How to Design Streaming Data Pipelines for Open, Distributed, and Elastic Cloud Platforms
ABSTRACT :
To build the right streaming data pipeline, you need to understand its target--which more and more is a cloud data platform.
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To build the right streaming data pipeline, you need to understand its target--which more and more is a cloud data platform.
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Effective machine learning requires teamwork among business owners, data scientists, data engineers, machine learning engineers, and DevOps engineers.
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Effective MLOps means implementing and operating machine learning models, monitoring their performance, and quickly iterating when things go sideways.
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To build a machine learning model, choose an ML technique and feed data to its algorithm to train it. You make changes until you have an accurate ML model.
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The lifecycle of machine learning projects spans data and feature engineering, model development, and ML operations or MLOps.
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