, connections never dull
From Oracle to Postgres, data moves
Database integration always proves
[Bridge]
MirrorMaker Two replicates across
Cross-cluster streaming, never at a loss
Elasticsearch indexing makes search fast
Document storage built to last
Three patterns dancing in the cloud
Strimzi makes Kafka sing out loud
[Chorus]
Three patterns strong, three patterns bright
Moving your data left and right
CDC flows, sinks store away
Connectors working night and day
Debezium streams, S3 saves
JDBC talks, Elasticsearch waves
[Outro]
From source to sink, the data flows
Through Kubernetes, your knowledge grows
Connector patterns, now you know
Let your streaming pipeline glow