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Databases- What Are They and Why You Need One?

Analytics Vidhya

Introduction Databases are collections of data that computers can access. They are used to store information such as customer records, employee records, and product information. Databases can be divided into two types: relational and non-relational. Relational databases store data in tables that are […].

Database 343
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Traditional vs Vector databases: Your guide to make the right choice

Data Science Dojo

With the rapidly evolving technological world, businesses are constantly contemplating the debate of traditional vs vector databases. In today’s digital world, businesses must make data-driven decisions to manage huge sets of information. Rules are put in place by databases to ensure data integrity and minimize redundancy.

Database 370
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Healthcare revolution: Vector databases for patient similarity search and precision diagnosis

Data Science Dojo

Traditional hea l t h c a r e databases struggle to grasp the complex relationships between patients and their clinical histories. Vector databases are revolutionizing healthcare data management. Unlike traditional, table-like structures, they excel at handling the intricate, multi-dimensional nature of patient information.

Database 361
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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 317
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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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Vector Databases: 10+ Real-World Applications Transforming Industries

Analytics Vidhya

We create more information every day— and most of this data is high-dimensional and complex. Hence, it becomes hard to study using ordinary relational databases. Introduction We are currently living in an age where data is overwhelming us.

Database 302
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Neo4j vs. Amazon Neptune: Graph Databases in Data Engineering

Analytics Vidhya

Introduction Managing complicated, interrelated information is more important than ever in today’s data-driven society. Traditional databases, while still valuable, often falter when it comes to handling highly connected data. Enter the unsung heroes of the data world: graph databases.

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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.