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They are responsible for building and maintaining data architectures, which include databases, data warehouses, and data lakes. Their work ensures that data flows seamlessly through the organisation, making it easier for DataScientists and Analysts to access and analyse information.
Setting up a Hadoop cluster involves the following steps: Hardware Selection Choose the appropriate hardware for the master node and worker nodes, considering factors such as CPU, memory, storage, and network bandwidth. ApacheHadoop, Cloudera, Hortonworks). Download and extract the ApacheHadoop distribution on all nodes.
The events can be published to a message broker such as ApacheKafka or Google Cloud Pub/Sub. The message broker can then distribute the events to various subscribers such as data processing pipelines, machine learning models, and real-time analytics dashboards.
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