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The bit that I’ve highlighted in bold is the most important part of the definition in my opinion. We’re going to assume that the pizza service already captures orders in ApacheKafka and is also keeping a record of its customers and the products that they sell in MySQL.
For instance, if you are working with several high-definition videos, storing them would take a lot of storage space, which could be costly. Popular data lake solutions include Amazon S3 , Azure Data Lake , and Hadoop. Kafka is highly scalable and ideal for high-throughput and low-latency data pipeline applications.
Definition and Explanation of Data Pipelines A data pipeline is a series of interconnected steps that ingest raw data from various sources, process it through cleaning, transformation, and integration stages, and ultimately deliver refined data to end users or downstream systems.
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