This document discusses directory write leases in MagFS, a globally distributed file system. It introduces the concept of directory write leases, which allow clients to cache and execute namespace-modifying operations locally to improve performance over high-latency networks. Evaluation results show that directory write leases enable workloads to complete much faster with increasing network latency compared to synchronous approaches.
The new wall-mounted Smoove control units from Somfy feature touch technology that interacts intuitively with home openings. The units come in various finishes to complement home decor and feature simple controls for operating vertical or horizontal openings with a light touch. Smoove units are designed to fit most electrical frames and blend in with home switches, offering control of products like interior blinds, patio awnings, and more.
The document discusses Performance Co-Pilot (PCP), a system-level performance monitoring and performance management toolkit for Linux. PCP allows for the collection, monitoring, and analysis of system metrics. It includes tools for creating and replaying archive logs that capture performance information. PCP has a distributed architecture that allows for monitoring of local and remote nodes in real-time or using archived data. Key PCP components include collectors that gather metrics and consumers that analyze and visualize performance data. Example consumer tools demonstrated are pmstat, pmatop, pmcollectl, pminfo, and pmchart.
PCP Introduction is an overview presentation on Performance Co-Pilot (PCP), an open source toolkit for system-level performance analysis on Linux, UNIX, and Windows systems. PCP allows for monitoring of live and historical system performance metrics across single and distributed systems. It includes a metrics namespace, collector and consumer toolkits to extract, store, and visualize performance data. Recent developments focus on container awareness, new kernel instrumentation, and browser/API interfaces to support modern monitoring needs.
Originally presented at SXSW March 13, 2011, on panel with Fred Beecher and Austin Govella. Modified and updated for Web 2.0 Expo talk, October 12, 2011, UX Web Summit September 26, 2012; Webdagene September 10, 2013.
Effective Numerical Computation in NumPy and SciPyKimikazu Kato
?
This document provides an overview of effective numerical computation in NumPy and SciPy. It discusses how Python can be used for numerical computation tasks like differential equations, simulations, and machine learning. While Python is initially slower than languages like C, libraries like NumPy and SciPy allow Python code to achieve sufficient speed through techniques like broadcasting, indexing, and using sparse matrix representations. The document provides examples of how to efficiently perform tasks like applying functions element-wise to sparse matrices and calculating norms. It also presents a case study for efficiently computing a formula that appears in a machine learning paper using different sparse matrix representations in SciPy.
Given the changing nature of enterprise networking, Riverbed decided to survey attendees of the recent VMworld conference about their companies’ current plans for these emerging technologies. Riverbed surveyed 260 attendees face-to-face, from a variety of roles and with a median company size of 2,300 employees.
Here is a best practice of Carrier-Grade AWS security, once you've copied the AWS cloud formation script provided by NTT DCOOMO. Let's open a new vista with this presentation.
(拡散希望。この夢の部分が伝わらないと、道楽と思われる)どうしてこういう活動をするのか? スタートアップがいきなり電話会社と同レベルのセキュリテイとデータアナリティクスを手に入れる。サービス企業がシステム構築のイニシアティブが取れるのです。そうすれば、より企業連携がより緊密にできる。企業連携のイノベーションが新たに生まれる。標準化重視のIndustrie4.0より先に行けるのです。横方向の展開で新たなバリューチェーンがしっかりと生まれる。
OnLab Japan introduction to Lean AnalyticsLean Analytics
?
Timehop, a social network mobile app focused on sharing past content, discovered in the virality stage that the key metric was the percentage of daily active users that shared content. The company aimed for 20-30% of DAUs to share in order to drive virality, as this one metric was most important for growth at this stage over other factors like press or publicity.
From the MarTech Conference in London, UK, October 20-21, 2015. SESSION: Keynote: Hacking Marketing: The Convergence Of Marketing & Software. PRESENTATION: Hacking Marketing - Given by Scott Brinker - @chiefmartec - MarTech Conference Chair, Editor & Publisher - chiefmartec.com. #MarTech DAY1
This document discusses directory write leases in MagFS, a globally distributed file system. It introduces the concept of directory write leases, which allow clients to cache and execute namespace-modifying operations locally to improve performance over high-latency networks. Evaluation results show that directory write leases enable workloads to complete much faster with increasing network latency compared to synchronous approaches.
The new wall-mounted Smoove control units from Somfy feature touch technology that interacts intuitively with home openings. The units come in various finishes to complement home decor and feature simple controls for operating vertical or horizontal openings with a light touch. Smoove units are designed to fit most electrical frames and blend in with home switches, offering control of products like interior blinds, patio awnings, and more.
The document discusses Performance Co-Pilot (PCP), a system-level performance monitoring and performance management toolkit for Linux. PCP allows for the collection, monitoring, and analysis of system metrics. It includes tools for creating and replaying archive logs that capture performance information. PCP has a distributed architecture that allows for monitoring of local and remote nodes in real-time or using archived data. Key PCP components include collectors that gather metrics and consumers that analyze and visualize performance data. Example consumer tools demonstrated are pmstat, pmatop, pmcollectl, pminfo, and pmchart.
PCP Introduction is an overview presentation on Performance Co-Pilot (PCP), an open source toolkit for system-level performance analysis on Linux, UNIX, and Windows systems. PCP allows for monitoring of live and historical system performance metrics across single and distributed systems. It includes a metrics namespace, collector and consumer toolkits to extract, store, and visualize performance data. Recent developments focus on container awareness, new kernel instrumentation, and browser/API interfaces to support modern monitoring needs.
