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Everybody wants to do big data analytics these days: storage is cheapand data is plentiful; best of all, software in the Hadoop ecosystem is free both as in speech and as in beer. If you are not Facebook or Amazon, however, you are not likely to put your precious data in the systems of cloud providers you may not trust; on the other hand, developing your own small or medium cluster can be prohibitive, since it requires a lot of effort and specialization to be deployed, tuned and maintained. BigFoot aims to simplify the data scientist's life, making the existing big data software easier to deploy and tune, so that data scientists can focus on their job: getting insight from data. BigFoot contributes to OpenStack: we made it possible to deploy virtualized Spark clusters, enabling analytics-as-a-service using fast in-memory computation. HFSP, our scheduler for Hadoop Mapreduce, gives priority to smaller jobs, so that large batch jobs do not harm user productivity by slowing down quicker data exploration jobs. Interestingly, HFSP achieves this without penalizing large jobs. We also contribute to the Apache Pig high-level analytics language: we propose patches that strongly enhance performance when computing aggregations on multi-dimensional data.
BigFoot: Big Data For Every Organization
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Have you ever been annoyed at a new toy being broken by your 3-year old? I have. But guess what - every time I pick up some new technology I start behaving like a 3-year-old myself. I want to see what's going to happen if I press here or bend it there. Or indeed - how much the thing can be squeezed before it cracks or worse! Call it vandalism if you will, but it can be a very instructive process. By succumbing to this urge you start 'feeling' the different components of the technology. What it can do, what it's limits are. There's a term coined for this sort of technology 'feeling' - mechanical sympathy. Look it up it makes for a great reading. Unlike the 3-year-old's toys that you need to throw away once broken, we're dealing with software here, so with tools like Docker under your belt the crash is, well, soft and easy to fix. So let's inflict some pain on Apache Spark and see how and where it cracks. After attending the workshop you'll be able to: - deploy Apache Spark to run locally on your laptop using Docker - run a simple distributed Python spark app in Jupyter Notebook - see how it's all connected using Spark UIs - follow the cycle: break it, feel it broken, fix it
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Everybody wants to do big data analytics these days: storage is cheapand data is plentiful; best of all, software in the Hadoop ecosystem is free both as in speech and as in beer. If you are not Facebook or Amazon, however, you are not likely to put your precious data in the systems of cloud providers you may not trust; on the other hand, developing your own small or medium cluster can be prohibitive, since it requires a lot of effort and specialization to be deployed, tuned and maintained. BigFoot aims to simplify the data scientist's life, making the existing big data software easier to deploy and tune, so that data scientists can focus on their job: getting insight from data. BigFoot contributes to OpenStack: we made it possible to deploy virtualized Spark clusters, enabling analytics-as-a-service using fast in-memory computation. HFSP, our scheduler for Hadoop Mapreduce, gives priority to smaller jobs, so that large batch jobs do not harm user productivity by slowing down quicker data exploration jobs. Interestingly, HFSP achieves this without penalizing large jobs. We also contribute to the Apache Pig high-level analytics language: we propose patches that strongly enhance performance when computing aggregations on multi-dimensional data.
