SlideShare Hack Day Oct. 2013

Más contenido relacionado

La actualidad más candente

Full-on Hypermedia APIs with Hydra

Markus Lanthaler

An Introduction to MongoDB Compass

MongoDB

Introduction to HiveQL

kristinferrier

Building Chrome Extensions For Salesforce

Abhinav Gupta

Hadoop is the popular open source like Facebook, Twitter, RFID readers, sensors, and implementation of MapReduce, a powerful tool so on.Your management wants to derive designed for deep analysis and transformation of information from both the relational data and thevery large data sets. Hadoop enables you to unstructuredexplore complex data, using custom analyses data, and wants this information as soon astailored to your information and questions. possible.Hadoop is the system that allows unstructured What should you do? Hadoop may be the answer!data to be distributed across hundreds or Hadoop is an open source project of the Apachethousands of machines forming shared nothing Foundation.clusters, and the execution of Map/Reduce It is a framework written in Java originallyroutines to run on the data in that cluster. Hadoop developed by Doug Cutting who named it after hishas its own filesystem which replicates data to sons toy elephant.multiple nodes to ensure if one node holding data Hadoop uses Google’s MapReduce and Google Filegoes down, there are at least 2 other nodes from System technologies as its foundation.which to retrieve that piece of information. This It is optimized to handle massive quantities of dataprotects the data availability from node failure, which could be structured, unstructured orsomething which is critical when there are many semi-structured, using commodity hardware, thatnodes in a cluster (aka RAID at a server level). is, relatively inexpensive computers. This massive parallel processing is done with greatWhat is Hadoop? performance. However, it is a batch operation handling massive quantities of data, so theThe data are stored in a relational database in your response time is not immediate.desktop computer and this desktop computer As of Hadoop version 0.20.2, updates are nothas no problem handling this load. possible, but appends will be possible starting inThen your company starts growing very quickly, version 0.21.and that data grows to 10GB. Hadoop replicates its data across differentAnd then 100GB. computers, so that if one goes down, the data areAnd you start to reach the limits of your current processed on one of the replicated computers.desktop computer. Hadoop is not suitable for OnLine Transaction So you scale-up by investing in a larger computer, Processing workloads where data are randomly and you are then OK for a few more months. accessed on structured data like a relational When your data grows to 10TB, and then 100TB. database.Hadoop is not suitable for OnLineAnd you are fast approaching the limits of that Analytical Processing or Decision Support Systemcomputer. workloads where data are sequentially accessed onMoreover, you are now asked to feed your structured data like a relational database, to application with unstructured data coming from generate reports that provide business sources intelligence. Hadoop is used for Big Data. It complements OnLine Transaction Processing and OnLine Analytical Pro

Hadoop technology

tipanagiriharika

In a modern society, mobile networks has become one of the most important infrastructure components. The availability of a mobile network has become even essential in areas like health care and machine to machine communication. In 2016, Telefónica Germany begun the Customer Experience Management (CEM) project to get KPI out of the mobile network describing the participant’s experience while using the Telefónica’s mobile network. These KPI help to plan and create a better mobile network where improvements are indicated. Telefónica is using Hortonworks HDF solution to ingest 16 billion records a day which are generated by CEM. To achieve the best out of HDF abilities some customizations have been made: 1.) Custom processors have been written to comply with data privacy rules. 2.) Nifi is running in Docker containers within a Kubernetes cluster to increase reliability of the ingestion system. Finally, the data is presented in Hive tables and Kafka topics to be further processed. In this talk, we will present the CEM use case and how it is technically implemented as stated in (1) and (2). Most interesting part for the audience should be our experiences we have made using HDF in a Docker/Kubernetes environment since this solution is not yet officially supported.

How to Ingest 16 Billion Records Per Day into your Hadoop Environment

DataWorks Summit

Hadoop installation and Running KMeans Clustering with MapReduce Program on H...

Titus Damaiyanti

Hadoop Administration pdf

Edureka!

Python tools to deploy your machine learning models faster

Jeff Hale

Database migrations with Flyway and Liquibase

Lars Östling

Johan von HülsenJohan von Hülsen Wingmen Online MarketingInterne Verlinkung ist einer der wichtigsten Hebel besonders für große Seiten. Aber: Die interne Verlinkung einer Domain zu analysieren, kann einem auch einen ganz neuen Blick auf die Struktur der Seite geben. Mit den richtigen Metriken und Darstellungen lernst du deine Domain ganz neu kennen und findest neue Hebel zur Optimierung. Du bist der Meinung, dass du schon alles in Sachen interner Verlinkung rausgeholt hast? Dann ist das hier dein Vortrag!

