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CREATING A MODERN ANALY TICS ARCHITECTURE
analytics
Data lakes—The way forward for
future innovation
Data lakes are going mainstream
Data lakes in the cloud are becoming a mainstream strategy for many
organizations, providing promises of greater flexibility in the way data is
handled and made available to decision-makers. A data lake can store raw and
processed data in any format to be transferred and transformed at a later date
as applications and end users demand. The thinking behind the concept is that
the analytics or questions to be applied against the data may have not yet
been identified, and by holding the data in a readily accessible environment,
it is open for future innovation.
Avoid data silos at enterprise level
However, as with any major enterprise data initiative, the concept has to be sold
to the enterprise. Data lakes absorb data from a variety of sources and store it
all in one place, with all the necessary requirements for integration and security.
Data lakes are a response to the eternal problem of data silos, attempting to
bypass these various, fragmented environments to finally maintain data all in one
place. The data lake also reduces the requirement for immediately processing or
integrating the wide variety of data formats that comprise big data.
To learn more, visit Data Lakes and Analytics on AWS.
