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They are responsible for designing, building, and maintaining the infrastructure and tools needed to manage and process large volumes of data effectively. This involves working closely with dataanalysts and data scientists to ensure that data is stored, processed, and analyzed efficiently to derive insights that inform decision-making.
Real-time Data Stream Analysis: Use Python with libraries like ApacheKafka and Apache Spark to process and analyze real-time data streams from sources like Twitter, sensors, or website logs. Implement real-time analytics to monitor trends or anomalies in the data.
Furthermore, the demand for skilled data professionals continues to rise; searches for “dataanalyst” roles have doubled in recent years as companies seek to harness the power of their data. ApacheKafka), organisations can now analyse vast amounts of data as it is generated.
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