Originally presented at SXSW March 13, 2011, on panel with Fred Beecher and Austin Govella. Modified and updated for Web 2.0 Expo talk, October 12, 2011, UX Web Summit September 26, 2012; Webdagene September 10, 2013.
Effective Numerical Computation in NumPy and SciPyKimikazu Kato
?
This document provides an overview of effective numerical computation in NumPy and SciPy. It discusses how Python can be used for numerical computation tasks like differential equations, simulations, and machine learning. While Python is initially slower than languages like C, libraries like NumPy and SciPy allow Python code to achieve sufficient speed through techniques like broadcasting, indexing, and using sparse matrix representations. The document provides examples of how to efficiently perform tasks like applying functions element-wise to sparse matrices and calculating norms. It also presents a case study for efficiently computing a formula that appears in a machine learning paper using different sparse matrix representations in SciPy.
Given the changing nature of enterprise networking, Riverbed decided to survey attendees of the recent VMworld conference about their companies’ current plans for these emerging technologies. Riverbed surveyed 260 attendees face-to-face, from a variety of roles and with a median company size of 2,300 employees.
Here is a best practice of Carrier-Grade AWS security, once you've copied the AWS cloud formation script provided by NTT DCOOMO. Let's open a new vista with this presentation.
(拡散希望。この夢の部分が伝わらないと、道楽と思われる)どうしてこういう活動をするのか? スタートアップがいきなり電話会社と同レベルのセキュリテイとデータアナリティクスを手に入れる。サービス企業がシステム構築のイニシアティブが取れるのです。そうすれば、より企業連携がより緊密にできる。企業連携のイノベーションが新たに生まれる。標準化重視のIndustrie4.0より先に行けるのです。横方向の展開で新たなバリューチェーンがしっかりと生まれる。
OnLab Japan introduction to Lean AnalyticsLean Analytics
?
Timehop, a social network mobile app focused on sharing past content, discovered in the virality stage that the key metric was the percentage of daily active users that shared content. The company aimed for 20-30% of DAUs to share in order to drive virality, as this one metric was most important for growth at this stage over other factors like press or publicity.
From the MarTech Conference in London, UK, October 20-21, 2015. SESSION: Keynote: Hacking Marketing: The Convergence Of Marketing & Software. PRESENTATION: Hacking Marketing - Given by Scott Brinker - @chiefmartec - MarTech Conference Chair, Editor & Publisher - chiefmartec.com. #MarTech DAY1
Presentation file of A-4 session at IBM Connect Japan 2015. It includes history of IBM Notes/Domino and future plan of it. Also, IBM Bluemix and XPages on Bluemix are presented as well.
PDF版 世界中のゲーム分析をしてきたPlayFabが大進化!一緒に裏側の最新データ探索の仕組みを覗いてみよう Db tech showcase2020Daisuke Masubuchi
?
世界中のオンラインゲームやスマフォアプリの分析をしてきたPlayFab。最近、従来のイベント分析に加えて様々なテレメトリーを包含したクラウド分析機能が備わりました。今回は、その裏の Azure Data Explorer a.k.a Kusto での構成や仕組みをご紹介します。Windowsのテレメトリー分析やAzureのログ解析基盤の裏側と共通した仕掛けが含まれているのでお楽しみに!ゲーム業界に限らず、ビックデータ運用を考えている大規模なSaaS事業やIoT事業にもご参考いただけたら幸いです。
at db tech showcase ONLINE 2020 https://db-tech-showcase.com/dbts/2020/online #dbts2020 #gamestackjp
*本資料は 2020年11月11日に開催された DB Tech Showcase イベントにてお話させていただいた、同タイトルのセッション資料となります
What is Change Data Capture (CDC) and Why is it Important?FlyData Inc.
?
Check out what Change Data Capture (CDC) is and why it is becoming ever more important. 狠狠撸s also include useful tips on how to design your CDC implementation.
What's So Unique About a Columnar Database?FlyData Inc.
?
Looking for the right database technology to use? Luckily there are many database technologies to choose from, including relational databases (MySQL, Postgres), NoSQL (MongoDB), columnar databases (Amazon Redshift, BigQuery), and others. Each choice has its own pros and cons, but today let’s walk through how columnar databases are unique, by comparing it against the more traditional row-oriented database (e.g., MySQL).
Three Things to Consider When Making Investments in Your Big Data InfrastructureFlyData Inc.
?
Is your company data-driven? Thought so. Data and “data-drivenness” has become so integral to companies’ success nowadays, that it would feel weird to hear somebody say “oh, our company doesn’t care about data”.\r\n\r\nIn fact, it sounds almost as if it’s a crime to disrespect data like that. So, for those of you who want to do the morally right thing and get the most out of your data, let’s go over what you need to consider when making the necessary technology investments to support your data infrastructure.
Biases come in many different forms, but in this article, we’ll touch on few of the major ones that are known to have considerable effects on research and science. Here is a brief list of four cognitive biases that may affect you as a researcher or data scientist.
From wearable computing to heart sensors that send frequent updates to other devices, IoT envisions a future of near-infinite connectivity. In a nutshell, the evolution of technology will bring us to a future where all of our devices will not be just connected to the internet, but to each other.
Near Real-Time Data Analysis With FlyData FlyData Inc.
?
This document describes our products. FlyData makes it easy to load data automatically and continuously to Amazon Redshift. You can also refer to our HP ( http://flydata.com/ ) for more information.