What is data pipeline architecture?
An example of an AI chatbot conversation about data pipeline architecture.
What is data pipeline architecture?
Data pipeline architecture refers to the design and structure of systems that move data from one place to another, often involving data collection, processing, and storage.
What are the key components of a data pipeline?
The key components include data sources, data ingestion, data processing, data storage, and data visualization.
Can you explain the difference between ETL and ELT?
ETL stands for Extract, Transform, Load, where data is transformed before loading it into the destination. ELT stands for Extract, Load, Transform, where data is loaded first and then transformed.
What tools are commonly used for building data pipelines?
Common tools include Apache Kafka, Apache Spark, AWS Glue, and Google Cloud Dataflow.
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