Data Lake Implementation

Data Lake

Importance of Data Lake
Challenges and Opportunities
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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.

A data lake is a FRAMEWORK that defines standards, processes, and governance to build and manage a centralized repository that allows organizations to store all structured and unstructured data at any scale.

The implementation strategy for a data lake must be repeatable, scalable, and create incremental value through business-driven use cases.

The framework has three basic building blocks

1) Source the data and keep its originality

2) Convert data into information

3) Create Actionable Insights

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