Mesa的定义并没有反映出他的特点,因为分布式,副本,高可用,他都是依赖google的其他基础设施完成的 他最大的特点是,和传统数仓比,可以做到near real-time的返回聚合的查询结果 算入实时数仓的范围,做到数据一致性,高吞吐的写入,并提供较好的查询性能 所以Mesa的核心是Storage Subsystem如何设计的, 提出一个数仓的经典问题, 提出,dimensional和measure attributes的概念,那么一般dimensional具备hierarchical的特点,…

Data mining is the process of finding patterns in a given data set. These patterns can often provide meaningful and insightful data to whoever is interested in that data. Data mining is used today in a wide variety of contexts – in fraud detection, a…

Druid一种实时数仓,针对的场景和目的,如下比较明确 Druid was originally designed to solve problems around ingesting and exploring large quantities of transactional events (log data). Our goal is to rapidly compute drill-downs and aggregates(roll-ups) over this data. 这篇文章主要…

转自:http://blog.163.com/guaiguai_family/blog/static/20078414520138911393767/ http://sites.computer.org/debull/A12june/pipeline.pdf这一套可以成为互联网公司的标准基础架构了,摘要如下: 把数据的 source of truth 放在数据总线里,而非 Hadoop 和数据仓库里.这是个很违反直觉的做法,但得益与 Kafka 巧妙的数据持久性以及分区.备份的设计,数据总线成了…

不可 Kimball维度建模 维度建模,而非数据建模 文本型度量是对某些事情的描述.虽然以文本方式度量事实是可行的,但是应将其放入维度表中,除非对事实表的每个行,其文本是唯一的. 数据仓库的好坏直接取决于维度属性的设置:DW/BI环境的分析能力直接取决于维度属性的质量和深度. [简单:易理解 性能好:查询快] [事实 维度属性] 数字量: 连续:事实 离散:维度属性,来自一个不太大列表的离散数字基本可认为是维度属性. [业务决策] 应更多关注支持业务决策的维度展现区域,而非构建规范化结构 [规范…

Abstract 互联网应用通常会产生大量的时间日志需要进行分析和处理.本文介绍Ubiq的架构,它是一个分布式系统,用于处理不断增长的日志文件,具有可扩展性.高可用.低延迟的特性.Ubiq框架容忍基础设施退化和数据中心级别的中断问题,无需人工干预.并且它支持exactly-once语义以将日志作为事件的集合进行处理.Ubiq已经应用于Google的广告系统多年,生产环境证明了机器资源的线性可扩展性,以及基础设置故障的情况下的高可用性和一分钟内的端到端的延迟. 1. Introduction 当今…

[it-ebooks]电子书列表   [2014]: Learning Objective-C by Developing iPhone Games || Leverage Xcode and Objective-C to develop iPhone games http://it-ebooks.info/book/3544/Learning Web App Development || Build Quickly with Proven JavaScript Techniques http:…

http://engineering.linkedin.com/distributed-systems/log-what-every-software-engineer-should-know-about-real-time-datas-unifying 主要的思想, 将所有的系统都可以看作两部分,真正的数据log系统和各种各样的query engine 所有的一致性由log系统来保证,其他各种query engine不需要考虑一致性,安全性,只需要不停的从log系统来同步数据,如果数据丢失或c…

源文地址 (September 2008) For the last couple of years, I've been working on European Space Agency (ESA) projects - writing rather complex code generators. In the ESA project I am currently working on, I am also the technical lead; and I recently faced t…

https://github.com/onurakpolat/awesome-bigdata A curated list of awesome big data frameworks, resources and other awesomeness. Inspired by awesome-php, awesome-python, awesome-ruby, hadoopecosystemtable & big-data. Your contributions are always welco…

Explore the configuration changes that Cigna’s Big Data Analytics team has made to optimize the performance of its real-time architecture. Real-time stream processing with Apache Kafka as a backbone provides many benefits. For example, this architect…

Database https://en.wikipedia.org/wiki/Database A database is an organized collection of data.[1] A relational database, more restrictively, is a collection of schemas, tables, queries, reports, views, and other elements. Database designers typically…

http://highlyscalable.wordpress.com/2013/08/20/in-stream-big-data-processing/   Overview In recent years, this idea got a lot of traction and a whole bunch of solutions like Twitter's Storm, Yahoo's S4, Cloudera's Impala, Apache Spark, and Apache Tez…

