The power of data, analytics, and machine learning can drive the next era of innovation for businesses. A data lake is increasingly essential for organizations to enable the power of ML/AI and increase data-driven decision making.
The implementation strategy for a data lake must be repeatable, scalable, and create incremental value through business-driven use cases.
1) Source the data and keep its originality
2) Convert data into information
3) Create Actionable Insights
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