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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.

Database 417
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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 303
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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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7 Best Cloud Database Platforms

KDnuggets

Cloud databases have made it easier and cheaper to develop enterprise-level applications, offering flexibility, convenience, and standard database functionality. See what KDnuggets recommends.

Database 370
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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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5 Free University Courses to Learn Databases and SQL

KDnuggets

Looking to learn SQL and databases to level up your data science skills? Learn SQL, database internals, and much more with these free university courses.

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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. Hence, databases are important for strategic data handling and enhanced operational efficiency. Hence, databases are important for strategic data handling and enhanced operational efficiency.

Database 370
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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.