공유 : 0, 조회 : 1, 공감 : 0, 방문 : 0 ; 주제어 ; 빅데이터기법 · Data Technology · 네트워크분석 · 키워드분석 · 클라우드분석 · Big Data Analysis · Network Analysis · Keyword Analysis · Cloud Analysis
Front-end · React Angular Vue.js JavaScript ; Back-end · Java .NET Python PHP Rust C/C++ ; Mobile · iOS Android Flutter React Native Xamarin .NET MAUI ; Cloud · AWS Azure GCP Sharepoint
Big data analytics technologies are a must-have for today's organizations. Test your knowledge of big data analytics tools and strategies.
Advanced Research Techniques Theories Methods and Practices ; Introduction to the database “efficacy of different treatment modalities for lower respiratory tract infections in children” ; Leveraging predictive analytics for strategic decision-making: Enhancing business performance through data-driven insights ; The Impact of Big Data Analytics Capabilities on Decision Making at the Telecommunications Sector in Jordan
Learn how to get practical experience with big data tools and technologies, essential for starting a career in data engineering.
Convergence of Big Data Technologies and Computational Intelligent Techniques Sorry, this Call for Chapters is no longer active. We appreciate your interest in contributing to a future IGI...
Big Data Analysis ; Data Technology ; Network Analysis ; Keyword Analysis ; Cloud Analysis 등재정보 KCI등재 자료형태 학술저널 발행기관 URL http://www.innovation.or.kr 수록면 265-281(17쪽) KCI...
Big data technologies and cloud-based storage solutions enable organizations to store and manage these vast data sets cost-effectively, protecting valuable data from being discarded due to storage limitations. Velocity : Data is being produced at unprecedented speeds, from real-time social media updates to high-frequency stock trading records. The velocity at which data flows into organizations requires robust processing capabilities to capture, process and deliver accurate analysis in near real...
Businesses around the world are using data analysis to make more informed decisions. Discover some of the big data analysis techniques that are used.
Fundamental Analysis via Machine Learning ; Unstructured Data and AI: Fine-Tuning LLMs to Enhance the Investment Process ; Predicting Corporate Bond Illiquidity via Machine Learning