At Esri UK Annual Conference 2014
United Utilities (UU) is one of the UK’s largest water and wastewater companies with seven million people in the North West of England. UU had been working with an old GIS ‘landscape’ implementation, comprising five separate systems. Without an enterprise GIS platform affording ‘one version of the truth’, there were risks to the business of making decisions based on wrong or missing information. UU embarked on the journey of Linear Asset Management (LAM) programme with an aim to create a future-proof GIS platform and take UU right to the front of the utility industry in terms of leading-edge technology and state-of-the-art information management.
Spline: Apache Spark Lineage not Only for the Banking Industry with Marek Nov...Spark Summit
Data lineage tracking is one of the significant problems that financial institutions face when using modern big data tools. This presentation describes Spline – a data lineage tracking and visualization tool for Apache Spark. Spline captures and stores lineage information from internal Spark execution plans and visualizes it in a user-friendly manner.
This is a sample deck that introduces a small to medium size organization to a straight-forward IT Governance methodology. Tools and tips are available for this at no charge. Contact steve@gerick.org
Report on the First Knowledge Graph Reasoning Challenge 2018 -Toward the eXp...KnowledgeGraph
JIST2019: The 9th Joint International Semantic Technology Conference
The premium Asian forum on Semantic Web, Knowledge Graph, Linked Data and AI on the Web. Nov. 25-27, 2019, Hangzhou, China.
http://jist2019.openkg.cn/
Graph Machine Learning in Production with Neo4jNeo4j
In our presentation at Data Innovation Summit 2023, we explained how you could accelerate AI and machine learning innovation by using graph data science.
This comes down to three things: 1. Getting your data into a graph
2. Use graph algorithms to find what’s important
3. Use machine learning to make predictions on your graph
We covered these three key steps with code examples and discussed some key considerations when moving your ML workloads to production.
Describing the Organisation Data LandscapeAlan McSweeney
Outlines an Approach to Describing the Organisation Data Landscape to Assist with Data Transformation Analysis and Planning
The Data Landscape is a representation of the organisation’s data entities and their relationships, interfaces and data flows. Data entities are data asset components that perform data-related functions, from data storage to data transfer and data processing within the Data Landscape.
The objective of developing a Data Landscape model is to define an approach for formally and exactly defining the operation and use of data at a high-level within the organisation and to plan for future changes. It allows the enterprise data fabric to be defined and modelled.
Creating a data landscape view is important as data underpins the operation of information technology solutions and business processes. Data breathes life into solutions as its flows through the organisation. The optimum and most cost-effective design of the data landscape is therefore important. Similarly, solutions that are developed or acquired and deployed on the data landscape
The nature of the organisation data landscape is changing as organisations are undergoing a data transformation.
In this slidecast, Alex Gorbachev from Pythian presents a Practical Introduction to Hadoop. This is a great primer for viewers who want to get the big picture on how Hadoop works with Big Data and how this approach differs from relational databases.
Watch the presentation: http://inside-bigdata.com/slidecast-a-practical-introduction-to-hadoop/
Download the audio:
Spline: Apache Spark Lineage not Only for the Banking Industry with Marek Nov...Spark Summit
Data lineage tracking is one of the significant problems that financial institutions face when using modern big data tools. This presentation describes Spline – a data lineage tracking and visualization tool for Apache Spark. Spline captures and stores lineage information from internal Spark execution plans and visualizes it in a user-friendly manner.
This is a sample deck that introduces a small to medium size organization to a straight-forward IT Governance methodology. Tools and tips are available for this at no charge. Contact steve@gerick.org
Report on the First Knowledge Graph Reasoning Challenge 2018 -Toward the eXp...KnowledgeGraph
JIST2019: The 9th Joint International Semantic Technology Conference
The premium Asian forum on Semantic Web, Knowledge Graph, Linked Data and AI on the Web. Nov. 25-27, 2019, Hangzhou, China.
http://jist2019.openkg.cn/
Graph Machine Learning in Production with Neo4jNeo4j
In our presentation at Data Innovation Summit 2023, we explained how you could accelerate AI and machine learning innovation by using graph data science.
This comes down to three things: 1. Getting your data into a graph
2. Use graph algorithms to find what’s important
3. Use machine learning to make predictions on your graph
We covered these three key steps with code examples and discussed some key considerations when moving your ML workloads to production.
Describing the Organisation Data LandscapeAlan McSweeney
Outlines an Approach to Describing the Organisation Data Landscape to Assist with Data Transformation Analysis and Planning
The Data Landscape is a representation of the organisation’s data entities and their relationships, interfaces and data flows. Data entities are data asset components that perform data-related functions, from data storage to data transfer and data processing within the Data Landscape.
The objective of developing a Data Landscape model is to define an approach for formally and exactly defining the operation and use of data at a high-level within the organisation and to plan for future changes. It allows the enterprise data fabric to be defined and modelled.
Creating a data landscape view is important as data underpins the operation of information technology solutions and business processes. Data breathes life into solutions as its flows through the organisation. The optimum and most cost-effective design of the data landscape is therefore important. Similarly, solutions that are developed or acquired and deployed on the data landscape
The nature of the organisation data landscape is changing as organisations are undergoing a data transformation.
In this slidecast, Alex Gorbachev from Pythian presents a Practical Introduction to Hadoop. This is a great primer for viewers who want to get the big picture on how Hadoop works with Big Data and how this approach differs from relational databases.
Watch the presentation: http://inside-bigdata.com/slidecast-a-practical-introduction-to-hadoop/
Download the audio:
Metadata Matters! What it is and How to Manage itSafe Software
The world is awash in data. So how can you find and know that the data you have is the data you need? Metadata. It's the data about data, and it plays a critical role in the management and automated processing of spatial datasets.
