Important Steps To Keep Your Data Lake From Turning Into A Data Swamp

As the repository of data expands with each passing day, deriving meaningful insights from it through analytics has become a challenge. With organizations feeling the need to move this data around for better understanding and collaboration between different departments, data lakes have emerged. In simple terms, these are a large body of raw data where users examine data and extract information from it. However, to use it efficiently, one needs better data governance and management. This is because, without that, it leads to something called ‘data swamps’. While there are many steps one can take to ensure that data lakes do not turn into swamps, we have attempted to explain some of the essential ones: Start With Project-Specific Data One of the biggest reasons for data lakes to