The challenges with big data with organizations at the scale of Amazon are data silos, difficulty analyzing diverse datasets, data controllership, data security, and incorporating machine learning (ML). Let’s look into these challenges and see how a data lake can help solve them. Data Accessibility With large scale organizations, data is stored in multiple locations, […]
For big organizations at scale, once miscalculated metrics like cost per unit, or delayed data can have a huge impact which can amount to millions of dollars. So, the IT team would be constantly looking for ways to generate more accurate and faster data. That is how Amazon in 2019, built a data lake to […]
We know that private companies and Governments have been gathering big data which consists of media, texts, transactions, logs and many more. Today’s tech market is more viable only to those industries and organizations within these industries that possess the ability to handle and process big data. Big data is basically the huge volume of […]
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