SEOkomm 2021: Interne Verlinkung

Johan Hülsen

This presentation about HBase will help you understand what is HBase, what are the applications of HBase, how is HBase is different from RDBMS, what is HBase Storage, what are the architectural components of HBase and at the end, we will also look at some of the HBase commands using a demo. HBase is an essential part of the Hadoop ecosystem. It is a column-oriented database management system derived from Google’s NoSQL database Bigtable that runs on top of HDFS. After watching this video, you will know how to store and process large datasets using HBase. Now, let us get started and understand HBase and what it is used for. Below topics are explained in this HBase presentation: 1. What is HBase? 2. HBase Use Case 3. Applications of HBase 4. HBase vs RDBMS 5. HBase Storage 6. HBase Architectural Components What is this Big Data Hadoop training course about? Simplilearn’s Big Data Hadoop training course lets you master the concepts of the Hadoop framework and prepares you for Cloudera’s CCA175 Big data certification. The Big Data Hadoop and Spark developer course have been designed to impart in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab. What are the course objectives? This course will enable you to: 1. Understand the different components of the Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark 2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management 3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts 4. Get an overview of Sqoop and Flume and describe how to ingest data using them 5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning 6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution 7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations 8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS 9. Gain a working knowledge of Pig and its components 10. Do functional programming in Spark 11. Understand resilient distribution datasets (RDD) in detail 12. Implement and build Spark applications 13. Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques 14. Understand the common use-cases of Spark and the various interactive algorithms 15. Learn Spark SQL, creating, transforming, and querying Data frames Learn more at https://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training

HBase Tutorial For Beginners | HBase Architecture | HBase Tutorial | Hadoop T...

Simplilearn

Hadoop File system (HDFS)

Prashant Gupta

Introducción a Hadoop

Tomás Fernández Pena

RDF Data Model

Jose Emilio Labra Gayo

Building Next-Generation Web APIs with JSON-LD and Hydra

Markus Lanthaler

RDF 해설서

Hansung University

This resource is going to teach you how to become a Scrapebox master, so brace yourself. For many years the SEO neighborhood has been needing one real supreme Scrapebox tutorial, however, no SEO has actually been brave enough to see it all the way through. Initially, I believed it would be difficult to finish. However then five weeks and 9,000 words later it was lastly here, take pleasure in everybody.

The Ultimate Guide to Scrapebox - The Only Scrapebox Tutorial You Need

frankmo920

Connect all the things: An intro to event streaming for the automotive industry including connected cars, mobility services, and manufacturing / industrial IoT. Video recording of this talk: https://www.youtube.com/watch?v=rBfBFrcO-WU The Fourth Industrial Revolution (also known as Industry 4.0) is the ongoing automation of traditional manufacturing and industrial practices, using modern smart technology. Event Streaming with Apache Kafka plays a massive role in processing massive volumes of data in real-time in a reliable, scalable, and flexible way using integrating with various legacy and modern data sources and sinks. Other industries—retail, healthcare, government, financial services, energy, and more—also lean into Industry 4.0 technology to take advantage of IoT devices, sensors, smart machines, robotics, and connected data. The variety of these deployments goes from disconnected edge use cases across hybrid architectures to global multi-cloud deployments. In this presentation, I want to give you an overview of existing use cases for event streaming technology in a connected world across supply chains, industries and customer experiences that come along with these interdisciplinary data intersections: - The Automotive Industry (and it’s not only Connected Cars) - Mobility Services across verticals (transportation, logistics, travel industry, retailing, …) - Smart Cities (including citizen health services, communication infrastructure, …) Real-world examples include use cases from car makers such as Audi, BMW, Porsche, Tesla, plus many examples from mobility services such as Uber, Lyft, Here Technologies, and more.

Apache Kafka in the Automotive Industry (Connected Vehicles, Manufacturing 4....

