Remove Data Storage Remove Media Remove NoSQL
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Implementing the Netflix Media Database

Netflix Tech

In the previous blog posts in this series, we introduced the N etflix M edia D ata B ase ( NMDB ) and its salient “Media Document” data model. A fundamental requirement for any lasting data system is that it should scale along with the growth of the business applications it wishes to serve.

Media 101
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Amazon RDS vs. DynamoDB-A Comprehensive Comparison

ProjectPro

The relational databases- Amazon Aurora , Amazon Redshift, and Amazon RDS use SQL (Structured Query Language) to work on data saved in tabular formats. Amazon DynamoDB is a NoSQL database that stores data as key-value pairs. NoSQL Document Database. Data Model Structured data with tables and columns.

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How To Choose Right AWS Databases for Your Needs

ProjectPro

They include relational databases like Amazon RDS for MySQL, PostgreSQL, and Oracle and NoSQL databases like Amazon DynamoDB. Database Variety: AWS provides multiple database options such as Aurora (relational), DynamoDB (NoSQL), and ElastiCache (in-memory), letting startups choose the best-fit tech for their needs.

AWS 40
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RDBMS vs NoSQL: Key Differences and Similarities

Knowledge Hut

Making decisions in the database space requires deciding between RDBMS (Relational Database Management System) and NoSQL, each of which has unique features. RDBMS uses SQL to organize data into structured tables, whereas NoSQL is more flexible and can handle a wider range of data types because of its dynamic schemas.

NoSQL 52
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Big Data Technologies that Everyone Should Know in 2024

Knowledge Hut

Each of these technologies has its own strengths and weaknesses, but all of them can be used to gain insights from large data sets. As organizations continue to generate more and more data, big data technologies will become increasingly essential. Let's explore the technologies available for big data.

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How to Become a Big Data Developer-A Step-by-Step Guide

ProjectPro

This blog is your ultimate gateway to transforming yourself into a skilled and successful Big Data Developer, where your analytical skills will refine raw data into strategic gems. So, get ready to turn the turbulent sea of 'data chaos' into 'data artistry.'

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30+ Data Engineering Projects for Beginners in 2025

ProjectPro

Dataset: Simulated Apple Health Data Skills Developed: Health data preprocessing and analysis Insight extraction using Amazon Redshift Visualizing activity trends with QuickSight 9) Build a Reddit Data Engineering Pipeline Extracting data from social media platforms has become essential for data analysis and decision-making.