1) The document discusses a presentation on the Web Processing Service (WPS) standard. WPS defines how geospatial processes can be published, described, and executed over the web.
2) WPS version 1.0 specifies operations for getting process descriptions, executing processes, and managing asynchronous executions. WPS version 2.0 adds new operations for managing process executions.
3) Examples show how WPS can be used for simple GIS processes, image processing workflows, and chaining multiple processes together across different servers.
Have a legacy software portfolio? Stepping into unfamiliar code, especially legacy code, can be very scary. Code uses local file system or unusual directory layout or homegrown shim for interacting with databases, cache or user directories, secrets lying bare etc.
You can confront monoliths and transform them. So, where do you start when considering an app migration? What apps need to continue running for the next six years and at a lower cost?
Let's look at what and why for monolith & n-tier ==> microservice architecture transformation. What are the popular microservice frameworks for Java customers? How to decompose monolith to microservices? Why Spring cloud and what are its key components? As you walk away, you will be ready to dive deeper and go hands-on with Spring Cloud microservices.
Join Kalyan Krishna for Part II on the introduction to Microsoft Graph for developers. Agenda topics include:
-What is Microsoft Graph?
-Why did we build Microsoft Graph?
-Common Scenarios
-Developing applications for Microsoft Graph
-Code walkthrough – Manage Users
-The Big Picture
For more information, please visit https://graph.microsoft.com
Continuous DB Changes Delivery With LiquibaseAidas Dragūnas
The short overview of Continuous Delivery process. The overview of Liquibase technology as one of open source technologies, designed for DB changes migration. Live demonstration of how Liquibase could be used in Continuous Delivery process.
Splunk is a powerful platform that can harness your machine data and turn it into valuable information thereby enabling your business to make informed decisions, taking your organization from reactive to proactive. Just like any other platform, Splunk is only as powerful as the data it has access to, therefore in this session we will be conducting a walk thru of how to successfully on-board data, with samples of data ranging from simple to complex. We will also be taking a look at how to use common TA’s to bring valuable data into Splunk. This session is designed to give you a better understanding of how to onboard data into Splunk enabling you to unlock the power of your data
25 plus years of seasoned data professional in building, managing practices, Global Delivery in Big Data Analytics, Big Data Migration from On-premise to GCP and Azure, EDW & BI, Business analytics, SAP HANA, Predictive Analytics, Data QA, Automation of solutions, Big Data Framework & Methodologies, and Data Products Development
Lors de cette formation, nous ferons un panorama des différentes technologies permettant d’héberger un site web : serveur FTP, serveur Web, PHP, etc.
Après une présentation de plusieurs logiciels libres comme Apache, nous verrons qu’il existe plusieurs possibilités pour héberger un site web à peu de frais.
Enfin, nous présenterons les différentes étapes permettant de mettre un site en ligne : réservation du nom de domaine, choix de l’hébergeur, etc.
Have a legacy software portfolio? Stepping into unfamiliar code, especially legacy code, can be very scary. Code uses local file system or unusual directory layout or homegrown shim for interacting with databases, cache or user directories, secrets lying bare etc.
You can confront monoliths and transform them. So, where do you start when considering an app migration? What apps need to continue running for the next six years and at a lower cost?
Let's look at what and why for monolith & n-tier ==> microservice architecture transformation. What are the popular microservice frameworks for Java customers? How to decompose monolith to microservices? Why Spring cloud and what are its key components? As you walk away, you will be ready to dive deeper and go hands-on with Spring Cloud microservices.
Join Kalyan Krishna for Part II on the introduction to Microsoft Graph for developers. Agenda topics include:
-What is Microsoft Graph?
-Why did we build Microsoft Graph?
-Common Scenarios
-Developing applications for Microsoft Graph
-Code walkthrough – Manage Users
-The Big Picture
For more information, please visit https://graph.microsoft.com
Continuous DB Changes Delivery With LiquibaseAidas Dragūnas
The short overview of Continuous Delivery process. The overview of Liquibase technology as one of open source technologies, designed for DB changes migration. Live demonstration of how Liquibase could be used in Continuous Delivery process.
Splunk is a powerful platform that can harness your machine data and turn it into valuable information thereby enabling your business to make informed decisions, taking your organization from reactive to proactive. Just like any other platform, Splunk is only as powerful as the data it has access to, therefore in this session we will be conducting a walk thru of how to successfully on-board data, with samples of data ranging from simple to complex. We will also be taking a look at how to use common TA’s to bring valuable data into Splunk. This session is designed to give you a better understanding of how to onboard data into Splunk enabling you to unlock the power of your data
25 plus years of seasoned data professional in building, managing practices, Global Delivery in Big Data Analytics, Big Data Migration from On-premise to GCP and Azure, EDW & BI, Business analytics, SAP HANA, Predictive Analytics, Data QA, Automation of solutions, Big Data Framework & Methodologies, and Data Products Development
Lors de cette formation, nous ferons un panorama des différentes technologies permettant d’héberger un site web : serveur FTP, serveur Web, PHP, etc.
Après une présentation de plusieurs logiciels libres comme Apache, nous verrons qu’il existe plusieurs possibilités pour héberger un site web à peu de frais.
Enfin, nous présenterons les différentes étapes permettant de mettre un site en ligne : réservation du nom de domaine, choix de l’hébergeur, etc.
