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Designing A Non-Relational Database Engine

Data Engineering Podcast

The default association with the term "database" is relational engines, but non-relational engines are also used quite widely. In this episode Oren Eini, CEO and creator of RavenDB, explores the nuances of relational vs. non-relational engines, and the strategies for designing a non-relational database.

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Setting Up MySQL with Docker: Steps and Configuration

Hevo

MySQL is a relational database management system based on the Structured Query Language (SQL), the most widely used language for accessing and managing database records. This blog talks about the 3 steps you can follow to configure and seamlessly set […] Oracle Corporation backs it up.

MySQL 59
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Relational Model in DBMS: Concepts, Examples

Knowledge Hut

We will also explain relational database model features, usages, types, and other related aspects. And if you have a deep interest in learning about the relational model in DBMS and making a career out of it, you can go for the best MongoDB online course. What is the Relational Model in DBMS? Another issue is cost.

MongoDB 52
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Top 10 Data Science Websites to learn More

Knowledge Hut

The designer must decide and understand the data storage, and inter-relation of data elements. Considering this information database model is fitted with data. It is created for the recovery and control of data in a relational database. It offers various blogs based on above mentioned technology in alphabetical order.

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Top 10 AWS Applications and Their Use Cases [2024 Updated]

Knowledge Hut

I will explore the top 10 AWS applications and their use cases in this blog. AWS, which stands for Amazon Web Services, is a range of cloud computing services, including services for computing power, storage, and databases. That shows how much AWS has to offer, and you must know about it if you’re a cloud computing enthusiast.

AWS 52
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Real-time Data Integration from Oracle to Google BigQuery Using Striim

Striim

Hosted on the Google Cloud Blog, read on to learn how relational databases like Oracle store data but Striim and Google Cloud BigQuery ensure timely and accurate analytics at scale.

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Data Warehouse vs Big Data

Knowledge Hut

In this blog we will explore the fundamental differences between data warehouse and big data, highlighting their unique characteristics and benefits. Data warehouses are typically built using traditional relational database systems, employing techniques like Extract, Transform, Load (ETL) to integrate and organize data.