BigFoot: Big Data For Every Organization
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Matteo Dell'Amico
Have you ever been annoyed at a new toy being broken by your 3-year old? I have. But guess what - every time I pick up some new technology I start behaving like a 3-year-old myself. I want to see what's going to happen if I press here or bend it there. Or indeed - how much the thing can be squeezed before it cracks or worse! Call it vandalism if you will, but it can be a very instructive process. By succumbing to this urge you start 'feeling' the different components of the technology. What it can do, what it's limits are. There's a term coined for this sort of technology 'feeling' - mechanical sympathy. Look it up it makes for a great reading. Unlike the 3-year-old's toys that you need to throw away once broken, we're dealing with software here, so with tools like Docker under your belt the crash is, well, soft and easy to fix. So let's inflict some pain on Apache Spark and see how and where it cracks. After attending the workshop you'll be able to: - deploy Apache Spark to run locally on your laptop using Docker - run a simple distributed Python spark app in Jupyter Notebook - see how it's all connected using Spark UIs - follow the cycle: break it, feel it broken, fix it
Let's break apache spark workshop
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Applying Roles and Profiles method to compliance code
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Keynote: Puppet camp compliance
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As the leading IT Service Management and IT Operations Management platform in the marketplace, ServiceNow is used by many organizations to address everything from self service IT requests to Change, Incident and Problem Management. The strength of the platform is in the workflows and processes that are built around the shared data model, represented in the CMDB. This provides the ‘single source of truth’ for the organization. Puppet Enterprise is a leading automation platform focused on the IT Configuration Management and Compliance space. Puppet Enterprise has a unique perspective on the state of systems being managed, constantly being updated and kept accurate as part of the regular Puppet operation. Puppet Enterprise is the automation engine ensuring that the environment stays consistent and in compliance. In this webinar, we will explore how to maximize the value of both solutions, with Puppet Enterprise automating the actions required to drive a change, and ServiceNow governing the process around that change, from definition to approval. We will introduce and demonstrate several published integration points between the two solutions, in the areas of Self-Service Infrastructure, Enriched Change Management and Automated Incident Registration.
Automating it management with Puppet + ServiceNow
Automating it management with Puppet + ServiceNow
Puppet
Puppet Camp Federal Government, 22 Oct 2020
Puppet: The best way to harden Windows
Puppet: The best way to harden Windows
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Does your company struggle with patching systems? If so, you’re not alone — most organizations have attempted to solve this issue by cobbling together multiple tools, processes, and different teams, which can make an already complicated issue worse. Puppet helps keep hosts healthy, secure and compliant by replacing time-consuming and error prone patching processes with Puppet’s automated patching solution. Join this webinar to learn how to do the following with Puppet: Eliminate manual patching processes with pre-built patching automation for Windows and Linux systems. Gain visibility into patching status across your estate regardless of OS with new patching solution from the PE console. Ensure your systems are compliant and patched in a healthy state How Puppet Enterprise makes patch management easy across your Windows and Linux operating systems. Presented by: Margaret Lee, Product Manager, Puppet, and Ajay Sridhar, Sr. Sales Engineer, Puppet.
Simplified Patch Management with Puppet - Oct. 2020
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Puppet Camp Netherlands, 15 October 2020
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Puppet Camp Netherlands, 15 Oct 2020
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Take control of your dev ops dumping ground
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As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
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Read about the journey the Adobe Experience Manager team has gone through in order to become and scale API-first throughout the organisation.
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Terragrunt, Terraspace, Terramate, terra... whatever. What is wrong with Terraform so people keep on creating wrappers and solutions around it? How OpenTofu will affect this dynamic? In this presentation, we will look into the fundamental driving forces behind a zoo of wrappers. Moreover, we are going to put together a wrapper ourselves so you can make an educated decision if you need one.