Managing your Hadoop Clusters with Apache AmbariDataWorks Summit
Deploying, configuring, and managing large Apache Hadoop and HBase clusters can be quite complex. Once you have your clusters, keeping them up and running and making sure that the SLAs are met presents even more challenges and headaches to Hadoop operators. To make matters worse, managing upgrades can be a nightmare. Hadoop users are presented with their own fair share of difficulties such as slow running jobs and not knowing why they are slow. For third-party software vendors interested in incorporating Hadoop management and monitoring capabilities, there does not seem to be an obvious, easy solution. Apache Ambari is aimed at making lives of Hadoop operators, users, and integrators simpler by providing a management interface to do all of that and more. This session presents usages of Ambari`s Web UI for Hadoop operators (deploying, managing, and monitoring) as well as Hadoop users (job analytics). The talk will also touch upon Ambari`s REST API and how it is used in the real world. The session concludes by revealing the future roadmap of Ambari including queue management, upgrade, disaster recovery, high availability, and more.
Slides from AIS and Microsoft's half-day session on the recently-announced Windows Azure Infrastructure as a Service (IaaS) offering. After a brief overview of the Azure Platform as a Service (PaaS) model, we will focus on key IaaS concepts. Additionally, we will walk you through a number of scenarios enabled by Azure IaaS and several demonstrations.
Agenda:
Overview of Windows Azure Platform
Azure IaaS
Why IaaS?
IaaS Core Concepts
Supported Applications
Azure Virtual Machines
Disk Mobility
VM export / Import
Availability
Azure Virtual Network
Latest version of the Netflix Cloud Architecture story was given at Gluecon May 23rd 2012. Gluecon rocks, and lots of Van Halen references were added for the occasion. There tradeoff between developer driven high functionality AWS based PaaS, and operations driven low cost portable PaaS is discussed. The three sections cover the developer view, the operator view and the builder view.
Complex event processing (CEP) and stream analytics are commonly treated as distinct classes of stream processing applications. While CEP workloads identify patterns from event streams in near real-time, stream analytics queries ingest and aggregate high-volume streams. Both types of use cases have very different requirements which resulted in diverging system designs. CEP systems excel at low-latency processing whereas engines for stream analytics achieve high throughput. Recent advances in open source stream processing yielded systems that can process several millions of events per second at a sub-second latency. One of these systems is Apache Flink and it enables applications that include typical CEP features as well as heavy aggregations.
Guided by examples, I will demonstrate how Apache Flink enables the user to process CEP and stream analytics workloads alike. Starting from aggregations over streams, we will next detect temporal patterns in our data triggering alerts and finally aggregate these alerts to gain more insights from our data. As an outlook, I will present Flink's CEP-enriched StreamSQL interface providing a declarative way to specify temporal patterns in your SQL query.
In this presentation, we will do assess the on-premises environment and determining what workloads and databases are ready to make the move and what can you do to improve their Azure readiness while reducing downtime during the migration. Planning and assessment plays a critical role in moving to the cloud. We would see wide range of resources and tools to get an assessment completed with ease while identifying workload dependencies with practical tips and tricks focusing on sizing and costs. And finally, we’ll assess the SQL instances and identify their readiness for Azure as well.
SparkOscope: Enabling Apache Spark Optimization through Cross Stack Monitorin...Databricks
During the last year, the team at IBM Research at Ireland has been using Apache Spark to perform analytics on large volumes of sensor data. These applications need to be executed on a daily basis, therefore, it was essential for them to understand Spark resource utilization. They found it cumbersome to manually consume and efficiently inspect the CSV files for the metrics generated at the Spark worker nodes.
Although using an external monitoring system like Ganglia would automate this process, they were still plagued with the inability to derive temporal associations between system-level metrics (e.g. CPU utilization) and job-level metrics (e.g. job or stage ID) as reported by Spark. For instance, they were not able to trace back the root cause of a peak in HDFS Reads or CPU usage to the code in their Spark application causing the bottleneck.
To overcome these limitations, they developed SparkOScope. Taking advantage of the job-level information available through the existing Spark Web UI and to minimize source-code pollution, they use the existing Spark Web UI to monitor and visualize job-level metrics of a Spark application (e.g. completion time). More importantly, they extend the Web UI with a palette of system-level metrics of the server/VM/container that each of the Spark job’s executor ran on. Using SparkOScope, you can navigate to any completed application and identify application-logic bottlenecks by inspecting the various plots providing in-depth timeseries for all relevant system-level metrics related to the Spark executors, while also easily associating them with stages, jobs and even source code lines incurring the bottleneck.
They have made Sparkoscope available as a standalone module, and also extended the available Sinks (mongodb, mysql).
This presentation gives an overview of the Apache Ranger project. It explains Apache Ranger in terms of it's architecture, security, audit and plugin features.
Links for further information and connecting
http://www.amazon.com/Michael-Frampton/e/B00NIQDOOM/
https://nz.linkedin.com/pub/mike-frampton/20/630/385
https://open-source-systems.blogspot.com/
Cloud Reference Architecture - Part 1 FoundationAmmar Hasayen
This presentation covers a practical approach for adopting and migrating on premises systems and applications to the Public Cloud. Based on a clear migration master plan, it helps companies and enterprises to be prepared for Cloud computing, what and how to successfully migrate or deploy systems on Cloud, preparing your IT organization with a sound Cloud Governance model, Security in the Cloud and how to reach the benefits of Cloud computing by automation and optimizing your cost and workloads.
