Big Data Architecture, Technologies and Applications
Big data architecture is intended to deal with the ingestion, handling, and investigation of information that is excessively enormous or complex for traditional database frameworks.
Few most commonly used technologies of big data are:
- The Hadoop Ecosystem
- Apache Spark
- R
- NoSQL Databases
- Hive
- Sqoop
- PolyBase
Big data applications in present world:
- Big Data in Retail
- Big Data in Healthcare
- Big Data in Education
- Big Data in E-commerce
- Big Data in Media and Entertainment
- Big Data in Finance
- Big Data in Travel Industry
- Big Data in Telecom
- Big Data in Automobile
Related Conference of Big Data Architecture, Technologies and Applications
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Big Data Architecture, Technologies and Applications Conference Speakers
Recommended Sessions
- Artificial Intelligence and Machine Learning
- Big Data Analytics and Data Science
- Big Data Architecture, Technologies and Applications
- Big Data Models and Algorithms
- Bioengineering and Bio-Mechanics
- Computer Graphics and Multimedia
- Computer Science and Information Technology
- Cyber Security, Ethics, Privacy and Trust
- Data Mining and Cloud Computing
- Data Warehousing and Data Management
- Homeland Security and Data Analysis
- Humanoid Robotics, Planning and Control
- Integrated and Distributed Systems
- IoT, Autonomous Systems and Agents
- Neural Networks and Cognitive Computing
- Robotics, Automation and Mechatronics
- Semantic, Scalable Computing and Mobile Computing
- Sensors, Networks, Devices
- Software Engineering and Programming
- Virtual Reality (VR) and Gaming
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