Delta Lake essential Fundamentals: Part 4 - Practical Scenarios
🎉 Welcome to the 4th part of Delta Lake essential fundamentals: the practical scenarios! 🎉
There are many great features that you can leverage in delta lake, from the ACID transaction, Schema Enforcement, Time Traveling, Exactly One semantic, and more.
Let’s discuss two common data pipelines patterns and solutions:
Spark Structured Streaming ETL with DeltaLake that serves multiple Users
Spark Structured Streaming- Apache Spark structured steaming are essentially unbounded tables of information. There is a continuous stream of data ingested into the system. As developers, we write the code to process the data continuously. ETL stands for Extract, Transform and Load.
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