Présentation de Microsoft Office 365 et des briques de sécurité Fédération, P...Microsoft Technet France
L’objectif de cette session est de présenter les briques de sécurité qui peuvent être mises en œuvre pour sécuriser votre messagerie Microsoft Exchange Online. A travers une présentation de la Messagerie Online d’Office 365, nous aborderons les sujets suivants : - Mise en œuvre et sécurisation de la fédération d’identité avec AD FS 2.0 Update 1 - Protection de vos échanges et de vos documents avec S/MIME et AD RMS - Mise en œuvre de l’authentification forte avec SA Server de Gemalto et le proxy ADFS
Web Processing Service is one of the hottest new areas of server side development. So hot in fact that that we got in a bit of trouble last year (brawls in the halls, raised voices and a certain lack of fashion sense).
On a more serious note we are really pleased to offer a panel format discussion with leaders from a selection of key web processing service providers.
52N - Bastian Schäffer deegree
GeoServer - Andrea Amie
GeoTools - Jody Garnett
PyWPS - Jachym Cepicky
ZOO-project - Gérald Fenoy
Several of the projects have been able to participate in a "wps-shootou" on interoperability. This is a particularly tough subject as each server is responsible both for advertising processes, but also has an opportunity to schedule the work of other servers. Come and see how they all did (or did not!) function.
Web Processing Service offers an opportunity for your organisation to make use of the web not just for data publication; but also for analysis and modeling. WPS offers a great solution allowing GIS to finally be used in a modern service oriented architecture with applications ranging from climate modeling through to simple GIS functionality for web applications.
Attend this talk for an entertaining discussion on the state of play in the wps market today. There will be an opportunity for questions.
Semantic search within Earth Observation products databases based on automati...Gasperi Jerome
Since 1972 and the launch of Landsat 1– the first Earth Observation civilian satellite - millions of images have been acquired all over the Earth by a constantly growing fleet of more and more sophisticated satellites. Generally, searching within this huge amount of Earth Observation (EO) images is limited by the description of the acquisition conditions stored in the related metadata files, i.e. Where (footprint), When (time of acquisition) and How (viewing angles, instrument, etc.). Thus the larger community of end users misses the What filter - i.e. a way to filter search in term of image content. RESTo [1] uses the iTag [2] footprint-based tagging system to enhance image metadata and hopefully provides a way to express semantic queries on images content in term of land use. We investigated the performance of RESTo against a 12 millions simulated Sentinel-2 granules database representative of the forthcoming French national mirror site of Sentinel products (PEPS).
Managing your Hadoop Clusters with Apache AmbariDataWorks Summit
Deploying, configuring, and managing large Apache Hadoop and HBase clusters can be quite complex. Once you have your clusters, keeping them up and running and making sure that the SLAs are met presents even more challenges and headaches to Hadoop operators. To make matters worse, managing upgrades can be a nightmare. Hadoop users are presented with their own fair share of difficulties such as slow running jobs and not knowing why they are slow. For third-party software vendors interested in incorporating Hadoop management and monitoring capabilities, there does not seem to be an obvious, easy solution. Apache Ambari is aimed at making lives of Hadoop operators, users, and integrators simpler by providing a management interface to do all of that and more. This session presents usages of Ambari`s Web UI for Hadoop operators (deploying, managing, and monitoring) as well as Hadoop users (job analytics). The talk will also touch upon Ambari`s REST API and how it is used in the real world. The session concludes by revealing the future roadmap of Ambari including queue management, upgrade, disaster recovery, high availability, and more.
Slides from AIS and Microsoft's half-day session on the recently-announced Windows Azure Infrastructure as a Service (IaaS) offering. After a brief overview of the Azure Platform as a Service (PaaS) model, we will focus on key IaaS concepts. Additionally, we will walk you through a number of scenarios enabled by Azure IaaS and several demonstrations.
Agenda:
Overview of Windows Azure Platform
Azure IaaS
Why IaaS?
IaaS Core Concepts
Supported Applications
Azure Virtual Machines
Disk Mobility
VM export / Import
Availability
Azure Virtual Network
Latest version of the Netflix Cloud Architecture story was given at Gluecon May 23rd 2012. Gluecon rocks, and lots of Van Halen references were added for the occasion. There tradeoff between developer driven high functionality AWS based PaaS, and operations driven low cost portable PaaS is discussed. The three sections cover the developer view, the operator view and the builder view.
Complex event processing (CEP) and stream analytics are commonly treated as distinct classes of stream processing applications. While CEP workloads identify patterns from event streams in near real-time, stream analytics queries ingest and aggregate high-volume streams. Both types of use cases have very different requirements which resulted in diverging system designs. CEP systems excel at low-latency processing whereas engines for stream analytics achieve high throughput. Recent advances in open source stream processing yielded systems that can process several millions of events per second at a sub-second latency. One of these systems is Apache Flink and it enables applications that include typical CEP features as well as heavy aggregations.
Guided by examples, I will demonstrate how Apache Flink enables the user to process CEP and stream analytics workloads alike. Starting from aggregations over streams, we will next detect temporal patterns in our data triggering alerts and finally aggregate these alerts to gain more insights from our data. As an outlook, I will present Flink's CEP-enriched StreamSQL interface providing a declarative way to specify temporal patterns in your SQL query.
