該投影片介紹了利用CDH(Cloudera’s Cloudera Distribution Including Apache Hadoop)來架設Hadoop叢集時所需要準備的環境,其中包括硬體規格、系統環境與軟體版本。
未來蒐集的相關資源會放在Diggo如下的兩個library中:
https://www.diigo.com/user/phate334/cloudera
https://www.diigo.com/user/phate334/hadoop
update:2016/06/28
Example & homework: https://github.com/Phate334/MapReduceExample
簡報已更新並重新整理
This slide show you how to deploy Hadoop cluster with Cloudera and set up your own development environment to easy to test your MapReduce app.
這份簡報分成三個部分:
1.架設hadoop叢集,今年縮短了這部分的介紹,只放上一些參考的連結。
2.準備一個可以在本機端測試Mapreduce的開發環境,而不需要每次都將程式送到叢集中。
3.三個簡單的例子,用來介紹Mapreduce框架。
How to plan a hadoop cluster for testing and production environmentAnna Yen
Athemaster wants to share our experience to plan Hardware Spec, server initial and role deployment with new Hadoop Users. There are 2 testing environments and 3 production environments for case study.
update:2016/06/28
Example & homework: https://github.com/Phate334/MapReduceExample
簡報已更新並重新整理
This slide show you how to deploy Hadoop cluster with Cloudera and set up your own development environment to easy to test your MapReduce app.
這份簡報分成三個部分:
1.架設hadoop叢集,今年縮短了這部分的介紹,只放上一些參考的連結。
2.準備一個可以在本機端測試Mapreduce的開發環境,而不需要每次都將程式送到叢集中。
3.三個簡單的例子,用來介紹Mapreduce框架。
How to plan a hadoop cluster for testing and production environmentAnna Yen
Athemaster wants to share our experience to plan Hardware Spec, server initial and role deployment with new Hadoop Users. There are 2 testing environments and 3 production environments for case study.
Establish The Core of Cloud Computing Application by Using Hazelcast (Chinese)Joseph Kuo
The concept of cloud computing has been introduced for several years. Many of us may be able to roughly imagine what it is, some of us may know how to describe it, but only a few do know how to implement it. Does NoSQL, MapReduce or Big Data equal to cloud computing? Can a service be said that it is cloud-based if it is using any of those tools? Many companies and groups have declared that their online services are cloud-based or they are using cloud computing, but are those all true? Except for the questions above, where should we start if we would like to establish a cloud-based service which is distributed, flexible, reliable, available, scalable and stable? This session intends to lead you through the gate of mysteries and head to the beautiful realm of cloud computing by using powerful tools, like Hazelcast. Welcome to journey with us to the core of cloud computing application!
https://cyberjos.blog/java/seminar/jcconf-2014-establish-the-core-of-cloud-computing-application-by-using-hazelcast/
Learn why 451 Research believes Infochimps is well-positioned with an easy-to-consume managed service for those without Hadoop expertise, as well as a stack of technologically interesting projects for the 'devops' crowd.
Opening with a market positioning statement and ending with a competitive and SWOT analysis, Matt Aslett provides a comprehensive impact report.
Establish The Core of Cloud Computing Application by Using Hazelcast (Chinese)Joseph Kuo
The concept of cloud computing has been introduced for several years. Many of us may be able to roughly imagine what it is, some of us may know how to describe it, but only a few do know how to implement it. Does NoSQL, MapReduce or Big Data equal to cloud computing? Can a service be said that it is cloud-based if it is using any of those tools? Many companies and groups have declared that their online services are cloud-based or they are using cloud computing, but are those all true? Except for the questions above, where should we start if we would like to establish a cloud-based service which is distributed, flexible, reliable, available, scalable and stable? This session intends to lead you through the gate of mysteries and head to the beautiful realm of cloud computing by using powerful tools, like Hazelcast. Welcome to journey with us to the core of cloud computing application!
https://cyberjos.blog/java/seminar/jcconf-2014-establish-the-core-of-cloud-computing-application-by-using-hazelcast/
Learn why 451 Research believes Infochimps is well-positioned with an easy-to-consume managed service for those without Hadoop expertise, as well as a stack of technologically interesting projects for the 'devops' crowd.
Opening with a market positioning statement and ending with a competitive and SWOT analysis, Matt Aslett provides a comprehensive impact report.
In recent years a wide range of new technologies have disrupted traditional data management. We're now in the middle of a revolution in data processing methods. Choosing allegiances in revolution is risky. In this talk, Doug will present the underlying causes of the revolution and predict how the data world might look once we're through it.
