簡報原連結:https://www.slideshare.net/ssuser35b57e/ai-angular
本演講將引領您以學習 Angular 前端技術為起點,並火力展示當下最熱門的 ChatGPT 作為輔助工具,示範如何透過 AI 工具提升個人技術能力。我們將深入探索 ChatGPT 的原理,並介紹實用的 AI 工具,讓您輕鬆掌握任何知識,拒做 AI 的奴隸!透過本演講,您將發現 AI 不再是一個陌生的存在,而是您的最佳學習夥伴。別錯過這個學習技術的絕佳機會!
簡報原連結:https://www.slideshare.net/ssuser35b57e/ai-angular
本演講將引領您以學習 Angular 前端技術為起點,並火力展示當下最熱門的 ChatGPT 作為輔助工具,示範如何透過 AI 工具提升個人技術能力。我們將深入探索 ChatGPT 的原理,並介紹實用的 AI 工具,讓您輕鬆掌握任何知識,拒做 AI 的奴隸!透過本演講,您將發現 AI 不再是一個陌生的存在,而是您的最佳學習夥伴。別錯過這個學習技術的絕佳機會!
the evolution of data infrastructure at lianjia毅 吕
Yi Lyu is the platform architect and leader of the data infrastructure team at Lianjia.com. Previously, he was a senior engineer at Baidu and an engineer at Sina. As platform architect, his mission is to build a full value chain real estate service platform that promotes industry progress and makes housing transactions easier by sharing information. He focuses on developing Lianjia.com's data assets and infrastructure, which includes housing, customer, behavioral, and transportation data. The infrastructure provides data analysis, querying, APIs, engines, ETL, management, security, and computing capabilities to support the company's products and data-driven work.
the evolution of data infrastructure at lianjia毅 吕
Yi Lyu is the platform architect and leader of the data infrastructure team at Lianjia.com. Previously, he was a senior engineer at Baidu and an engineer at Sina. As platform architect, his mission is to build a full value chain real estate service platform that promotes industry progress and makes housing transactions easier by sharing information. He focuses on developing Lianjia.com's data assets and infrastructure, which includes housing, customer, behavioral, and transportation data. The infrastructure provides data analysis, querying, APIs, engines, ETL, management, security, and computing capabilities to support the company's products and data-driven work.
The document outlines the history of building a big data platform from 2014 to 2016, starting with building a Hadoop cluster in 2014, creating the first data report page in 2015, launching products based on big data also in 2015, developing data analysis products in 2016, and making changes to the platform in 2016. It then transitions to discussing the current state of the big data platform.
The document discusses different technologies for real-time data collection and analysis, including Kafka for collecting and distributing streaming data, Storm for distributed real-time computation, and using PHP and FastCGI to parse real-time logs from Kafka in a Storm topology. It provides an overview of these technologies and their features, and proposes an architecture to collect logs with Kafka, process them with Storm and PHP, and output results through FastCGI.
PHP & Performance document discusses various techniques to improve PHP and web server performance. Some key points:
- Compilation of PHP scripts can consume significant time, opcode caches like APC reduce this.
- Profiling tools like APD and XDebug help identify bottlenecks in PHP code. Optimizations like output buffering, reducing output, content compression and database tuning can improve performance.
- Server configuration like Apache optimizations for file I/O, syscalls and KeepAlive headers also impact performance. PHP settings like disabling register_globals and using opcaches help.
- Application techniques like avoiding unnecessary functions, using class constants, and reducing regex usage in PHP code provide performance benefits.