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Difference Between Data Structure and Database

Knowledge Hut

In this article, I will explore the unique roles of database vs data structure, uncovering their differences and how they work together to handle information in the world of computers. An ordered set of data kept in a computer system and typically managed by a database management system (DBMS) is called a database.

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Highest Paying Data Science Jobs in the World

Knowledge Hut

In this blog post, we will look at some of the world's highest paying data science jobs, what they entail, and what skills and experience you need to land them. What is Data Science? Data science also blends expertise from various application domains, such as natural sciences, information technology, and medicine.

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The Role of Database Applications in Modern Business Environments

Knowledge Hut

Database applications also help in data-driven decision-making by providing data analysis and reporting tools. In this blog, we will deep dive into database system applications in DBMS, and their components and look at a list of database applications. What are Database Applications?

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Introduction to MongoDB for Data Science

Knowledge Hut

The need for efficient and agile data management products is higher than ever before, given the ongoing landscape of data science changes. MongoDB is a NoSQL database that’s been making rounds in the data science community. What is MongoDB for Data Science? Why Use MongoDB for Data Science?

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Azure Data Engineer Job Description [Roles and Responsibilities]

Knowledge Hut

As an Azure Data Engineer, you will be expected to design, implement, and manage data solutions on the Microsoft Azure cloud platform. You will be in charge of creating and maintaining data pipelines, data storage solutions, data processing, and data integration to enable data-driven decision-making inside a company.

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5 Layers of Data Lakehouse Architecture Explained

Monte Carlo

This architecture format consists of several key layers that are essential to helping an organization run fast analytics on structured and unstructured data. A visualization of the flow of data in data lakehouse architecture vs. data warehouse and data lake. Image courtesy of Databricks.

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Data Lakehouse Architecture Explained: 5 Layers

Monte Carlo

This architecture format consists of several key layers that are essential to helping an organization run fast analytics on structured and unstructured data. A visualization of the flow of data in data lakehouse architecture vs. data warehouse and data lake. Image courtesy of Databricks.