This is a version of a talk I presented at Spark Summit East 2016 with Rachel Warren. In this version, I also discuss memory management on the JVM with pictures from Alexey Grishchenko, Sandy Ryza, and Mark Grover.
The new YARN framework promises to make Hadoop a general-purpose platform for Big Data and enterprise data hub applications. In this talk, you'll learn about writing and taking advantage of applications built on YARN.
The job throughput and Apache Hadoop cluster utilization benefits of YARN and MapReduce v2 are widely known. Who wouldn’t want job throughput increased by 2x? Most likely you’ve heard (repeatedly) about the key benefits that could be gained from migrating your Hadoop cluster from MapReduce v1 to YARN: namely around improved job throughput and cluster utilization, as well as around permitting different computational frameworks to run on Hadoop. What you probably haven’t heard about are the configuration tweaks needed to ensure your existing MR v1 jobs can run on your YARN cluster as well as YARN specific configuration settings. In this session we’ll start with a list of recommended YARN configurations, and then step through the most common use-cases we’ve seen in the field. Production migrations can quickly go awry without proper guidance. Learn from others’ misconfigurations to get your YARN cluster configured right the first time.
Unlock Hadoop Success with Cloudera Navigator OptimizerCloudera, Inc.
Cloudera Navigator Optimizer analyzes existing SQL workloads to provide instant insights into your workloads and turns that into an intelligent optimization strategy so you can unlock peak performance and efficiency with Hadoop.
In this document, we will present a very brief introduction to BigData (what is BigData?), Hadoop (how does Hadoop fits the picture?) and Cloudera Hadoop (what is the difference between Cloudera Hadoop and regular Hadoop?).
Please note that this document is for Hadoop beginners looking for a place to start.
Data Science at Scale Using Apache Spark and Apache HadoopCloudera, Inc.
Learn about the skills and tools a data scientist needs and how to start training to be one.
There's so much noise about what a data scientist is or isn't that it can be challenging to identify the skills needed to start training a team or becoming one yourself. What exactly is a data scientist and where do you start?
Cloudera's Director of Data Science, Sean Owen, will start by walking through the different skills data scientist should have and why businesses need them. Afterwards, Tom Wheeler, Cloudera's Principal Curriculum Developer, will introduce the latest data science course developed by Cloudera University designed to help people take their first steps to becoming a data scientist.
.NET Conf Taiwan 2022 - Tauri -前端人員也能打造小巧快速的 Windows 應用程式升煌 黃
Web 技術要統治世界真的不是說說的,現在到哪裡都可以看得到 web 技術的影子,透過 web 技術打造 Windows 應用程式也早已行之有年,但過去許多工具產出來的應用程式大小都非常龐大,直到 Tauri 的出現提供了我們另外一種選擇,透過 Tauri 我們可以輕易的打造檔案更小、速度更快、也更安全的 Windows 應用程式,而你所要會的,依然還是那些本來就該會的前端開發知識而已!本次分享將帶大家實際看看使用 Tauri 來撰寫 Windows 應用程式是一個怎麼樣的體驗。
This talk is introduce by Junping Du, who is an Apache member and Hadoop PMC, at Apache Event at Tsinghua University in China.
Junping Du comes from Tencent and is the chairman of TOSA.
About the Event:
The open source ecosystem plays more and more important role in the world. Open source software is widely used in operating systems, cloud computing, big data, artificial intelligence, and industrial Internet. Many companies have gradually increased their participation in the open source community. Developers with open source experience are increasingly valued and favored by large enterprises. The Apache Software Foundation is one of the most important open source communities, contributing a large number of valuable open source software and communities to the world.
The invited guests of this lecture are all from ASF community, including the chairman of the Apache Software Foundation, three Apache members, Top 5 Apache code committers (according to Apache annual report), the first Committer in the Hadoop project in China, several Apache project mentors or VPs, and many Apache Committers. They will tell you what the open source culture is, how to join the Apache open source community, and the Apache Way.
6. Some Information
• Cloudera vs Hortonworks vs MapR: Comparing
Hadoop Distributions
• Products that include Apache Hadoop or
derivative works and Commercial Support
Download => http://goo.gl/MH8xS4 6
27. More information
• How-to: Select the Right Hardware for Your
New Hadoop Cluster
• The Truth About MapReduce Performance on
SSDs
Download => http://goo.gl/MH8xS4 27