阿里云阿里云智能-大数据产品解决方案架构师-区域及出海Data+AI解决方案
社招全职5年以上云智能集团地点：杭州 | 上海状态：停招♡ 收藏
工作描述
任职要求 职位要求： 1、具备5年以上企业级大数据及AI产品全生命周期管理经验，需在产品商业化路径和策略规划、客户价值场景决策及技术演进路线制定方面具有战略把控力，能够精准定位客户数字化转型痛点并制定数据驱动的业务增长方案。具备头部云服务商面向大型互联网企业/行业龙头的大数据解决方案设计与落地经验者优先。 2、具备丰富的企业级大数据或AI应用能力，需在互联网/金融/零售/制造等至少一个垂直领域有完整的大型项目成功案例。要求能够从数据治理、智能分析到商业洞察的全链路构建行业解决方案，具备通过大数据结合AI平台建设实现客户业务价值闭环的实战经验者优先。 3、掌握数据仓库架构设计（含维度建模/OLAP优化）、数据治理体系（数据标准/质量/安全）及分布式计算框架（Hadoop/Spark/Flink等）的底层原理。掌握概率论、数理统计、线性代数等领域核心概念以及在AI领域的应用。了解并掌握统计建模、机器学习、深度学习、NLP等理论概念和应用基础。 4、了解主流云厂商云原生大数据和AI平台（如MaxCompute、EMR、BigQuery、Redshift、DataBricks、PAI等）的商业模…
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包括英文材料
大数据+
https://www.youtube.com/watch?v=bAyrObl7TYE
https://www.youtube.com/watch?v=H4bf_uuMC-g
With all this talk of Big Data, we got Rebecca Tickle to explain just what makes data into Big Data.
数据治理+
https://www.ibm.com/think/topics/data-governance
Data governance is the data management discipline that focuses on the quality, security and availability of an organization’s data.
https://www.youtube.com/watch?v=uPsUjKLHLAg
Building data fabric eliminates the technological complexities of data governance so users can connect to the right data at the right time, regardless of where it resides.
数据仓库+
https://www.youtube.com/watch?v=9GVqKuTVANE
From Zero to Data Warehouse Hero: A Full SQL Project Walkthrough and Real Industry Experience!
https://www.youtube.com/watch?v=k4tK2ttdSDg
系统设计+
https://roadmap.sh/system-design
Everything you need to know about designing large scale systems.
https://www.youtube.com/watch?v=F2FmTdLtb_4
This complete system design tutorial covers scalability, reliability, data handling, and high-level architecture with clear explanations, real-world examples, and practical strategies.
OLAP+
https://www.youtube.com/watch?v=iw-5kFzIdgY
OLAP (for online analytical processing) is software for performing multidimensional analysis at high speeds on large volumes of data from a data warehouse, data mart, or some other unified, centralized data store.
Hadoop+
https://www.runoob.com/w3cnote/hadoop-tutorial.html
Hadoop 为庞大的计算机集群提供可靠的、可伸缩的应用层计算和存储支持，它允许使用简单的编程模型跨计算机群集分布式处理大型数据集，并且支持在单台计算机到几千台计算机之间进行扩展。
[英文] Hadoop Tutorial
https://www.tutorialspoint.com/hadoop/index.htm
Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models.
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.
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