In this presentation, we will do assess the on-premises environment and determining what workloads and databases are ready to make the move and what can you do to improve their Azure readiness while reducing downtime during the migration. Planning and assessment plays a critical role in moving to the cloud. We would see wide range of resources and tools to get an assessment completed with ease while identifying workload dependencies with practical tips and tricks focusing on sizing and costs. And finally, we’ll assess the SQL instances and identify their readiness for Azure as well.
SparkOscope: Enabling Apache Spark Optimization through Cross Stack Monitorin...Databricks
During the last year, the team at IBM Research at Ireland has been using Apache Spark to perform analytics on large volumes of sensor data. These applications need to be executed on a daily basis, therefore, it was essential for them to understand Spark resource utilization. They found it cumbersome to manually consume and efficiently inspect the CSV files for the metrics generated at the Spark worker nodes.
Although using an external monitoring system like Ganglia would automate this process, they were still plagued with the inability to derive temporal associations between system-level metrics (e.g. CPU utilization) and job-level metrics (e.g. job or stage ID) as reported by Spark. For instance, they were not able to trace back the root cause of a peak in HDFS Reads or CPU usage to the code in their Spark application causing the bottleneck.
To overcome these limitations, they developed SparkOScope. Taking advantage of the job-level information available through the existing Spark Web UI and to minimize source-code pollution, they use the existing Spark Web UI to monitor and visualize job-level metrics of a Spark application (e.g. completion time). More importantly, they extend the Web UI with a palette of system-level metrics of the server/VM/container that each of the Spark job’s executor ran on. Using SparkOScope, you can navigate to any completed application and identify application-logic bottlenecks by inspecting the various plots providing in-depth timeseries for all relevant system-level metrics related to the Spark executors, while also easily associating them with stages, jobs and even source code lines incurring the bottleneck.
They have made Sparkoscope available as a standalone module, and also extended the available Sinks (mongodb, mysql).
This presentation gives an overview of the Apache Ranger project. It explains Apache Ranger in terms of it's architecture, security, audit and plugin features.
Links for further information and connecting
http://www.amazon.com/Michael-Frampton/e/B00NIQDOOM/
https://nz.linkedin.com/pub/mike-frampton/20/630/385
https://open-source-systems.blogspot.com/
Cloud Reference Architecture - Part 1 FoundationAmmar Hasayen
This presentation covers a practical approach for adopting and migrating on premises systems and applications to the Public Cloud. Based on a clear migration master plan, it helps companies and enterprises to be prepared for Cloud computing, what and how to successfully migrate or deploy systems on Cloud, preparing your IT organization with a sound Cloud Governance model, Security in the Cloud and how to reach the benefits of Cloud computing by automation and optimizing your cost and workloads.
Présentation de Microsoft Office 365 et des briques de sécurité Fédération, P...Microsoft Technet France
L’objectif de cette session est de présenter les briques de sécurité qui peuvent être mises en œuvre pour sécuriser votre messagerie Microsoft Exchange Online. A travers une présentation de la Messagerie Online d’Office 365, nous aborderons les sujets suivants : - Mise en œuvre et sécurisation de la fédération d’identité avec AD FS 2.0 Update 1 - Protection de vos échanges et de vos documents avec S/MIME et AD RMS - Mise en œuvre de l’authentification forte avec SA Server de Gemalto et le proxy ADFS
Web Processing Service is one of the hottest new areas of server side development. So hot in fact that that we got in a bit of trouble last year (brawls in the halls, raised voices and a certain lack of fashion sense).
On a more serious note we are really pleased to offer a panel format discussion with leaders from a selection of key web processing service providers.
52N - Bastian Schäffer deegree
GeoServer - Andrea Amie
GeoTools - Jody Garnett
PyWPS - Jachym Cepicky
ZOO-project - Gérald Fenoy
Several of the projects have been able to participate in a "wps-shootou" on interoperability. This is a particularly tough subject as each server is responsible both for advertising processes, but also has an opportunity to schedule the work of other servers. Come and see how they all did (or did not!) function.
Web Processing Service offers an opportunity for your organisation to make use of the web not just for data publication; but also for analysis and modeling. WPS offers a great solution allowing GIS to finally be used in a modern service oriented architecture with applications ranging from climate modeling through to simple GIS functionality for web applications.
Attend this talk for an entertaining discussion on the state of play in the wps market today. There will be an opportunity for questions.
Semantic search within Earth Observation products databases based on automati...Gasperi Jerome
Since 1972 and the launch of Landsat 1– the first Earth Observation civilian satellite - millions of images have been acquired all over the Earth by a constantly growing fleet of more and more sophisticated satellites. Generally, searching within this huge amount of Earth Observation (EO) images is limited by the description of the acquisition conditions stored in the related metadata files, i.e. Where (footprint), When (time of acquisition) and How (viewing angles, instrument, etc.). Thus the larger community of end users misses the What filter - i.e. a way to filter search in term of image content. RESTo [1] uses the iTag [2] footprint-based tagging system to enhance image metadata and hopefully provides a way to express semantic queries on images content in term of land use. We investigated the performance of RESTo against a 12 millions simulated Sentinel-2 granules database representative of the forthcoming French national mirror site of Sentinel products (PEPS).
