千问千问事业部-领域数据建设专家-杭州
社招全职2年以上地点：杭州状态：招聘♡ 收藏
工作描述
任职要求 1. 具备大规模内容数据处理经验，熟悉Ray、Spark、Flink、Paimon等分布式数据存储及实时&批次计算技术，对网页、文档、图片、音视频等各模态数据的采集、清洗、去重、结构化、特征建设、质量&权威性&时效性评估等关键流程有深入理解。 2. 深刻理解并熟练掌握 AI Agent 的核心技术范式，熟悉主流Agent开发框架和Harness工程，具有Agent落地经验，能基于业务场景拆解和落地skill能力建设。 3. 熟悉数据检索及…
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包括英文材料
Ray+
https://github.com/ray-project/ray
Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
https://www.youtube.com/watch?v=FhXfEXUUQp0
In this video, I'll teach you everything you need to know about Apache Ray!
https://www.youtube.com/watch?v=fMiAyj2kgac
Using powerful machine learning algorithms is easy using Ray.io and Python.
https://www.youtube.com/watch?v=q_aTbb7XeL4
Parallel and Distributed computing sounds scary until you try this fantastic Python library.
Spark+
[英文] Learning Spark Book
https://pages.databricks.com/rs/094-YMS-629/images/LearningSpark2.0.pdf
This new edition has been updated to reflect Apache Spark’s evolution through Spark 2.x and Spark 3.0, including its expanded ecosystem of built-in and external data sources, machine learning, and streaming technologies with which Spark is tightly integrated.
Flink+
https://nightlies.apache.org/flink/flink-docs-release-2.0/docs/learn-flink/overview/
This training presents an introduction to Apache Flink that includes just enough to get you started writing scalable streaming ETL, analytics, and event-driven applications, while leaving out a lot of (ultimately important) details.
https://www.youtube.com/watch?v=WajYe9iA2Uk&list=PLa7VYi0yPIH2GTo3vRtX8w9tgNTTyYSux
Today’s businesses are increasingly software-defined, and their business processes are being automated. Whether it’s orders and shipments, or downloads and clicks, business events can always be streamed. Flink can be used to manipulate, process, and react to these streaming events as they occur.
Paimon+
https://paimon.apache.org/docs/master/concepts/
Apache Paimon is a table format for data lakes that supports batch and streaming workloads.
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