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The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , datawarehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.
Informed Development: Sticky users provide invaluable feedback, guiding future product iterations that keep users engaged. EmbeddedAnalytics Insights for 2024 Download Now While implementation and maintenance are crucial aspects, they shouldn’t overshadow the core features that drive user engagement.
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