In this presentation, I illustrate, and discuss initial results from a quantitative analysis of the performance of WPS servers. To do so, two test scenarios were used to measure response time, response size, throughput, and failure rate of five WPS servers including 52North, Deegree, GeoServer, PyWPS, and Zoo. I also assess each WPS server in terms of qualitative metrics such as software architecture, perceived ease of use, flexibility of deployment, and quality of documentation. A case study addressing accessibility assessment is used to evaluate the relative advantages and disadvantages of each implementation, and point to challenges experienced while working with these WPS servers.
Feature description and demonstration of the 52°North implementation of the OGC Web Processing Service interface 1.0.0 along with plans for future development.
Prese
Field Data Collecting, Processing and Sharing: Using web Service TechnologiesNiroshan Sanjaya
Collecting, Distributing and Analyzing field data is a crucial part in any geospatial study. Field data collection tools and methods have been developed significantly due to the advancement of technologies such as Global Navigational Satellite Systems (GNSS) and development of smartphones. Accurate field data collection is also a necessary task for broad spatial data analysis and proper decision making. Development of Web technologies led to share the data and information effectively. This study tries to develop a framework based on the Geospatial Semantic Web technologies for disseminating and processing field data. Experimental results from an implemented prototype show that the proposed framework allows to visualize and process the field data in any context. The system of this study is capable of distributing and processing field data using web application. Moreover, the study demonstrates the importance and the capabilities of web services for spatial data gathering and processing. The system has been developed based on Free and Open Source Software (FOSS) packages such as ZOO-Project, Open Data Kit, etc. It enables user to further improve or deploy the system for variety of studies.
Traitements de données à la demande - Introduction au Web Processing ServiceGasperi Jerome
Toulouse, France - 2013.01.10
Centre de Compétences Techniques "Extraction des données de télémesures et exploitation en temps différé"
WPS (Web Processing Service) est un standard de l'OGC qui définit des interfaces pour faciliter la publication, la description et l'exécution de traitements.
Nous avons exposé sous forme de WPS les traitements d'images de la librairie ORFEO Toolbox (OTB - http://www.orfeo-toolbox.org/) développée par le CNES. A cet effet, nous avons utilisé le serveur constellation (http://www.constellation- sdi.org /).
Ainsi exposés, les traitements sont pilotés à partir d'un navigateur Web en utilisant le client Web mapshup (http://mapshup.info). mapshup prend en charge les processus synchrones et asynchrones et offre une visualisation directe des résultats.
The Professional Developers Conference (PDC) is the definitive developer event focused on the technical strategy of the Microsoft developer platform. In this session David Glover & Catherine Eibner provide their summary of what was hot to trot at the PDC 2009.
Toulouse, France - 2013.05.30
Centre de Compétences Techniques "Cloud Computing et Big Data"
WPS is an OGC standard which defines interfaces to publish, describe and execute geospatial processes
The Orfeo Toolbox (OTB - http://www.orfeo-toolbox.org/) is an Open Source Remote Sensing Image Processing software library developed by CNES. The aim of the toolbox is to gather a large number of state of the art algo- rithms for building processing chains for satellite images. Using the constellation server (http://www.constellation-sdi.org/), we exposed the main OTB processing chains as Web Processing Services (WPS). The WPS provides rules for standardizing inputs and outputs for invoking geospatial processing services. These services are managed from a web browser using the mapshup web client (http://mapshup.info). mapshup supports both synchronous and asynchronous processes and offers direct visualisation of results. The whole system provides user a complete and comprehensive image processing chain to produce land cover classification from satellite orthoimagery.
With an update to WPS 2.0, this chain should fit well to a Cloud architecture
Hpe service virtualization 3.8 what's new chicago admJeffrey Nunn
Service Virtualization is an HPE branded solution that helps simulate and emulate the behavior of specific components in heterogeneous component-based applications such as API-driven apps, ERP apps, cloud-based apps, and web services/service-oriented architectures (SOA).
Value Proposition
Empowers developers and testers to easily automate, predict, accelerate and scale their application testing and delivery through virtualization and simulation of dependent components and services that are either off limits, unavailable, inaccessible, or with costly fees to access.
www.magnifictraining.com - "sap basis" Online Training contact us:info@magnifictraining.com or+1-6786933994,+1-6786933475, +919052666559,+919052666558 By Real Time Experts from Hyderabad, Bangalore,India,USA,Canada,UK, Australia,South Africa,Sweden,Denmark.
Progressive Web Applications have gained unparalleled momentum in the tech world and are currently one of the hottest trends in Web Development. Find out how PWA attempts to combine features offered by most modern browsers with the benefits of mobile experience and how service workers make them fast, reliable & engaging.
Overview of web services and web service architectures.
Web services have come of age and are the foundation of today's enterprise application architectures.
Service Oriented Architecture (SOA) break up traditional application silos into reusable services shared and used by different applications.
Web services group and encapsulate related functionality into reusable functional units.
Web service intermediaries complement the business functionality exposed by web services with
functions such as authentication, load balancing, logging and caching.
To control web service consumer and producer compatibility, web services should carry the version of the service in the interface.
The main aim of service-oriented architecture is to allow users to mix large chunks of functionalities into one in order to build an application and services by combining services. This architectural design of node backend application is considered a best practice in industrial labels.
Automating it management with Puppet + ServiceNowPuppet
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.
