"大数据校园一卡通分析与可视化平台开发"
版权申诉
131 浏览量
更新于2024-03-08
收藏 30KB DOCX 举报
Summary:
This original bachelor's thesis explores the application of big data technology in various fields through the collection, storage, processing, and analysis of large volumes of data. It discusses methods and techniques for extracting valuable information and insights from massive datasets to support decision-making and business operations.
Target Audience:
This thesis is suitable for students, researchers, and professionals interested in big data technology and those looking to understand how to analyze and apply big data. It provides insights into the basic concepts, technologies, and tools of big data analytics and applications.
Scenarios and Objectives:
The primary focus of this thesis is on the application of big data in different domains, including but not limited to business, finance, healthcare, and social media. It aims to help readers grasp the fundamentals of big data and learn how to analyze and apply data effectively.
Additional Information:
This thesis adopts an empirical research approach, incorporating real-world cases and data analysis to provide concrete application examples and practical experiences. It also covers the latest developments and trends in the big data field to help readers stay updated with industry dynamics.
Keywords:
Big data, data analysis, applications, technology, empirical research, case studies, development trends.
2023-12-01 上传
2023-06-10 上传
2023-02-24 上传
2023-05-30 上传
2023-05-31 上传
2023-07-11 上传
2023-07-25 上传
![](https://profile-avatar.csdnimg.cn/f6cefb18bbd44012a4817b68386982f5_no_name_cao_ni_mei.jpg!1)
usp1994
- 粉丝: 5513
- 资源: 1049
最新资源
- AirKiss技术详解:无线传递信息与智能家居连接
- Hibernate主键生成策略详解
- 操作系统实验:位示图法管理磁盘空闲空间
- JSON详解:数据交换的主流格式
- Win7安装Ubuntu双系统详细指南
- FPGA内部结构与工作原理探索
- 信用评分模型解析:WOE、IV与ROC
- 使用LVS+Keepalived构建高可用负载均衡集群
- 微信小程序驱动餐饮与服装业创新转型:便捷管理与低成本优势
- 机器学习入门指南:从基础到进阶
- 解决Win7 IIS配置错误500.22与0x80070032
- SQL-DFS:优化HDFS小文件存储的解决方案
- Hadoop、Hbase、Spark环境部署与主机配置详解
- Kisso:加密会话Cookie实现的单点登录SSO
- OpenCV读取与拼接多幅图像教程
- QT实战:轻松生成与解析JSON数据