Data Lake Implementation

Data Lake

Overview
Importance of Data Lake
Challenges and Opportunities
Architecture
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Overview

As the power of data, analytics, and machine learning are poised to drive the next era of innovation, organizations are increasingly relying on data lakes to lay the foundation for efficient 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 framework supports the complete lifecycle of data, including:

1) Source the data and keep its originality

2) Convert data into information

3) Create actionable insights


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