Data lakes: Where big businesses dump their excess data, and hackers have a field day
By Mohiuddin AhmedOct 22, 2019
Machines and the internet are woven into the fabric of our society. A growing number of users, devices and applications work together to produce what we now call “big data.” And this data helps drive many of the everyday services we access, such as banking.
A comparison of internet snapshots from 2018 and 2019 sheds light on the increasing rate at which digital information is exchanged daily. The challenge of safely capturing and storing data is becoming more complicated with time.
This is where data warehouses and data lakes are relevant. Both are online spaces used by businesses for internal data processing and storage.
Unfortunately, since the concept of data lakes originated in 2010, not enough has been done to address issues of cybersecurity. These valuable repositories remain exposed to an increasing amount of cyber attacks and data breaches.
A proposed panacea for big data problems
The traditional approach used by service providers is to store data in a data warehouse -- a single repository that can be used to analyze data, create reports and consolidate information.
However, data going into a warehouse needs to be preprocessed. With zettabytes of data in cyber space, this isn’t an easy task. Preprocessing requires a hefty amount of computation done by high-e ..
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