技术专区
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03 程序化编程:变量和控制流介绍
03 程序化编程:变量和控制流介绍 变量和控制流介绍 让我们看看下面的程序: {01_variables1.py} 如果你去 03_procedural_programming 目录和类型 蟒蛇01_variables1.py, 您将在屏幕上看到 5. 让我们像解释器那样…
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A Detailed Explanation of ODI Knowledge Modules LKM & IKM
by Ashok Das Another article in Ashok's series where he examines Oracle Data Integrator (ODI) Knowledge Modules (KM). For an basic introductory overview, check out 'What is an ODI Knowledg…
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NYPD Analytics: Fighting Crime With A Business Intelligence Dashboard
by Jaime Seagraves The New York Police Department has developed what they are calling a hi-tech analytical dashboard tool that collects crime and event data around the city. This Domain Awareness Sys…
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Java学习-第一部分-第二阶段-项目实战:坦克大战【3】
坦克大战【3】 笔记目录:(https://www.cnblogs.com/wenjie2000/p/16378441.html) 坦克大战0.6版 √增加功能 防止敌人坦克重叠运动 记录玩家的成绩(累积击毁敌方坦克数),存盘退出【io流】 记录当时的敌人坦克坐标…
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A Detailed Explanation of ODI Knowledge Modules LKM & IKM
by Ashok Das Another article in Ashok's series where he examines Oracle Data Integrator (ODI) Knowledge Modules (KM). For an basic introductory overview, check out 'What is an ODI Knowledg…
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NYPD Analytics: Fighting Crime With A Business Intelligence Dashboard
by Jaime Seagraves The New York Police Department has developed what they are calling a hi-tech analytical dashboard tool that collects crime and event data around the city. This Domain Awareness Sys…
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Converting Hyperion IR (Brio) to OBIEE
by Sridhar Kasthuri Converting Hyperion Interactive Reporting (Brio) to OBIEE What is Hyperion Interactive Reporting (Brio)? Interactive Reporting was originally developed by Brio Software and distri…
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VMware Workstation pro14 虚拟机下安装CentOS6.5图文教程
VMware Workstation pro14 虚拟机下安装CentOS6.5图文教程 <h1 id="h1-vmware-workstation-pro14-centos6-5-"><a name="VMware Workstation pro14 虚拟机下安装CentOS6.5图文教程" class="reference-link"…
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zabbix监控Linux和Windows
zabbix监控Linux和Windows 目录 zabbix监控Linux和Windows zabbix监控Linux linux部署agentd 创建监控主机 创建主机组并加入主机 模板方式添加监控项 手动添加监控项 添加触发器 添加邮箱媒介 配置动作 添加动作 手…
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索引-缺失、使用情况SQL语句
查询当前数据库中缺失的索引,知道你进行优化的参考 SELECT user_seeks * avg_total_user_cost * ( avg_user_impact * 0.01 ) AS [index_advantage] , migs.last_user_seek , --上一次访问时间 mid.[statement] AS …