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Enable stakeholder data access with Text-to-SQL RAGs

Start Data Engineering

Enabling Stakeholder data access with RAGs 3.1. Introduction 2. Set up 3.1.1. Pre-requisite 3.1.2. Demo 3.1.3. Key terminology 3.2. Loading: Read raw data and convert them into LlamaIndex data structures 3.2.1. Read data from structured and unstructured sources 3.2.2. Transform data into LlamaIndex data structures 3.3.

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What are Data Access Object and Data Transfer Object in Python?

Analytics Vidhya

This ensures easy […] The post What are Data Access Object and Data Transfer Object in Python? The pattern is not an actual code but a template that can be used to solve problems in different situations. Especially while working with databases, it is often considered a good practice to follow a design pattern.

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Designing and testing for accessibility in GIS and mapping

ArcGIS

Review best practices for designing and testing for accessibility maps and apps throughout the ArcGIS system during the development process.

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Designing and testing for accessibility in GIS and mapping

ArcGIS

Review best practices for designing and testing for accessibility maps and apps throughout the ArcGIS system during the development process.

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Embedded Analytics Insights for 2024

Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format.

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365 Data Science Offers Free Course Access Until Nov. 20

KDnuggets

From November 6 (07:00 PST) to November 20 (07:00 PST), enjoy free unlimited access to 365 Data Science's comprehensive curriculum, interactive courses, practical data projects, and earn industry-recognized certificates—all at no charge.

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The Right Way to Access Dictionaries in Python

KDnuggets

Effectively accessing dictionaries data with Python’s get() and setdefault().

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How to Build Data Experiences for End Users

End users fall into 4 different categories along the data literacy continuum when it comes to their skill level with data: Data challenged: Users have no-to-low levels of analytics skills or data access. Data literate: Users have a comfort level of working with, manipulating, analyzing, and visualizing data.

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The Definitive Guide to Embedded Analytics

Access the Definitive Guide for a one-stop-shop for planning your application’s future in data.

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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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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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5 Early Indicators Your Embedded Analytics Will Fail

Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps.