What are the biggest challenges in handling Big Data?

<p><span data-preserver-spaces="true">Here are some of the biggest challenges in handling Big Data:</span></p><ul><li><span data-preserver-spaces="true">As the volume of data increases, so do the risks related to cybersecurity. Protecting sensitive information from breaches becomes increasingly complex. </span></li><li><span data-preserver-spaces="true">Maintaining high-quality data is crucial. Ensuring that the data is clean, structured, and useful requires ongoing effort and effective management strategies. </span></li><li><span data-preserver-spaces="true">With the demand for real-time analytics, organizations must be able to process large amounts of data efficiently. This necessitates robust systems that can handle high transaction volumes without slowing down operations. </span></li><li><span data-preserver-spaces="true">As datasets continue to grow, organizations must ensure their infrastructure can scale accordingly. This involves managing performance issues that may arise as the amount of data increases.</span></li></ul>

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