Graph Databases: Applications on Social Media Analytics and Smart Cities

SM Analytics examines NoSQL databases, integrates Neo4j with SM data, uses COVID-19 data for forecasting, and provides insights into supply chain management.

Format: Hardback
Length: 180 pages
Publication date: 13 October 2023
Publisher: Taylor & Francis Ltd

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SM Analytics

Examine NoSQL Databases:

Explore the realm of NoSQL databases, which are designed to handle massive amounts of unstructured and semi-structured data. Understand their key features, such as scalability, flexibility, and ease of data retrieval. Analyze the suitability of NoSQL databases for various use cases, including real-time analytics, big data processing, and IoT data management.

Incorporate Neo4j with SM data:

Integrate Neo4j, a powerful graph database, with your SM data. Utilize Neo4j's graph modeling capabilities to create a visual representation of your data, enabling you to uncover hidden relationships, patterns, and insights. Explore how Neo4j can facilitate data analysis, recommendation systems, and fraud detection by leveraging its graph-based algorithms.

Use COVID-19 data:

Apply your SM analytics skills to analyze COVID-19 data. Study the impact of the pandemic on various aspects of society, such as healthcare, economy, and social behavior. Utilize data from public health agencies, research studies, and social media to develop forecasting models and make informed decisions. Explore how SM analytics can help track the spread of the virus, predict future outbreaks, and develop effective public health strategies.

Perform Forecasting:

Develop forecasting models using your SM analytics expertise. Apply statistical techniques, machine learning algorithms, and data visualization tools to analyze historical data and make predictions about future trends. Explore different forecasting scenarios, such as demand forecasting, sales forecasting, and resource allocation. Apply your forecasting models to various industries, such as retail, healthcare, and finance, to improve decision-making and optimize resource utilization.

In conclusion, SM analytics provides a powerful set of tools and techniques to examine NoSQL databases, incorporate Neo4j with SM data, use COVID-19 data, and perform forecasting. By leveraging these capabilities, organizations can gain valuable insights, make informed decisions, and respond effectively to complex challenges. The field of SM analytics continues to evolve, and practitioners must stay updated with the latest technologies and methodologies to stay ahead of the curve.

Weight: 510g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032024783