Kai Wähner

Web performance is a complicated topic, but over the years it’s become easier to articulate thanks to incredible advancements in performance features, their adoption in the browser ecosystem and tools that test and give insight into which techniques might speed up your site. However, all too often a feature is implemented incorrectly, resulting in a lost opportunity for performance improvement. During this talk I’d like to explore a few common web performance techniques - some that you are likely already familiar with. We’ll dive into HTTP Archive data to find some examples of sites that are using them incorrectly, and explore the impact and potential benefits of fixing them. https://www.meetup.com/web-performance-ny/events/286338923/

NY WebPerf Sept '22 - Performance Mistakes - An HTTP Archive Deep Dive

Paul Calvano

La actualidad más candente (20)

Full-on Hypermedia APIs with Hydra

An Introduction to MongoDB Compass

Introduction to HiveQL

Building Chrome Extensions For Salesforce

Hadoop technology

How to Ingest 16 Billion Records Per Day into your Hadoop Environment

Hadoop installation and Running KMeans Clustering with MapReduce Program on H...

Hadoop Administration pdf

Python tools to deploy your machine learning models faster

Database migrations with Flyway and Liquibase

SEOkomm 2021: Interne Verlinkung

HBase Tutorial For Beginners | HBase Architecture | HBase Tutorial | Hadoop T...

Hadoop File system (HDFS)

Introducción a Hadoop

RDF Data Model

Building Next-Generation Web APIs with JSON-LD and Hydra

RDF 해설서

The Ultimate Guide to Scrapebox - The Only Scrapebox Tutorial You Need

Apache Kafka in the Automotive Industry (Connected Vehicles, Manufacturing 4....

NY WebPerf Sept '22 - Performance Mistakes - An HTTP Archive Deep Dive

Destacado

Handout from the Open Design Hackathon event in Cape Town, South Africa

Leyla Nasib

Ready to go Mobile? Today's Mobile Landscape: Responsive, Adaptive, Hybrid, a...

Jeremy Johnson

MHAA-Gold-Coast-Services-Directory

Debra Hughes

Snakes

mahmud maha

How to Pitch an App at a Hackathon

Intuit Developer

FEMALE SEXUALITY & PELVIC FLOOR BY DR SHASHWAT JANI

DR SHASHWAT JANI

App Engine Overview @ Google Hackathon SXSW 2010

Chris Schalk

Slides from When Sex Hurts : Pelvic Floor Exercises to Relief Vaginismus, for Society of Incontinence Singapore, on 16 Aug 2014 Dr Martha Tara Lee is Founder and Clinical Sexologist of Eros Coaching since 2009. She is a certified sexologist with ACS (American College of Sexologists), as well as a certified sexuality educator with AASECT (American Association of Sexuality Educators, Counselors, and Therapists). Martha holds a Doctorate in Human Sexuality as well as Certificates in Sex Therapy, Practical Counselling and Life Coaching. She was recognised as one of ‘Top 50 Inspiring Women under 40′ by Her World Singapore in July 2010 and ‘Top 100 Inspiring Women by CozyCot Singapore in March 2011. Website: http://www.eroscoaching.com.

When Sex Hurts : Pelvic Floor Exercises to relief Vaginismus

Dr. Martha Tara Lee

Caravaggio a murderous master painter

Andie Beahn

AT&T IoT Hackathon - Dallas (hosted by The DEC)

Ed Donahue

I share with anyone competing in a hackathon concrete, hand's on tips, for delivering a winning pitch. Consider what story you want to convey to the judges as you demo the value, and technical achievement, of your hackathon creation. I first presented this to an audience at the HackDFW 2015 event. All pictures you see were taken by me as I advised and supported the teams as a volunteer. Good luck to you! Reach out to me on Twitter @KenTabor.

10 Tips for a Winning Hackathon Pitch

Ken Tabor

TalkUX - UX in VR - UNIT9

Laura Cortes

16 Enjoyable Business Lessons from Sex

Andrew Morrison

Confirm, Observe, Adjust: How to audit your Twitter world an 1 hour or less

Ian Lurie

PPT on "Labour Laws in India"

Anshu Shekhar Singh

Destacado (15)

Handout from the Open Design Hackathon event in Cape Town, South Africa

Ready to go Mobile? Today's Mobile Landscape: Responsive, Adaptive, Hybrid, a...

