CIO OPINION
Data lakes are where the unfiltered water is , while analytics is the filtering and refining process , extracting value for the company .
Paul Leahy , Country Manager ANZ , Qlik
How to unlock value from data lakes
With data lakes crucial to organizations due to their ability to store large volumes of highly diverse data from multiple sources , Paul Leahy , Country Manager ANZ , Qlik , asks how a data lake can be effectively used to create value for your business .
There ’ s a common saying that data is the new water . Like water , data must be filtered before it is used , but unlike water , data is not limited by supply . That ’ s why companies have for a long time been moving to data lakes , where unfiltered , fast flowing data is stored in massive data dams for future analysis .
Put another way , data lakes are where the unfiltered water is , while analytics is the filtering and refining process , extracting value for the company .
Data lakes are important to organizations due to their ability to store large volumes of highly diverse data from multiple sources . It is this promise of costeffective rapid storage that drove initial interest in data lakes ; organizations wanted to overcome the costs and delays associated with storing data in traditional data warehouses .
So how can you effectively use a data lake to create value for your business ? It starts with a cloud-based model .
The rise of the cloud-based data pond
Early on-premise installations of data lakes faced criticism for perceived challenges with security and governance performance issues , as well as the cost of maintaining and managing dedicated data centers .
Yet modern cloud-based data lakes have helped overcome many of those challenges .
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