Big&open data challenges for smartcity-PIC2014 ShanghaiVictoria López
This talk is about how both private enterprise and government wish to improve the value of their data and how they deal with this issue. The talk summarizes the ways we think about Big Data, Open Data and their use by organizations or individuals. Big Data is explained in terms of collection, storage, analysis and valuation. This data is collected from numerous sources including networks of sensors, government data holdings, company market databases, and public profiles on social networking sites. Organizations use many data analysis techniques to study both structured and unstructured data. Due to volume, velocity and variety of data, some specific techniques have been developed. MapReduce, Hadoop and other related as RHadoop are trendy topics nowadays.
In this talk several applications and case studies are presented as examples. Data which come from government sources must be open. Every day more and more cities and countries are opening their data. Open Data is then presented as a specific case of public data with a special role in Smartcity. The main goal of Big and Open Data in Smartcity is to develop systems which can be useful for citizens. In this sense RMap (Mapa de Recursos) is shown as an Open Data application, an open system for Madrid City Council, available for smartphones and totally developed by the researching group G-TeC (www.tecnologiaUCM.es).
More and more cities, regions and countries gather point cloud data through airborne Lidar sensors. We explain what is point cloud data, discuss Flanders' large point cloud and the challenges that pose the task of computing a 3D model for each building in Flanders.
This talk is about Taskerman, a distributed cluster task manager built on top of AWS SQS, Zookeeper and Yelp PaaSTA. The talk was given at Imperial College, London as part of its 'Application of Computing in Industry' series: http://www.imperial.ac.uk/computing/industry/aci/yelp/
A look back at how the practice of data science has evolved over the years, modern trends, and where it might be headed in the future. Starting from before anyone had the title "data scientist" on their resume, to the dawn of the cloud and big data, and the new tools and companies trying to push the state of the art forward. Finally, some wild speculation on where data science might be headed.
Presentation given to Seattle Data Science Meetup on Friday July 24th 2015.
Big&open data challenges for smartcity-PIC2014 ShanghaiVictoria López
This talk is about how both private enterprise and government wish to improve the value of their data and how they deal with this issue. The talk summarizes the ways we think about Big Data, Open Data and their use by organizations or individuals. Big Data is explained in terms of collection, storage, analysis and valuation. This data is collected from numerous sources including networks of sensors, government data holdings, company market databases, and public profiles on social networking sites. Organizations use many data analysis techniques to study both structured and unstructured data. Due to volume, velocity and variety of data, some specific techniques have been developed. MapReduce, Hadoop and other related as RHadoop are trendy topics nowadays.
In this talk several applications and case studies are presented as examples. Data which come from government sources must be open. Every day more and more cities and countries are opening their data. Open Data is then presented as a specific case of public data with a special role in Smartcity. The main goal of Big and Open Data in Smartcity is to develop systems which can be useful for citizens. In this sense RMap (Mapa de Recursos) is shown as an Open Data application, an open system for Madrid City Council, available for smartphones and totally developed by the researching group G-TeC (www.tecnologiaUCM.es).
More and more cities, regions and countries gather point cloud data through airborne Lidar sensors. We explain what is point cloud data, discuss Flanders' large point cloud and the challenges that pose the task of computing a 3D model for each building in Flanders.
This talk is about Taskerman, a distributed cluster task manager built on top of AWS SQS, Zookeeper and Yelp PaaSTA. The talk was given at Imperial College, London as part of its 'Application of Computing in Industry' series: http://www.imperial.ac.uk/computing/industry/aci/yelp/
A look back at how the practice of data science has evolved over the years, modern trends, and where it might be headed in the future. Starting from before anyone had the title "data scientist" on their resume, to the dawn of the cloud and big data, and the new tools and companies trying to push the state of the art forward. Finally, some wild speculation on where data science might be headed.
Presentation given to Seattle Data Science Meetup on Friday July 24th 2015.
Blockchain Technology - The Next Superpower By Priyank VaghelaPriyankVaghela
What is Blockchain Technology?
Basics of Blockchain
How Does Blockchain work?
Blockchain Timeline
What Blockchain can store?
What is Bitcoin?
BItcoin vs Blockchain
An introductory talk on Bitcoin and cryptocurrencies.
Video (screencast): https://youtu.be/R7hTBcm6EVc
https://s-tikhomirov.github.io/
Earlier versions of this talk were given in Russian (Higher school of Economics, 2014 and Skoltech, 2016).
Internet Of Things: Hands on: YOW! nightAndy Gelme
Introduction to the Internet Of Things ... using the MeshThing hardware running Contiki mesh-networking software for IPv6 / 6LoWPAN. Also, Daryl Wilding McBride (@darylwmcb) covers building a quadcopter for the Outback Joe competition.
Elasticsearch Performance Testing and Scaling @ SignalJoachim Draeger
In this talk I describe the specific challenges that we faced at Signal to make our use case scale. I then go into detail on how we benchmarked single queries and different shard configurations. You can try the experiments yourself using The Signal Media One-Million News Articles Dataset, a Docker Compose stack and some scripts provided here: https://github.com/joachimdraeger/elasticsearch-performance-experiments.
I also got the great advice to have a look at https://github.com/elastic/rally which can also give you summaries for test runs.
Acorn Recovery: Restore IT infra within minutesIP ServerOne
Introducing Acorn Recovery as a Service, a simple, fast, and secure managed disaster recovery (DRaaS) by IP ServerOne. A DR solution that helps restore your IT infra within minutes.
Have you ever wondered how search works while visiting an e-commerce site, internal website, or searching through other types of online resources? Look no further than this informative session on the ways that taxonomies help end-users navigate the internet! Hear from taxonomists and other information professionals who have first-hand experience creating and working with taxonomies that aid in navigation, search, and discovery across a range of disciplines.
This presentation by Morris Kleiner (University of Minnesota), was made during the discussion “Competition and Regulation in Professions and Occupations” held at the Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found out at oe.cd/crps.
This presentation was uploaded with the author’s consent.
0x01 - Newton's Third Law: Static vs. Dynamic AbusersOWASP Beja
f you offer a service on the web, odds are that someone will abuse it. Be it an API, a SaaS, a PaaS, or even a static website, someone somewhere will try to figure out a way to use it to their own needs. In this talk we'll compare measures that are effective against static attackers and how to battle a dynamic attacker who adapts to your counter-measures.
About the Speaker
===============
Diogo Sousa, Engineering Manager @ Canonical
An opinionated individual with an interest in cryptography and its intersection with secure software development.
This presentation, created by Syed Faiz ul Hassan, explores the profound influence of media on public perception and behavior. It delves into the evolution of media from oral traditions to modern digital and social media platforms. Key topics include the role of media in information propagation, socialization, crisis awareness, globalization, and education. The presentation also examines media influence through agenda setting, propaganda, and manipulative techniques used by advertisers and marketers. Furthermore, it highlights the impact of surveillance enabled by media technologies on personal behavior and preferences. Through this comprehensive overview, the presentation aims to shed light on how media shapes collective consciousness and public opinion.
Sharpen existing tools or get a new toolbox? Contemporary cluster initiatives...Orkestra
UIIN Conference, Madrid, 27-29 May 2024
James Wilson, Orkestra and Deusto Business School
Emily Wise, Lund University
Madeline Smith, The Glasgow School of Art