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Understanding these enhances insights into data management challenges and opportunities, enabling organisations to maximise the benefits derived from their data assets. Veracity Veracity refers to the trustworthiness and accuracy of the data. Value Value emphasises the importance of extracting meaningful insights from data.
Understanding these enhances insights into data management challenges and opportunities, enabling organisations to maximise the benefits derived from their data assets. Veracity Veracity refers to the trustworthiness and accuracy of the data. Value Value emphasises the importance of extracting meaningful insights from data.
Log Analysis These are well-suited for analysing log data from various sources, such as web servers, application logs, and sensor data, to gain insights into user behaviour and system performance. Organisations that require low-latency data analysis may find Hadoop insufficient for their needs.
Technologies like ApacheKafka, often used in modern CDPs, use log-based approaches to stream customer events between systems in real-time. Imagine being able to retroactively identify your most valuable customers from three years ago using today’s advanced analytics – that’s the power of persistent staging.
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