The foreign data injected gains unauthorised access to the data lake and manipulates the stored data to mislead users. There are many potential motivators behind such an attack.
Components of data lakes
Data lake architecture can be divided into three components: data ingestion, data storage and data analytics.
Data ingestion refers to data coming into the lake from a diverse range of sources. This usually happens with no legitimate security policies in place. When incoming data is not checked for security threats, a golden opportunity is presented for cyber criminals to inject false data.
The second component is data storage, which is where all the raw data gets dumped. Again, this happens without any sizeable cyber safety considerations.
The most important component of data lakes is data analytics, which combines the expertise of analysts, scientists and data officers. The objective of data analytics is to design and develop modelling algorithms which can use raw data to produce meaningful insights.
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