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Difference Between Non Relational Database and Relational Database

Analytics Vidhya

For everything to be well coordinated you require tools that will effectively manage the orders, stocks and […] The post Difference Between Non Relational Database and Relational Database appeared first on Analytics Vidhya.

Database 269
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What is Graph Database?

Analytics Vidhya

Introduction As data scales and characteristics shift across fields, graph databases emerge as revolutionary solutions for managing relationships. Unlike relational databases that use tables and rows, graph databases excel in handling complex networks. This article provides […] The post What is Graph Database?

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What is Denormalization in Databases?

Analytics Vidhya

This is similar to denormalization in databases: by intentionally introducing redundancy and simplifying data storage, it speeds up data retrieval and makes complex queries faster and more […] The post What is Denormalization in Databases? appeared first on Analytics Vidhya.

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Database Optimization: Efficient Storage and Retrieval with Vector Databases

Data Science Dojo

In the dynamic world of machine learning and natural language processing (NLP), database optimization is crucial for effective data handling. Hence, the pivotal role of vector databases in the efficient storage and retrieval of embeddings has become increasingly apparent.

Database 273
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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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What is a Vector Database?

Analytics Vidhya

Introduction The use of vector databases has revolutionized data administration. Traditional databases use tables and rows to store and query structured data. They primarily address the requirements of contemporary applications handling high-dimensional data. appeared first on Analytics Vidhya.

Database 273
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Relational Database vs Graph Database: A Comparison Guide

Analytics Vidhya

Introduction When it comes to managing and organizing data, two popular options are relational databases and graph databases. Both have their unique strengths and weaknesses, making them suitable for different use cases.

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Modern Data Architecture for Embedded Analytics

You’ll learn: 7 approaches to data architecture for embedded analytics—from a transactional database to a columnar or in memory database. Discover the pros and cons of each approach, plus how to choose the right architecture for your business priorities, timeline, and customers.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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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.