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Learn how to get insights from Azure SQL Database: A sample data analytics project using Global Peace Index data

Analytics Vidhya

The post Learn how to get insights from Azure SQL Database: A sample data analytics project using Global Peace Index data appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Are you passionate about the empirical investigation to find.

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In-Database Analytics: Leveraging SQL’s Analytic Functions

KDnuggets

Learn about various SQL Analytic functions like RANK(), NTILE(), CUME_DIST() and more to leverage your data analysis skills to the next level.

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Top 5 University Courses to Learn Databases and SQL

Analytics Vidhya

Introduction Proficiency with databases and SQL is essential for many job choices in today’s tech-driven world, from ambitious software engineers to fledgling data professionals. These courses offer […] The post Top 5 University Courses to Learn Databases and SQL appeared first on Analytics Vidhya.

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Data Modeling Demystified: Crafting Efficient Databases for Business Insights

Analytics Vidhya

Introduction This article will introduce the concept of data modeling, a crucial process that outlines how data is stored, organized, and accessed within a database or data system. It involves converting real-world business needs into a logical and structured format that can be realized in a database or data warehouse.

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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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Top 5 Reasons to Use In-Database Analytics

Teradata

With Teradata Vantage, in-database analytics is built-in, meaning the analytic algorithm is run inside the database. Here are the top reasons you should consider in-database analytics. Read more.

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30+ MCQs on Database Interaction with Python

Analytics Vidhya

Welcome to the Python Database Interaction MCQs! Database interaction is a fundamental aspect of many Python applications, allowing you to store, retrieve, and manipulate data in various database systems. Python provides several libraries such as sqlite3, MySQLdb, psycopg2, and sqlalchemy to interact with databases.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. But today, dashboards and visualizations have become table stakes.

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Leading Advertising and Analytics Company Outperforms With a Graph Database

Xandr, a division of AT&T, has built an identity graph that connects information on people, households, and more. The company is using this graph to provide advertisers an ability to deliver commercials more successfully than ever before. Download the case study to learn more!

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Modern Data Architecture for Embedded Analytics

Every data-driven project calls for a review of your data architecture—and that includes embedded analytics. Before you add new dashboards and reports to your application, you need to evaluate your data architecture with analytics in mind. Expert guidelines for a high-performance, analytics-ready modern data architecture.