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This podcast explores how graph database and advance analytics can uncover patterns within election - related conversations across social media platforms.
Episodes & Posts
Episodes
Posts
Transcribed
20 MAY 2023 · This podcast explores best practices for efficiently loading data into Neo4j using ETL and ELT pipelines. It discusses data transformation strategies, ingestion performance, data modeling alignment, and techniques for ensuring accuracy and scalability during large-scale imports. Perfect for data engineers, backend developers, and architects working with graph data pipelines and enterprise integrations.
Transcribed
10 APR 2023 · Elections are more than votes; they are complex systems of data and interpretation. This episode dives into how analysts use statistics, technology, and modeling to understand electoral results. Learn how data transforms raw votes into meaningful insights about society.
Transcribed
17 APR 2022 · This podcast explores how graph data science techniques can enhance computer vision tasks by modeling relationships between visual features. It discusses graph-based representations of images and video, object relationship mapping, and how GNNs improve recognition, segmentation, and scene understanding. Perfect for AI researchers, computer vision engineers, and data scientists working at the intersection of vision and graph analytics.
AI-generated content
Transcribed
24 MAR 2022 · This podcast explores how connecting and analyzing Google Sheets data can reveal hidden patterns, relationships, and insights that are not immediately visible in raw tables. It discusses data linking, lightweight graph thinking, pattern detection, and practical ways to improve decision-making using simple but powerful spreadsheet integrations. Perfect for analysts, business users, and productivity enthusiasts who want to unlock deeper value from everyday data tools. This episode includes AI-generated content.
Transcribed
1 OCT 2021 · The provided text introduces an episode titled "The Geometry of Votes: Mapping Modern Democracy," which examines the intersection of quantitative data and political processes. It focuses on the methodologies used to gather and evaluate electoral statistics to uncover hidden shifts in voter habits.
Transcribed
5 JUN 2020 · This podcast explores how Spring Cloud Function integrates with Azure Functions to build flexible, event-driven, serverless applications. It discusses function-based architecture, deployment strategies, cloud portability, and how to achieve a powerful “trifecta” of Spring, serverless, and cloud scalability. Perfect for backend developers, cloud engineers, and architects looking to modernize applications with serverless patterns.
Transcribed
10 FEB 2020 · Technology is rapidly changing how election information is gathered and shared. In this episode, we discuss the rise of digital platforms, real-time reporting, and interconnected data systems in modern elections. Explore how innovation is reshaping transparency and access in democratic processes.
This podcast explores how graph database and advance analytics can uncover patterns within election - related conversations across social media platforms.
Information
| Author | Terrence C |
| Organization | Terrence C |
| Categories | Technology |
| Website | - |
| dagr1nch718@gmail.com |
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