Database VS Data Lake VS Data Warehouse | The Most Important Topic in Interviews | Satyajit Pattnaik

Database VS Data Lake VS Data Warehouse | The Most Important Topic in Interviews | Satyajit Pattnaik

Database vs Data Lake vs Data Warehouse: Understanding the Differences - The Most Important Topic in Interviews

In this video, we will explore the differences between three commonly used data storage solutions: database, data lake, and data warehouse. Understanding these differences is crucial for anyone working with data, and is a topic that is frequently discussed in job interviews.

We will begin by defining each of these terms and discussing their key characteristics. We will then explore the pros and cons of each solution and discuss when it is appropriate to use each one.

We will also compare and contrast the ways in which these solutions are used to store and manage data. We will look at how they handle different types of data, such as structured, semi-structured, and unstructured data.

Finally, we will discuss some common use cases for each of these solutions and provide examples of how they are used in real-world scenarios.

By the end of this video, you will have a clear understanding of the differences between database, data lake, and data warehouse, and be better equipped to answer questions about these topics in job interviews.

#database #datalake #datawarehouse #datamanagement #bigdata #interviewtips #jobinterviews #datascience #dataengineering #dataarchitecture

𝐓𝐢𝐦𝐞𝐋𝐢𝐧𝐞:

✅ 00:00 Introduction
✅ 01:12 What is a Database?
✅ 02:21 What is a Data Warehouse?
✅ 03:53 What is a Data Lake?
✅ 05:18 Data Warehouse Architecture
✅ 05:48 What are Data Marts?
✅ 6:36 Data Lake Architecture
✅ 07:06 Data Warehouse vs Data Lakes

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[vasudeva]

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