An Overview of Key Components of a Data Pipeline

This is an article from DZone's 2022 Data Pipelines Trend Report.

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With the consistent growth of data-driven applications, the complexities of consolidating data from multiple sources for streamlined decision making is often considered a key challenge. While data forms the foundation of analytics and operational efficiency, processing big data requires holistic data-driven strategies for real-time ingestion and processing. To help with this, data pipelines enable organizations to aggregate and analyze huge datasets by defining a series of activities that convert raw data into actionable insights. 

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