Big data and cloud computing Weekly (of 103)


Lead

"Big Data" in the name is actually a marketing language, from a technical point of view, contains a wide range, computing, storage, networks are involved, broad knowledge, learning difficulty is high.

    

This issue will give you the dedication wonderful: Huawei database, AI , Hbase , DL, MongoDB, Kafka used to live , recommendation systems, ES, Phoenix , EDIS, Cassandra, . All dry goods, hope you like! ! !


# Big data and cloud computing communities # hope by insisting on a regular basis can help students to share power of microblogging on the road Big Data learning contribute. We believe long-term adherence to carefully read weekly students, will be increasingly sophisticated technology on the road! The long-term adherence to thank the editors! Also ask someone to continue a reward, community support, support for editors continued dedication to high-quality knowledge!


# Big data and cloud computing technology community # long-term recruitment of interested and involved in community editing operations classmates welcomed the end of the two-dimensional code scanning text links ( community work, gain knowledge and progress, as well as a red envelope oh ).


To remind, the end the surprise!


The following is the text, limited to public limited editorial standards, does not guarantee that everyone likes. ( If the link does not point to open the two-dimensional code, please thank you )


1HBase

Mass Storage Issues This paper describes MySQL + HBase online transaction problems were solved and the application of big data scene.

https://mp.weixin.qq.com/s/XNeOceRbpPAUz5_IWLRsyw


2 Huawei

Huawei began to sell directly to the database

https://mp.weixin.qq.com/s/AMCZe7L57q8PmUMc9qeG2w


3 Kafka

Kafka actual tuning parameters, see the article enough, the following focuses on eight aspects 1, incorporated BACKGROUND: Many students parameters read Kafka, 2, example code production section end Kafka, 3, the memory size of the buffer, 4, how data is packaged into a suitable Batch 5, if a full Minato supposed Batch delays, 6, the maximum request size, 7, 8 retry mechanism, persistence mechanism


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Kafka system has a very deft wide range of applications, with the rapid development of its business, the size of Kafka cluster has grown exponentially, deft Kafka cluster Reuters deal with the current total of several trillion level, the peak more than 100 million / s. Question paper deft finish from senior architect, big data architecture team leader Zhao Jianbo in the General Assembly speech on the global software QCon 2019 (Beijing), he introduces the application of the system in practice Kafka's deft, encountered and the corresponding evolution of technology process.

https://mp.weixin.qq.com/s/X-Nn6fJX4Kgqh9H8_1TQhQ


4 MongoDB

This article describes how to analyze and view the issues that affect the performance of MongoDB, combined with examples of service interface timeout reality, explain analyze performance problems MongoDB step.


5Cassandra

On Instagram (Instagram is a Facebook company's offers free online photo and video sharing social networking software, released in October 2010.), We have the world's largest ApacheCassandra database deployment. We started in the year 2012 Cassandra replace Redis, support fraud detection in a production environment, Feed Direct inbox and other products. At first we run a Cassandra cluster in the AWS environment, but when Instagram architecture changes, we will migrate Cassandra cluster to Facebook's infrastructure. We had a very good experience for Cassandra reliability and availability, but in reading the data latency; This paper describes the use of Apache Cassandra in Facebook

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6ElasticSearch

ElasticSearch 是基于 Lucene 实现的分布式搜索引擎,提供了海量数据实时检索和分析能力,随着业务体量的发展,滴滴构建了基于 ElasticSearch 的一站式搜索平台

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7DL

在今年的谷歌 IO 2019 大会上有个环节,邀请了「深度学习教父」、也是 2018 年图灵奖获奖者之一的 Geoffery Hinton 聊一聊学术、非学术的各类话题。整个过程很轻松,就是聊聊各种话题,不过 Hinton 老爷子一如既往地学术风气十足。雷锋网 AI 科技评论根据视频回放把访谈内容听译整理。

https://mp.weixin.qq.com/s/bqbtmlGH3DeAqqcup6nyxw


8Phoenix

在数据库的使用中了解其查询计划的构成,是进行查询性能调优的必要条件。本文将详细介绍Phoenix的查询计划语法、组成结构,以及一些注意事项。

https://mp.weixin.qq.com/s/kDhx8dhZcMjTpQAevkc11Q



9AI

本文对AdaBoost算法进行讲解,重点在于理解该算法的原理,并用python对其进行实现。

这里的代码其实就是机器学习实战这本书里的代码。前几天我也把这块代码备注了一下。

https://mp.weixin.qq.com/s/lfa9jYNPkaPHp5vCY4hqPQ


10Redis

Redis常用操作和内存模型

https://mp.weixin.qq.com/s/bv1-0xiLi_4wBNjP2QQVWQ


11开心一刻

France recently little brother in Chinese follow me, send me one day and chat with him when the sentence Oh, 23333, he asked me what that means. I praise you say is super funny meaning. Tonight and see with his Chinese friends, I saw the friend finished speaking, he was articulate and standards issued by the words, "Oh, twenty-three thousand three hundred thirty-three." Audience deathly silence.


Acknowledgments:

Zhou booming, King Road, Sun Yafei, Feng Yi-fan, CHEN Shao-jun, Deng opened the table, Zhang Shaohua, Xueshu Jiang, Liu Bin, Liu Chao, Liaocheng Peng, Dong Yan, Lucy Jin, Zhu Jie, with blue, Huang Wenhui, Guo Fei


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Origin blog.csdn.net/zNZQhb07Nr/article/details/90391890