data.jsonl

{"pattern":"ETL","description":"Extract, Transform, Load pipeline for data processing","use_case":"Data warehousing"}
{"pattern":"ELT","description":"Load raw data then transform inside the warehouse","use_case":"Cloud analytics"}
{"pattern":"Batch Processing","description":"Process large volumes of data at intervals","use_case":"Daily reports"}
{"pattern":"Stream Processing","description":"Process data in real time","use_case":"Event analytics"}
{"pattern":"Data Lake","description":"Centralized storage for structured and unstructured data","use_case":"Big data analytics"}

README.md

@@ -0,0 +1,11 @@
+---
+license: mit
+task_categories:
+- feature-extraction
+language:
+- en
+---
+
+# Data Engineering Patterns Dataset
+
+Common data engineering patterns with descriptions and use cases.