Big Data Computing

Herausgeber: Akerkar, Rajendra

• Broschiertes Buch

Produktbeschreibung

Novel approaches and tools have emerged to tackle the challenges of Big Data. Moreover, the technology required for Big Data computing is developing at a satisfactory rate due to market forces and technological evolution. This book presents a mix of theory and industry cases that discuss the technical and practical issues related to Big Data in intelligent information management. It emphasizes the adoption and diffusion of Big Data tools and technologies in real practical applications.

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Produktdetails

• Verlag: Taylor & Francis Ltd (Sales)
• Seitenzahl: 564
• Erscheinungstermin: 2. Oktober 2019
• Englisch
• Abmessung: 231mm x 155mm x 33mm
• Gewicht: 771g
• ISBN-13: 9780367379117
• ISBN-10: 0367379112
• Artikelnr.: 58052832

Autorenporträt

Rajendra Akerkar

Inhaltsangabe

Introduction: Toward Evolving Knowledge Ecosystems for Big Data
Understanding. Tassonomy and Review of Big Data Solutions Navigation. Big
Data: Challenges and Opportunities. Semantic Technologies and Big Data:
Management of Big Semantic Data. Linked Data in Enterprise Integration.
Scalable End-User Access to Big Data. Semantic Data Interoperability: The
Key Problem of Big Data. Big Data Processing: Big Data Exploration. Big
Data Processing with MapReduce. Efficient Processing of Stream Data over
Persistent Data. Big Data and Business: The Economics of Big Data: A Value
Perspective on State of the Art and Future Trends. Advanced Data Analytics
for Business. Big Data Applications: Big Social Data Analysis. Real-Time
Big Data Processing for Domain Experts: An Application to Smart Buildings.
Big Data Application: Analyzing Real-Time Electric Meter Data. Scaling of
Geographic Space from the Perspective of City and Field Blocks and Using
Volunteered Geographic Information. Big Textual Data Analytics and
Knowledge Management.