From the course: Transition from Data Science to Data Engineering
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Introduction to data lake
From the course: Transition from Data Science to Data Engineering
Introduction to data lake
- [Narrator] Data lake is another data storage option for data engineers. So what exactly is a data lake? Think of it as a massive reservoir capable of storing vast amounts of raw and unprocessed data, structured, semi-structured and unstructured, all in its purest form. It's a central repository that allows organizations to collect, store, and analyze data from various sources without the need for upfront schema or data transformation. With data lakes, we can capture data from diverse sources, like databases, social platforms, IOT devices, and more. This flexibility enables organizations to capture data in its raw state, preserving its original structure and fidelity. The beauty of data lakes lies in their ability to accommodate both structured and unstructured data, providing a unified platform for analysis. This allows data scientists, analysts, and other stakeholders to explore and extract insights from various data types within a single environment. Now let's talk about the…
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