http://www.infoq.com/articles/bigdata-analytics-for-security This article first appeared in the IEEE Security & Privacymagazine and is brought to you by InfoQ & IEEE Computer Society. Enterprises routinely collect terabytes of security-relevant da…

Each of the five Amazon Web Services (AWS) certifications brings in an average salary of more than $100,000. There are more than 685,000 Project Management Professionals (PMPs) worldwide, and their average annual salary is $116,094. Each of the five…

1. Hadoop It would be impossible to talk about open source data analytics without mentioning Hadoop. This Apache Foundation project has become nearly synonymous with big data, and it enables large-scale distributed processing of extremely large data…

ABSTRACT Recent technological advancement have led to a deluge of data from distinctive domains (e.g., health care and scientific sensors, user-generated data, Internet and financial companies, and supply chain systems) over the past two decades. The…

Assessment TaskIAB303 Data Analyticsfor Business InsightSemester I 2019Assessment 2 – Data Analytics NotebookName Assessment 2 – Data Analytics NotebookDue Sun 28 Apr 11:59pmWeight 30% (indicative weighting)Submit Jupyter Notebook via BlackboardRatio…

<Data Structures and Algorithm Analysis in C>学习与刷题笔记 为什么要学习DSAAC? 某个月黑风高的夜晚,下班的我走在黯淡无光.冷清无人的冲之大道上,同时心里冒出一个强烈的想法:我不要再过这种无休止地加班.整天干着繁重琐碎的事情的生活了!我要回去读书!我要考研!在接下来的一个多月中,我不断在考研和换工作之间徘徊,最后我得出一个结论:我不知道读研好还是换工作好,但我知道把自己感兴趣的知识学好总不会错.数据结构是我们专业大二下学期的一门选修课,但当时正…

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1. 摘要 数据是每项技术业务的支柱,作为一个健康医疗技术平台,Halodoc 更是如此,用户可以通过以下方式与 Halodoc 交互: 送药 与医生交谈 实验室测试 医院预约和药物 所有这些交互都会产生高度敏感.多样化且通常是非结构化的数据. 因此随着公司的成长,必须拥有一个强大的数据平台,平台需要满足如下需求: 确保数据的隐私和安全 在处理结构化和半/非结构化数据时可靠.可扩展.快速且高可用 促进为业务/运营团队生成报告和实时仪表板 为数据科学团队提供一个平台来运行实验.模型和存储结果 2.…

What is Spark Apache Spark is a cluster computing framework, similar to Apache Hadoop. Wikipedia has a great description of it: Apache Spark is an open source cluster computing framework originally developed in the AMPLab at University of California,…

In my last article, I stated that for practitioners (as opposed to theorists), the real prerequisite for machine learning is data analysis, not math. One of the main reasons for making this statement, is that data scientists spend an inordinate amoun…