гибкая система 8 Web analytics Mobile app analytics Ads analytics Realtime bidding E-commerce analytics Retail Games analytics Video streaming analytics Media & news analytics Social recommendations DDoS protection Application performance monitoring Logs & metrics Security events and logs. SIEM Analytics of corporate networks Telemetry Industrial monitoring Sensor data IoT Self-driving cars Agriculture Scientific datasets Genomics Particle physics Astronomy & astrophysics Econometrics ML feature analytics and research Trading & financial data Fintech Insurance Investment banking Blockchain Gambling

传统的关系型数据库的存储方式丢失了事物之间的关系信息 Relational Table Real World Multi-Context is Preserved with Graph Analytics Source: KDnuggets 图技术全景图—— Graph Technology Landscape 2020 • 图数据库 • 图数据建模 • 图计算引擎 • 图数据集成 可靠，故障自愈，低成本运维 HTAP Hybrid Transactional/Analytical Processing ，高性能图计算引 擎，预置 20 余种图计算算法 ，可扩展的分析引擎支持更复 杂的数据挖掘和机器学习场景 MPP Massively Parallel Processing 架构，大规模集群 分布式存储及并行计 算， Shared Nothing 模式支 持存储计算分离

数据源导入时，可定义规则引擎 TDengine: 与上下游应用的关系 TDengine = Time-Series Database + Caching + Data Subscription + Stream Processing Shell: Command Line Interface High Performance, Cloud Native Simplified Solution for Time-Series TDengine Telegraf Kafka OPC-UA MQTT Broker Clustered Industrial Automated Systems SCADA/HMI Analytics, ML App Python/Matlab/R Java/C/C++/Restful IoT Application Visualization Tool Grafana

use to solve the world’s most complex challenges • We offer solutions to apply location-based analytics to business practices - Visualize and analyze data more effectively - Collaborate and share maps

val++; }; for (var i=0;i<100000;i++) { doSomething(fun); } } Data Processing • Anything that does any amount of work; if possible move to your worker thread. • Gathering