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Trends in Information Technologies Using Big Data Analytics Insights from StackExchange and GitHub Data
1.
Trends in InformationTechnologies Using Big Data
Analytics
Insights from StackExchange and
GitHub Data
2.
Objectives of the Study• - Analyze trends in information technologies
(IT)
• - Utilize big data sources such as
StackExchange and GitHub
• - Provide insights for decision-makers and IT
professionals
3.
Data Sources• - StackExchange:
• - A network of Q&A websites on diverse
topics
• - Provides data on technology-related
discussions
• - GitHub:
• - A platform for hosting and collaborating on
software projects
• - Offers data on programming languages and
4.
Methodology• - Data importation into local repositories
• - Data cleaning and preprocessing:
• - Tokenization
• - Stemming
• - Dimensionality reduction
• - Extraction of keywords and their
relationships
• - Selection of key knowledge areas:
• - 20 programming languages
5.
Exploratory Analysis• - Cluster analysis using Gephi
• - Visualization of programming language data
• - Identification of patterns and relationships
6.
Time Series Analysis• - Creation of time series for selected keywords
• - Forecasting trends using R's forecast library
• - Evaluation of forecast accuracy:
• - Mean Magnitude of Relative Error (MMRE)
• - Median Magnitude of Relative Error
(MdMRE)
7.
Key Findings• - Identification of emerging and declining
technologies
• - Insights into programming languages,
databases, cloud services, and mobile OS
trends
• - Recommendations for IT professionals on
skill development
8.
Implications for Decision-Makers• - Data-driven decisions on technology
investments
• - Strategic planning based on technology
adoption trends
• - Resource allocation for training and
development
9.
Conclusion• - Big data analytics provides valuable insights
into IT trends
• - Continuous monitoring of platforms like
StackExchange and GitHub is essential
• - Informed decisions can lead to competitive
advantages in the IT industry
10.
References• - Ozkuran, M. A. (2017). A Study on Trends in
Information Technologies using Big Data
Analytics. arXiv preprint arXiv:1703.09664.
• - StackExchange Data Explorer:
https://data.stackexchange.com/
• - GitHub Archive: https://www.gharchive.org/
programming