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Managing unstructured data is essential for the success of machine learning (ML) projects. This article will discuss managing unstructured data for AI and ML projects. You will learn the following: Why unstructured data management is necessary for AI and ML projects. How to properly manage unstructured data.
The events can be published to a message broker such as ApacheKafka or Google Cloud Pub/Sub. One popular example of the MapReduce pattern is ApacheHadoop, an open-source software framework used for distributed storage and processing of big data.
Best Big Data Tools Popular tools such as ApacheHadoop, Apache Spark, ApacheKafka, and Apache Storm enable businesses to store, process, and analyse data efficiently. Machine Learning Integration : Built-in ML capabilities streamline model development and deployment.
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