MHAA-Gold-Coast-Services-Directory

Snakes

How to Pitch an App at a Hackathon

FEMALE SEXUALITY & PELVIC FLOOR BY DR SHASHWAT JANI

App Engine Overview @ Google Hackathon SXSW 2010

When Sex Hurts : Pelvic Floor Exercises to relief Vaginismus

Caravaggio a murderous master painter

AT&T IoT Hackathon - Dallas (hosted by The DEC)

10 Tips for a Winning Hackathon Pitch

TalkUX - UX in VR - UNIT9

16 Enjoyable Business Lessons from Sex

Confirm, Observe, Adjust: How to audit your Twitter world an 1 hour or less

PPT on "Labour Laws in India"

Más de SlideShare

SlideShare is joining Scribd

SlideShare

LinkedIn SlideShare's Upload Campaign Calendar: 2016

SlideShare

How Framebench Got 500 Signups in 3 Days

SlideShare

Etsy Case Study

SlideShare

Achievers' Big Secret to Lead Generation on SlideShare

SlideShare

LinkedIn SlideShare: Knowledge, Well-Presented

SlideShare

A Guide to SlideShare Analytics - Excerpts from Hubspot's Step by Step Guide ...

SlideShare

How to Make Awesome SlideShares: Tips & Tricks

SlideShare

What to Upload to SlideShare

SlideShare

Getting Started With SlideShare

SlideShare

Lead Generation on SlideShare: A How-to Guide

SlideShare

Introduction to SlideShare for Businesses

SlideShare

How to Use Analytics on SlideShare

SlideShare

2015 Upload Campaigns Calendar - SlideShare

SlideShare

SlideShare's Mobile Momentum

SlideShare

#TechForGood: Share How You Use Technology for Social Good

SlideShare

SlideShare's New App for Android

SlideShare

Bitcoin. Twerking. NSA. Cronuts. Google Glass. 2013 was, by all accounts, another groundbreaking year -- and it was no less for SlideShare and the world of presentations, too. We took a look back at the top trends on SlideShare this year. Share your year in review, too, and tag your SlideShare #zeitgeist2013. Read blog post: http://blog.slideshare.net/2013/12/09/zeitgeist2013-share-your-year-in-review/index.html View Zeitgeists: http://www.slideshare.net/tag/zeitgeist2013

SlideShare Zeitgeist 2013

SlideShare

Whether it's Facebook updates, tweets, blog posts, research reports, newsletters, video, white papers or more, we all produce content these days. How do you reach your audiences on each platform without completely exhausting yourself? We show you ways to recraft your existing content to attract an audience on SlideShare. Read the SlideShare blog post: http://wp.me/p24NNG-2fO Presentation designed by Empowered Presentations: http://empoweredpresentations.com/

6 Tips for Repurposing Content on SlideShare

SlideShare

What Makes Great Infographics

SlideShare

Más de SlideShare (20)

SlideShare is joining Scribd

LinkedIn SlideShare's Upload Campaign Calendar: 2016

How Framebench Got 500 Signups in 3 Days

Etsy Case Study

Achievers' Big Secret to Lead Generation on SlideShare

LinkedIn SlideShare: Knowledge, Well-Presented

A Guide to SlideShare Analytics - Excerpts from Hubspot's Step by Step Guide ...

How to Make Awesome SlideShares: Tips & Tricks

What to Upload to SlideShare

Getting Started With SlideShare

Lead Generation on SlideShare: A How-to Guide

Introduction to SlideShare for Businesses

How to Use Analytics on SlideShare

2015 Upload Campaigns Calendar - SlideShare

SlideShare's Mobile Momentum

#TechForGood: Share How You Use Technology for Social Good

SlideShare's New App for Android

SlideShare Zeitgeist 2013

6 Tips for Repurposing Content on SlideShare

What Makes Great Infographics

Último

What are drone anti-jamming systems? The drone anti-jamming systems and anti-spoof technology protect against interference, jamming, and spoofing of the UAVs. To protect their security, countries are beginning to research drone anti-jamming systems, also known as drone strike weapons. The anti-jam and anti-spoof technology protects against interference, jamming and spoofing. A drone strike weapon is a drone attack weapon that can attack and destroy enemy drones. So what is so unique about this amazing system?

What Are The Drone Anti-jamming Systems Technology?

Antenna Manufacturer Coco

CNv6 Instructor Chapter 6 Quality of Service

giselly40

Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “The Role of Taxonomy and Ontology in Semantic Layers” at a webinar hosted by Progress Semaphore on April 16, 2024. Taxonomies at their core enable effective tagging and retrieval of content, and combined with ontologies they extend to the management and understanding of related data. There are even greater benefits of taxonomies and ontologies to enhance your enterprise information architecture when applying them to a semantic layer. A survey by DBP-Institute found that enterprises using a semantic layer see their business outcomes improve by four times, while reducing their data and analytics costs. Extending taxonomies to a semantic layer can be a game-changing solution, allowing you to connect information silos, alleviate knowledge gaps, and derive new insights. Hedden, who specializes in taxonomy design and implementation, presented how the value of taxonomies shouldn’t reside in silos but be integrated with ontologies into a semantic layer. Learn about: - The essence and purpose of taxonomies and ontologies in information and knowledge management; - Advantages of semantic layers leveraging organizational taxonomies; and - Components and approaches to creating a semantic layer, including the integration of taxonomies and ontologies

