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我目前正在使用Apache Spark 2.3.2并创建一个管道来从文件系统中读取流csv文件，然后将其写入IBM Cloud对象存储。我正在使用Stocator连接器。通过以下配置，对IBM COS的常规读取和写入工作正常。但是，读写流操作会抛出错误： com.ibm.stocator.fs.c...

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在IT领域，企业收购的案例比比皆是。很多大型的企业在自己擅长的领域已经发展的十分成熟，然后通过收购相近或不足的产品线来完善自己的生态圈，扩大横向产品线，以带动企业向纵深发展。 IBM，作为一家在业界极具影响力的企业，于2015年年底狠砸重金收购私有云计算公司Cleversafe，成立IBM云对象存储...

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IBM云对象存储特点简介及适用场景介绍

随着各行各业创新技术的诞生和更加细致的监管要求，比如互联网＋，４K、８K的高清视频，金融领域的双录规定等等，非结构化数据形成了爆发的增长态势，而此刻我们传统的存储世界已经一片焦灼，SAN和NAS面面相觑，面对如此海量的数据存储，二者也束手无策，这时候对象存储挺身而出，以胸纳百川的气概，以动辄上PB级...

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对象存储 OSS

对象存储（Object Storage Service，简称 OSS）是海量、安全、低成本、高可靠的云存储服务，具有与平台无关 RESTful API，能从互联网任何位置访问。OSS 提供标准、低频、归档等类型选择，全面优化存储成本。

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阿里云 JindoFS+OSS 数据上云实战

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基于湖仓一体架构使用MaxCompute对OSS湖数据分析预测

数据湖和数据仓库是当前大数据技术条件下构建分布式系统的两种数据架构设计取向，数据湖偏向灵活性，数据仓库侧重成本、性能、安全、治理等企业级特性。但是数据湖和数据仓库的边界正在慢慢模糊，数据湖自身的治理能力、数据仓库延伸到外部存储的能力都在加强。在这样的背景之下，阿里云MaxCompute率先提出湖仓一体，为业界和用户展现了一种数据湖和数据仓湖互相补充，协同工作的架构。这样的架构同时为用户提供了数据湖的灵活性和数据仓库的诸多企业级特性，将用户使用大数据的总体拥有成本进一步降低。

对象存储 OSS E-MapReduce DataWorks 大数据计算服务 MaxCompute API网关数据湖构建云速搭

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