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Data is loaded into the Hadoop Distributed File System (HDFS) and stored on the many computer nodes of a Hadoop cluster in deployments based on the distributed processing architecture. However, instead of using Hadoop, data lakes are increasingly being constructed using cloud object storage services.
This includes structured data (like databases), semi-structured data (like XML files), and unstructured data (like text documents and videos). Internet of Things (IoT): Devices such as sensors, smart appliances, and wearables continuously collect and transmit data. It is known for its high fault tolerance and scalability.
This includes structured data (like databases), semi-structured data (like XML files), and unstructured data (like text documents and videos). Internet of Things (IoT): Devices such as sensors, smart appliances, and wearables continuously collect and transmit data. It is known for its high fault tolerance and scalability.
Below are some prominent use cases for Apache NiFi: Data Ingestion from Diverse Sources NiFi excels at collecting data from various sources, including log files, sensors, databases, and APIs. IoT Data Processing With the rise of the Internet of Things (IoT), NiFi is increasingly used to process data generated by IoT devices.
Machine Learning and Predictive Analytics Hadoop’s distributed processing capabilities make it ideal for training Machine Learning models and running predictive analytics algorithms on large datasets. Software Installation Install the necessary software, including the operating system, Java, and the Hadoop distribution (e.g.,
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