Organizations worldwide are facing the challenge of effectively analyzing their exponentially growing data stores. The term ‘Big Data’ is becoming obsolete as we face data stores of massive new proportions. Today’s businesses increasingly rely on leveraging these growing data stores to extract actionable insights into customer behavior, security anomalies, risk analysis, stock and inventory predictions and more. This shift to a data-driven approach has caused many organizations to store their data in large data lakes, but the platforms that analyze the data struggle with the velocity and variety of data.
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