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MSSQL vs MySQL: Comparing Powerhouses of Databases

Analytics Vidhya

Introduction In the bustling arena of database management systems, two heavyweight contenders emerge, each carrying its arsenal of features and capabilities. In one corner, we have the suave and sophisticated Microsoft SQL Server (MSSQL), donned in the elegance of enterprise-level prowess.

MySQL 228
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Readings in Streaming Database Systems

Confluent

What will the next important category of databases look like? For decades, relational databases were the undisputed home of data. They powered everything: from websites to analytics, from customer data […].

Database 119
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Building An Internal Database As A Service Platform At Cloudflare

Data Engineering Podcast

Summary Data persistence is one of the most challenging aspects of computer systems. In the era of the cloud most developers rely on hosted services to manage their databases, but what if you are a cloud service? It’s the only true SQL streaming database built from the ground up to meet the needs of modern data products.

Database 130
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Difference Between Data Structure and Database

Knowledge Hut

Think of a database as a smart, organized library that stores and manages information efficiently. On the other hand, data structures are like the tools that help organize and arrange data within a computer program. What is a Database? SQL, or structured query language, is widely used for writing and querying data.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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A Data Mesh Implementation: Expediting Value Extraction from ERP/CRM Systems

Towards Data Science

ERP and CRM systems are designed and built to fulfil a broad range of business processes and functions. This generalisation makes their data models complex and cryptic and require domain expertise. Searching for data Imagine being a data engineer/analyst tasked with identifying the top-selling products within your company.

Systems 83
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A Comprehensive Guide to Pinecone Vector Databases

KDnuggets

This blog discusses vector databases, specifically pinecone vector databases. A vector database is a type of database that stores data as mathematical vectors, which represent features or attributes. These vectors have multiple dimensions, capturing complex data relationships.