A Small Definition of Big Data The term "big data" seems to be popping up everywhere these days. And there seems to be as many uses of this term as there are contexts in which you find it: 'big data' is often used to refer to any dataset that is…

In particular embodiments, a method includes, from an indexer in a sensor network, accessing a set of sensor data that includes sensor data aggregated together from sensors in the sensor network, one or more time stamps for the sensor data, and metad…

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…

Course textbooks Text 1: M. T. Oszu and P. Valduriez, Principles of Distributed Database Systems, 2nd ed., Prentice-Hall, 1999.Errata Text 2: J. Han and M. Kamber, Data Mining: Concepts and Techniques, Morgan Kaufmann, 2000.Errata Lecture Schedule Th…

微软近期Open的职位: Extracting accurate, insightful and actionable information from data is part art and part science and full of interesting puzzles and challenges. In Office 365 business, we rely heavily on using the insights gained from data to guide fea…

微软近期Open的职位: Job Description:Extracting accurate, insightful and actionable information from data is part art and part science and full of interesting puzzles and challenges. In Office 365 business, we rely heavily on using the insights gained from d…

传统分类问题,即多类分类问题是,假设每个示例仅具有单个标记,且所有样本的标签类别数|L|大于1,然而,在很多现实世界的应用中,往往存在单个示例同时具有多重标记的情况. 而在多分类问题中,每个样本所含标签是类别集合的非空子集,近年来,在机器学习和数据挖掘等相关领域,多类分类问题得到广泛研究.其原因主要有:1. 应用领域非常广泛.如,多媒体信息检索,推荐,查询分类,医疗诊断等.2. 一些挑战性的研究问题涉及到多类分类问题.例如,处理能从大量类别中,处理稀少类别并且发现之间的关系等. 目前,对多标记分…

    1 About DB Query Analyzer DB Query Analyzer is presented by Master Genfeng,Ma from Chinese Mainland. It has English version named 'DB Query Analyzer'and Simplified Chinese version named   . DB Query Analyzer is one of the few excellent Client Too…

How to generate the complex data regularly to Ministry of Transport of P.R.C by DB Query Analyzer 1 About DB Query Analyzer DB Query Analyzer is presented by Master Genfeng, Ma from Chinese Mainland. It has English version named 'DB Query Analyzer' a…

Solution in glance The following diagram illustrates our solution where IoT device reports readings to web site and users can see readings in real time. There is IoT device that reports sensors readings to ASP.NET Core application. Users open the sit…

Open source software has become a fundamental building block for some of the biggest websites. And as those websites have grown, best practices and guiding principles around their architectures have emerged. This chapter seeks to cover some of the ke…

51 Free Data Science Books A great collection of free data science books covering a wide range of topics from Data Science, Business Analytics, Data Mining and Big Data to Machine Learning, Algorithms and Data Science Tools. Data Science Overviews An…

http://www.cmo.com/features/articles/2016/3/9/data-decisions-dsp-vs-dmp.html As marketers assess their requirements for marketing technology, the question facing many looking for platforms rather than tools and systems will be whether to invest in a…

转自:http://aosabook.org/en/distsys.html Scalable Web Architecture and Distributed Systems Kate Matsudaira Open source software has become a fundamental building block for someof the biggest websites. And as those websites have grown,best practices and…

打开一瞧:50G的文件! emptystacks jobstacks jobtickets stackrequests worker 大数据加数据分析,需要以python+scikit,sql作为基础,大数据框架作为载体. 大数据的存放:S3 Browser 一.大数据存放 Please note that Worker (worker parquet files) has one or more job tickets (jobticket parquet files) associated…

Awesome Big Data A curated list of awesome big data frameworks, resources and other awesomeness. Inspired byawesome-php, awesome-python, awesome-ruby, hadoopecosystemtable & big-data. Your contributions are always welcome! Awesome Big Data Frameworks…

微软近期Open的职位: Title: Principal Dev Manager Location: Beijing The R&D of Shared Data Platform at Search Technology Center Asia aims to build a unified data platform encompassing users, advertisers, search engine, and office365. We are able to process a…