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Why Should You Choose Fast GraphRAG Over Vector Databases?

Analytics Vidhya

With its ability to dynamically generate knowledge graphs and seamlessly integrate them into production environments, […] The post Why Should You Choose Fast GraphRAG Over Vector Databases? appeared first on Analytics Vidhya.

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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 316
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NEW RESEARCH: Growing Database Complexity Will Fuel Significant Skills Gaps in 2024

insideBIGDATA

Increasing complexity, the rapid adoption of emerging technologies and a growing skills gap are the biggest concerns facing IT leaders in 2024, according to The State of the Database Landscape,a major new survey from end-to-end Database DevOps provider Redgate.

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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.

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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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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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Neo4j Transforms Its Cloud Database Portfolio to Accelerate Graph Adoption & GenAI for the Enterprise

insideBIGDATA

Graph database and analytics leader Neo4jⓇ announced a major transformation of its Aura cloud database management system (DBMS) portfolio – making it dramatically easier for enterprises to try, build, and accelerate graph in production for any workload or use case.

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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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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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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.