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Created by Mozilla Research in 2012 and now part of Linux Foundation Europe, the Servo project is an experimental rendering engine written in Rust. It combines memory safety and concurrency to create an independent, modular, and embeddable rendering engine that adheres to web standards. Stewardship of Servo moved from Mozilla Research to the Linux Foundation in 2020, where its mission remains unchanged. After some slow years, in 2023 there has been renewed activity on the project, with a roadmap now focused on improving the engine’s CSS 2 conformance, exploring Android support, and making Servo a practical embeddable rendering engine. In this presentation, Rakhi Sharma reviews the status of the project, our recent developments in 2023, our collaboration with Tauri to make Servo an easy-to-use embeddable rendering engine, and our plans for the future to make Servo an alternative web rendering engine for the embedded devices industry. (c) Embedded Open Source Summit 2024 April 16-18, 2024 Seattle, Washington (US) https://events.linuxfoundation.org/embedded-open-source-summit/ https://ossna2024.sched.com/event/1aBNF/a-year-of-servo-reboot-where-are-we-now-rakhi-sharma-igalia
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Increase engagement and revenue with Muvi Live Paywall! In this presentation, we will explore the five key benefits of using Muvi Live Paywall to monetize your live streams. You'll learn how Muvi Live Paywall can help you: Monetize your live content easily: Set up pay-per-view access to your live streams and start generating revenue from your content. Increase audience engagement: Provide exclusive, premium content behind the paywall to keep your viewers engaged. Gain valuable viewer insights: Track viewer data and analytics to better understand your audience and tailor your content accordingly. Reduce content piracy: Muvi Live Paywall's security features help protect your content from unauthorized distribution. Streamline your workflow: The all-in-one platform simplifies the process of managing and monetizing your live streams. With Muvi Live Paywall, you can take control of your live stream monetization and create a sustainable business model for your content. Learn more about Muvi Live Paywall and start generating revenue from your live streams today!
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Discord is a free app offering voice, video, and text chat functionalities, primarily catering to the gaming community. It serves as a hub for users to create and join servers tailored to their interests. Discord’s ecosystem comprises servers, each functioning as a distinct online community with its own channels dedicated to specific topics or activities. Users can engage in text-based discussions, voice calls, or video chats within these channels. Understanding Discord Servers Discord servers are virtual spaces where users congregate to interact, share content, and build communities. Servers may revolve around gaming, hobbies, interests, or fandoms, providing a platform for like-minded individuals to connect. Communication Features Discord offers a range of communication tools, including text channels for messaging, voice channels for real-time audio conversations, and video channels for face-to-face interactions. These features facilitate seamless communication and collaboration. What Does NSFW Mean? The acronym NSFW stands for “Not Safe For Work,” indicating content that may be inappropriate for professional or public settings. NSFW Content NSFW content encompasses material that is sexually explicit, violent, or otherwise graphic in nature. It often includes nudity, profanity, or depictions of sensitive topics.
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This project focuses on implementing real-time object detection using Raspberry Pi and OpenCV. Real-time object detection is a critical aspect of computer vision applications, allowing systems to identify and locate objects within a live video stream instantly.
Real Time Object Detection Using Open CV
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Khem
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Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
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Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
Whirr devdown
1.
Clustered Services with
Apache Whirr: From Ops Down Chad Metcalf @metcalfc Cloudera
2.
The Big Picture
3.
6 Node Hadoop
Cluster # Change the cluster name here whirr.cluster-name=hadoop # Change the number of machines in the cluster here whirr.instance-templates=1 hadoop- namenode+hadoop-jobtracker,5 hadoop- datanode+hadoop-tasktracker
4.
What Does It
Do?
5.
How?
6.
Why Use It?
7.
Developer Way
8.
Operator Way
9.
Fortify with Puppet +puppet:ntp +puppet:pig +puppet:hive +puppet:demo::users
10.
Modules # Git puppet.pig.module= git://github.com/metcalfc/puppet-pig.git #
With branch puppet.ntp.module= git://github.com/metcalfc/puppet-ntp.git puppet.ntp.module.branch=puppetconf2011 # Tarball puppet.demo.module=/tmp/demo.tgz
11.
Manifests # Default +puppet:pig # Specific
Class +puppet:demo::users # Parameterized Class +puppet:ntp ntp.servers=[ '0.pool.ntp.org' ] ntp.autoupdate=true
12.
puppet apply node default
{ class {'ntp': servers => [ '0.pool.ntp.org' ], autoupdate => true, } class { 'pig': } class { 'hive': } class { 'demo::users': } }
13.
Masterless
14.
One Shot
15.
Test Locally
16.
Demo
17.
Whats Next?
18.
Questions?
Download now