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Comparing Tools For Data Processing Pipelines

The MLOps Blog

This is a difficult decision at the onset, as the volume of data is a factor of time and keeps varying with time, but an initial estimate can be quickly gauged by analyzing this aspect by running a pilot. Also, the industry best practices suggest performing a quick data profiling to understand the data growth.

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How data engineers tame Big Data?

Dataconomy

Solutions for managing and processing high velocity data Data engineers can use various solutions to manage and process high-speed data streams. Some of these solutions include: Stream processing: Stream processing systems, such as Apache Kafka and Apache Flink, can help process high-speed data streams in real-time.