Le programme Copernicus est entré en phase opérationnelle en 2014. La composante spatiale comprend des missions Sentinel développées par l’ESA qui, pour la première fois, offrent un accès gratuit à des données multi-capteurs de très grande qualité. La mise à disposition de ces données et des services à valeur ajoutée sur ces données stimulera la recherche et le développement du secteur aval. Deux missions Sentinel sont déjà en orbite : Sentinel-1A (imageur radar) a été lancée le 3 avril 2014 et Sentinel-2A (imageur optique) a été lancée le 23 juin 2015. Le lancement de Sentinel-3A (imageur grand champ et altimètre) est actuellement prévu pour février 2016.
Les données Sentinel sont destinées à être diffusées à toutes les communautés d’utilisateurs, en Europe et dans le monde. A terme, elles généreront 13 To/jour, soit presque 5 Po de données par an.
La plateforme PEPS (Plateforme d’Exploitation des Produits Sentinel) assure la diffusion des produits Sentinel au niveau français pour soutenir la mise en place et le suivi des politiques environnementales, favoriser le développement industriel et l’émergence de services aval, et répondre aux attentes de la communauté scientifique. Le projet PEPS est une plateforme conçue pour offrir aux utilisateurs nationaux des performances accrues d’accès aux volumes très élevés des données Sentinel.
2016.02.18 big data from space toulouse data scienceGasperi Jerome
Le programme européen Copernicus vise à doter l'Europe d'une capacité opérationnelle et autonome d'observation de la Terre en tant que « services d’intérêt général européen, à accès libre, plein et entier ». A cet effet, l’ESA développe 6 familles de satellites dédiés à l’observation de la Terre - Les Sentinels. D’ici 2020, le volume de données acquises par ces satellites sera de l’ordre de 20 Pétaoctets. Cette avalanche de données offre des opportunités importantes notamment dans les domaines de la recherche, des services et de l’innovation. Elle pose aussi des défis techniques - comment stocker ces données, et au delà, comment chercher, diffuser et traiter ces données afin de fournir aux utilisateurs le service ou l’information dont ils ont besoin.
Présenté au Toulouse Data Science le 18.02.2016 - http://www.meetup.com/fr-FR/Tlse-Data-Science/events/228423095/
2015.11.12 big data from space - cusi toulouseGasperi Jerome
Les enjeux du Big Data et des technologies liées à son émergence dans les domaines du spatial et de l'information géographique sont nombreux. Après un rappel des concepts du "Big Data", la présentation s’appuiera sur des exemples concrets de réalisations utilisant la donnée spatiale, utilisations qui n'auraient pas pu voir le jour sans ces technologies.
Big Data - Accès et traitement des données d’Observation de laTerreGasperi Jerome
Le succès du programme Copernicus piloté par l’Union Européenne en coordination avec l’ESA et les Etats membres repose sur l’appui du programme aux politiques publiques européennes et sa capacité à favoriser l’innovation par le développement des services à valeur ajoutée en Europe. Une politique de données « libre et gratuite » a été promue dans cette optique avec comme conditions essentielles, d'une part la facilité d'accès aux données par les utilisateurs publics et privés, et, d'autre part, la mise en place d'un plan d’action pour stimuler le secteur aval.
A cet effet, le CNES en tant que « segment sol collaboratif » complète au travers du projet PEPS l’accès large aux produits des satellites Sentinels. Avec 4 To de données supplémentaires chaque jour pour un volume de 20 Po de données à l'horizon 2020, l'enjeu de PEPS est de garantir un accès performant aux données en proposant notamment des capacités de traitement colocalisées et ainsi favoriser l'adoption et l'utilisation des données d'Observation de la Terre
On-demand EO Processing Services in a federation of European Ground Segments
Centralisation vs FedearaMake things work
Limit as possible data transfert be
« Bring process to data » vs « Bring data to process » when possible
tween clouds Processing results should be downloaded only if needed
Good option is to offer a Web service to visualize/manipulate results
Interoperability layers between clouds Authentication, Catalogs search, Virtualization
High speed network between clouds
RESTo - restful semantic search tool for geospatialGasperi Jerome
RESTo implements search service with semantic query analyzis on Earth Observation metadata database. It conforms to OGC 13-026 standard - OpenSearch Extension for Earth Observation
CEOS WGISS 36 - Frascati, Italy - 2013.09.19
Single Sign On with OAuth and OpenID used for Kalideos project and to be used within the French Land Surface Thematic Center
Data access and data extraction services within the Land Imagery PortalGasperi Jerome
Models for scientific exploitation of EO Data - Frascati - October 12th 2012
Presentation of the architecture of the french Land Imagery portal data access
Semantic search applied to Earth Observation productsGasperi Jerome
Seoul, Korea - 2012.10.10
82th OGC Technical Comittee
How to search for Earth Observation imagery that contains coastal cultivated areas ?
Semantic content extraction from image is a complex and time consuming task. A simpler approach is to use the metadata footprint against exogenous data to perform image characterization.