The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf

Enterprise Knowledge

[2024]Digital Global Overview Report 2024 Meltwater.pdf

hans926745

Microsoft's Threat Matrix for Kubernetes helps organizations understand the attack surface a Kubernetes deployment introduces to their environments. This ensures that adequate detections and mitigations are in place. By covering over 40 different attacker techniques, defenders can learn about Kubernetes-specific mitigations and controls to deploy to their environments. In this session, we will explore the MS-TA9013 Host Path Mount technique, which is commonly used by attackers to perform privilege escalation in a Kubernetes cluster. Attendees will learn how attackers and defenders can: * Escape the container's host volume mount to gain persistence on an underlying node * Move laterally from the underlying node into the customer's cloud environment * Analyze Kubernetes audit logs to detect pods deployed with a hostPath mount * Deploy an admission controller that prevents new pods from using a hostPath mount

Breaking the Kubernetes Kill Chain: Host Path Mount

Puma Security, LLC

A Domino Admins Adventures (Engage 2024)

Gabriella Davis

BooK Now Call us at +918448380779 to hire a gorgeous and seductive call girl for sex. Take a Delhi Escort Service. The help of our escort agency is mostly meant for men who want sexual Indian Escorts In Delhi NCR. It should be noted that any impersonator will get 100 attention from our Young Girls Escorts in Delhi. They will assume the position of reliable allies. VIP Call Girl With Original Photos Book Tonight +918448380779 Our Cheap Price 1 Hour not available 2 Hours 5000 Full Night 8000 TAG: Call Girls in Delhi, Noida, Gurgaon, Ghaziabad, Connaught Place, Greater Kailash Delhi, Lajpat Nagar Delhi, Mayur Vihar Delhi, Chanakyapuri Delhi, New Friends Colony Delhi, Majnu Ka Tilla, Karol Bagh, Malviya Nagar, Saket, Khan Market, Noida Sector 18, Noida Sector 76, Noida Sector 51, Gurgaon Mg Road, Iffco Chowk Gurgaon, Rajiv Chowk Gurgaon All Delhi Ncr Free Home Deliver

08448380779 Call Girls In Civil Lines Women Seeking Men

Delhi Call girls

Building Digital Trust in a Digital Economy Veronica Tan, Director - Cyber Security Agency of Singapore Apidays Singapore 2024: Connecting Customers, Business and Technology (April 17 & 18, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

apidays

The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

Artificial Intelligence: Facts and Myths

Joaquim Jorge

GenCyber Cyber Security Day Presentation

Michael W. Hawkins

Axa Assurance Maroc - Insurer Innovation Award 2024

The Digital Insurer

2024: Domino Containers - The Next Step. News from the Domino Container commu...

Martijn de Jong

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...

Neo4j

Scaling API-first – The story of a global engineering organization

Radu Cotescu

08448380779 Call Girls In Greater Kailash - I Women Seeking Men

Delhi Call girls

Choosing the right accounts payable services provider is a strategic decision that can significantly impact your business's financial performance and operational efficiency. By considering factors such as expertise, range of services, technology infrastructure, scalability, cost, and reputation, businesses can make informed decisions and select a provider that aligns with their unique needs and objectives. Partnering with the right provider can streamline accounts payable processes, drive cost savings, and position your business for long-term success. https://katprotech.com/accounts-payable-and-purchase-order-automation/

Factors to Consider When Choosing Accounts Payable Services Providers.pptx

Katpro Technologies

How to Troubleshoot Apps for the Modern Connected Worker

ThousandEyes

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

A Year of the Servo Reboot: Where Are We Now?

Igalia

Data Cloud, More than a CDP by Matt Robison

Anna Loughnan Colquhoun

Presentation on how to chat with PDF using ChatGPT code interpreter

naman860154

SlideShare Hack Day Oct. 2013

Recomendados

Recomendados

Más contenido relacionado

La actualidad más candente

La actualidad más candente (20)

Destacado

Destacado (15)

Más de SlideShare

Más de SlideShare (20)

Último

Último (20)

SlideShare Hack Day Oct. 2013