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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 313
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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.

Database 301
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Vector Databases: 10+ Real-World Applications Transforming Industries

Analytics Vidhya

Hence, it becomes hard to study using ordinary relational databases. Vector databases stand out as they can perceive the hidden structures in a customer’s query, detect anomalies […] The post Vector Databases: 10+ Real-World Applications Transforming Industries appeared first on Analytics Vidhya.

Database 299
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Understanding Grant and Revoke in SQL: Managing Database User Permissions

Analytics Vidhya

Introduction In relational databases, retaining information security and integrity is paramount. SQL’s Data Control Language (DCL) empowers you with the essential tools to control user privileges, ensuring only specific people can access and control database items.

SQL 314
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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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Exploring ANN Algorithms in Vector Databases

Analytics Vidhya

Introduction Vector databases have been the fastest-growing database category for a few years, with their relevance growing more in the era of Generative AI. What differentiates them from relational databases is the implementation of ANN algorithms. What are they, you ask?

Database 245
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Top 10 Databases to Use in 2024

Analytics Vidhya

Introduction Many database technologies in contemporary data management meet developers’ and enterprises’ complex and ever-expanding demands. Achieving the best data management results and choosing the appropriate solution for a given […] The post Top 10 Databases to Use in 2024 appeared first on Analytics Vidhya.

Database 315
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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.

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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.