SLACkER (SimpLe Automated Characterization of EaRth observation products) uses Global Land Cover 2000 classification to perform automatically such characterization
Accès à l’information satellitaire dans un contexte réactif de catastrophe na...Gasperi Jerome
Les rencontres de SIG-la-lettre - Paris, 5 avril 2012
L’imagerie satellitaire est une source d'information déterminante en cas de catastrophe naturelle. Tous les processus mis en œuvre dans ces situations sont soumis à des contraintes de délai. De l’acquisition de la donnée image jusqu’à la production de cartes destinées aux acteurs de terrain, c'est une course contre la montre qui s'engage dans laquelle le choix des sources satellitaires est primordiale. Aujourd'hui, ce sont plusieurs dizaines de sources images qui sont accessibles et l'utilisateur doit pourvoir très rapidement identifier les sources les plus appropriées pour son besoin cartographique.
Dans ce contexte, le catalogue de la Charte internationale sur les Risques Majeurs (http://www.disasterschartercatalog.org) offre un accès aux données acquises dans le cadre de ce projet. En suivant les standards d'interopérabilité et en proposant une interface de recherche innovante, ce service répond aux deux grandes problématiques de la diffusion de données, l'accessibilité et "l'utilisabilité" du service.
Experimenting a cloud based solution for image processing and data accessGasperi Jerome
Toulouse, CNES - 2012.02.29
GSCB - Cloud Computing Workshop (http://earth.esa.int/gscb/)
Presentation of an OpenStack cloud based solution for processing SRTM data
Cloud computing and web processing servicesGasperi Jerome
Toulouse, CNES - 2013.10.01
RTSTechniques de l'Information et de la Communication
Synthesis of R&T projects on Cloud Computing and WPS - i.e. OpenStack cloud based solution for processing SRTM data followed by Land Cover classification through WPS
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
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GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
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https://arxiv.org/abs/2306.08302
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https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
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The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
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Bob Boule
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Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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UI automation Sample
Desktop automation flow
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Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
2. Interoperability
What it means, Why it matters
Open Geospatial Consortium
Web Processing Service
What is WPS ?
WPS 1.0
WPS 2.0
WPS in action
Simple GIS processing
Image processing
Chaining WPS
What's next ?
8. format | description | access
files metadata services
Known and readable !
(ex.. JPG,TIF, HDF, etc.)
A structured (e.g. XML) and
standardized (e.g. ISO 19115) description
OGC Web services
W*S
9. INTEROPERABILITY
format | description | access
files metadata services
Known and readable !
(ex.. JPG,TIF, HDF, etc.)
A structured (e.g. XML) and
standardized (e.g. ISO 19115) description
OGC Web services
W*S
10. Simple Complex
Requirements not supported
Low harmonization
Few benefits
Too simple
Difficult to implement
High costs
Substantial benefits to few users
Too complex
The right level of Interoperability
?
12. The Open Geospatial Consortium (OGC) is an international organization
originated in 1994 which encourage development and implementation
of open standards for geospatial content and services, GIS data
processing and data sharing.
17. WPS is an OGC standard that defines how to publish, describe and
execute geospatial processes
18. The WPS interface standardizes the way processes and their inputs/
outputs are described, how a client can request the execution of a
process, and how the output from a process is handled.
19. WPS does not specify the kind of processes that could be implemented
as a web service. Instead, it specifies a generic mechanism that can be
used to describe and web-enable any sort of geospatial process
23. GetCapabilities
The GetCapabilities operation
p r ov i d e s a c c e s s t o g e n e r a l
information about a live WPS
implementation, and lists the
operations and access methods
supported by that implementation
Publish
1
DescribeProcess
The DescribeProcess operation allows
WPS clients to request a full
of one or more
executed by the service. This description
includes the
parameters and formats and can be used
to automatically build a user interface to
capture the parameter values to be used
to execute a process
Describe
2
Execute
The Execute operation allows WPS
clients to
implemented by a server, using the
input parameter values provided and
returning
Inputs can be included directly in the
Execute request, or reference
accessible
Execute
3
24. <wps:Capabilities service="WPS" xml:lang="en-EN" version="1.0.0" updateSequence="1352815432361">!
<ows:ServiceIdentification>!
[...Service information i.e. title, abstract, keywords, etc...]!
</ows:ServiceIdentification>!
<ows:ServiceProvider>!
[...Provider information i.e. name, adress, phone, etc...]!
</ows:ServiceProvider>!
<ows:OperationsMetadata>!
[...URLs to GetCapabilities, DescribeProcess and execute services...]!
</ows:OperationsMetadata>!
<wps:ProcessOfferings>!
<wps:Process wps:processVersion="1.0.0">!
<ows:Identifier>urn:ogc:cstl:wps:otb:classification</ows:Identifier>!
<ows:Title>Classification</ows:Title>!
<ows:Abstract>Performs an image classification</ows:Abstract>!
</wps:Process>!
[...]!
</wps:ProcessOfferings>!
<wps:Languages>!
[...]!
</wps:Languages>!
<wps:WSDL xlink:href=""/>!
</wps:Capabilities>!
GetCapabilities http://mon.serveur.com/wps?service=WPS&request=GetCapabilities
25. GetCapabilities
The GetCapabilities operation
p r ov i d e s a c c e s s t o g e n e r a l
information
implementation, and
operations
supported by that implementation
Publish
1
DescribeProcess
The DescribeProcess operation allows
WPS clients to request a full description
of one or more processes that can be
executed by the service. This description
includes the input and output
parameters and formats and can be used
to automatically build a user interface to
capture the parameter values to be used
to execute a process
Describe
2
Execute
The Execute operation allows WPS
clients to
implemented by a server, using the
input parameter values provided and
returning
Inputs can be included directly in the
Execute request, or reference
accessible
Execute
3
26. <wps:ProcessDescriptions xmlns:gml="http://www.opengis.net/gml" xmlns:xlink="http://www.w3.org/1999/
xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:wps="http://www.opengis.net/wps/1.0.0"
xmlns:ows="http://www.opengis.net/ows/1.1" service="WPS" version="1.0.0" xml:lang="en-EN">!
<ProcessDescription storeSupported="true" statusSupported="true" wps:processVersion="1.0.0">!
<ows:Identifier>urn:ogc:cstl:wps:otb:classification</ows:Identifier>!
<ows:Title>Classification</ows:Title>!
<ows:Abstract>Performs an image classification</ows:Abstract>!
<DataInputs>!
[...Standardized description of ComplexData, LiteralData or BoundingBoxData...]!
</DataInputs>!
<ProcessOutputs>!
[...Standardized description of ComplexOutput, LiteralOutput or BoundingBoxOutput...]!
</ProcessOutputs>!
</ProcessDescription>!
</wps:ProcessDescriptions>!
DescribeProcess http://mon.serveur.com/wps?service=WPS&request=DescribeProcess&identifier=urn:ogc:cstl:wps:otb:classification
storeSupported If set to true, process is launched asynchronously - acknowledgment is immediately sent back by the server and the
process is executed in background. Otherwise, process is launched synchronously - client holds on until the process is
finished and result is sent back (this could lead to timeout if process is too long)
27. GetCapabilities
The GetCapabilities operation
p r ov i d e s a c c e s s t o g e n e r a l
information
implementation, and
operations
supported by that implementation
Publish
1
DescribeProcess
The DescribeProcess operation allows
WPS clients to request a full
of one or more
executed by the service. This description
includes the
parameters and formats and can be used
to automatically build a user interface to
capture the parameter values to be used
to execute a process
Describe
2
Execute
The Execute operation allows WPS
clients to run a specified process
implemented by a server, using the
input parameter values provided and
returning the output values produced.
Inputs can be included directly in the
Execute request, or reference web
accessible resources
Execute
3
31. WPS 2.0 adds process management operations - Dismiss, Pause, Resume
and GetStatus. This set of operations is a must have to deploy
asynchronous WPS - especially in the
32. GetStatus
The GetStatus operation allows WPS
clients to query the status of an
asynchronously executed job
Check
4
GetResult
The GetResult operation allows WPS
clients to query the result of a finished
processing job. It is used in conjunction
with asynchronous execution
Retrieve
5
Dismiss
The dismiss extension allows a client
to cancel a job execution. The
dismiss operation is a job control
operation. Its availability is indicated
p e r p r o c e s s u s i n g t h e
j o b C o n t r o l O p t i o n s i n t h e
P r o c e s s S u m m a r y a n d t h e
ProcessOffering structures.
Abort
6
33. Pause
The Pause operation allows clients to
pause an asynchronous execution
request of a Process. Depending of
the state of the Processing Job, its
execution would not start or being
paused. On successful pause, updated
status is sent back with the state
processPaused
Pause
7
Resume
The Resume operation allows clients to
resume the asynchronous execution
request of a Process in the sense of the
Processing Job would be eligible again for
execution. On successful resume,
updated status is sent back with the state
set to the state that Processing Job had
when it have been paused
Resume
8
34. WPS 2.0 should be officially approved as an OGC standard in fall 2014
41. Transferring a large volume of data is problematic
True for upload (i.e. the input image) and download (i.e. the result)
Issue...
42. Data and processes should be collocated
Processing results should be downloaded only if needed
Good option is to offer a Web service to visualize/manipulate results
...so
45. Orfeo Toolbox Remote sensing image library
Open Source
Developped by the French Space Agency
Processing
46. Orfeo Toolbox More than 70 high level processing chains
orthorectification
segmentation
classification
etc.
Processing
47. Orfeo Toolbox More than 70 high level processing chains
orthorectification
segmentation
classification
etc.
Processing
Supervised learning
(land cover is computed from a set of "well known areas" given by user)
Based on SVM
(http://en.wikipedia.org/wiki/Support_vector_machine)
49. mapshup Improves access to geospatial data
HTML + javascript
Based on OpenLayers and jQuery
Web
application
50. WPSWPS a
Web application
1
1 - DescribeProcess request for "Classification"
Classification process
description
2
2 - Set up MMI from process description
+Image url
Well known areas
3
3 - Execute an asynchronous "Classification" request
Land Cover
4
4 - Display result retrieved as a WMS layer
Orfeo Toolbox
mapshup
Image
56. A Web client can be used to orchestrate a service chain that includes one or
more WPS within a federation
57. Chaining WPS
OWS-10 OGC testbed - Quality assessment and land cover services in a collaborative clouds environment
58. Note: this work is the result of the CNES/Astrium joint initiative within the
« Open Mobility » thread - Cloud Computing of the OGC OWS-10 Testbed
59. Orthorectification of raw image
!
Assess quality of the orthorectified image
in terms of geometrical accuracy
!
Compute Land Cover map from
an orthorectified image
Features
60. Client base processing chain workflow
between multiple clouds
!
Collaborative processing without raw data
acquisition transfert between clouds
!
WPS based on demand processing
!
Integration of Orfeo Toolbox library within
Constellation SDI
Key points