Traditionally, metadata is managed in two ways: (1) it’s not being managed at all, or (2) by filling out tedious forms or hand editing XML documents. Either way, metadata is usually accompanied by groans of frustration.
But what if we told you it didn’t have to be that way?
Metadata management done right ensures your organization is using the right data for the right purpose.
In this webinar, learn how you can manage metadata directly in your workflows. With FME, you can automate metadata updates to improve data quality and organize datasets. Plus, you’ll never have to fill out another boring form.
Stop spending time searching for incorrect data. By automatically managing metadata, you can enjoy quality data the moment you require it.
Data-Ed Slides: Best Practices in Data Stewardship (Technical)DATAVERSITY
In order to find value in your organization's data assets, heroic data stewards are tasked with saving the day- every single day! These heroes adhere to a data governance framework and work to ensure that data is: captured right the first time, validated through automated means, and integrated into business processes. Whether its data profiling or in depth root cause analysis, data stewards can be counted on to ensure the organization's mission critical data is reliable. In this webinar we will approach this framework, and punctuate important facets of a data steward’s role.
Learning Objectives:
- Understand the business need for a data governance framework
- Learn why embedded data quality principles are an important part of system/process design
- Identify opportunities to help drive your organization to a data driven culture
This Case Study demonstrates the value of the ArchiMate® 2.1 modeling language for planning and expressing complex business transformation. The Case Study is about a fictitious manufacturer named ArchiMetal. Through high-level architecture modeling, the ArchiMate language illuminates the coherence between an organization, and its processes, applications, and infrastructure. This Case Study presents examples of ArchiMate models that can be elaborated as necessary for analysis, communication, decision support, and implementation.
After this tutorial you will be equipped with the knowledge necessary to make informed decisions about the design and setup of a cloud-based Big Data platform using the so-called Modern Data Stack (MDS). Bogdan will introduce the main concepts of the MDS and explain its benefits and why it is such a compelling choice for companies of any size. He will also provide advice to help you navigate the ever increasing number of vendors in this space. You will learn what you need to take into consideration when implementing the MDS in your company, and see how it works in a live demo.
Marquez: A Metadata Service for Data Abstraction, Data Lineage, and Event-bas...Willy Lulciuc
At WeWork, it's critical that we understand the complete context for all datasets. We also want to be able to explore dependencies between jobs and the datasets they produce and consume. To do this, WeWork needs metadata. In this talk I will focus on Marquez, a core service for the collection, aggregation and visualization of a data ecosystems metadata. Marquez maintains the provenance of how datasets are consumed and produced while providing global visibility into job runtime.
Organizations have been collecting, storing, and accessing data from the beginning of computerization. Insights gained from analyzing the data enable them to identify new opportunities, improve core processes, enable continuous learning and differentiation, remain competitive, and thrive in an increasingly challenging business environment.
The well-established data architecture, consisting of a data warehouse, fed from multiple operational data stores, and fronted by BI tools, has served most organizations well. However, over the last two decades, with the explosion of internet-scale data, and the advent of new approaches to data and computational processing, this tried-and-true data architecture has come under strain, and has created both challenges and opportunities for organizations.
In this green paper, we will discuss modern approaches to data architecture that have evolved to address these challenges and provide a framework for companies to build a data architecture and better adapt to increasing demands of the modern business environment. This discussion of data architecture will be tied to the Data Maturity Journey introduced in EQengineered’s June 2021 green paper on Data Modernization.
Modeling Big Data with the ArchiMate 3.0 LanguageIver Band
Health care enterprises use big data methods and technologies to gain insights for improving the efficacy, efficiency, and accessibility of their services. Effective big data initiatives require shared understanding among diverse stakeholders of business challenges and the often complex architectures required to address them. Enterprise and solution architects can use the ArchiMate language to build this understanding with compelling visual models.
This presentation introduces the ArchiMate 3.0 language, and uses it to explore the US National Institute of Standards and Technology (NIST) Big Data Reference Architecture (NBDRA), and to present a health care case study based on the NBDRA. Participants will learn how to use the ArchiMate 3.0 language, in alignment with the TOGAF framework, to propose, justify and plan big data initiatives, and to guide their successful implementation.
Jeremy Engle's slides from Redshift / Big Data meetup on July 13, 2017AWS Chicago
"Strategies for supporting near real time analytics, OLAP, and interactive data exploration" - Dr. Jeremy Engle, Engineering Manager Data Team at Jellyvision
Large Scale Geospatial Indexing and Analysis on Apache SparkDatabricks
SafeGraph is a data company — just a data company — that aims to be the source of truth for data on physical places. We are focused on creating high-precision geospatial data sets specifically about places where people spend time and money. We have business listings, building footprint data, and foot traffic insights for over 7 million across multiple countries and regions.
In this talk, we will inspect the challenges with geospatial processing, running at a large scale. We will look at open-source frameworks like Apache Sedona (incubating) and its key improvements over conventional technology, including spatial indexing and partitioning. We will explore spatial data structure, data format, and open-source indexing like H3. We will illustrate how all of these fit together in a cloud-first architecture running on Databricks, Delta, MLFlow, and AWS. We will explore examples of geospatial analysis with complex geometries and practical use cases of spatial queries. Lastly, we will discuss how this is augmented by Machine Learning modeling, Human-in-the-loop (HITL) annotation, and quality validation.
Slides: Success Stories for Data-to-CloudDATAVERSITY
Companies are finding accessing data from a variety of sources can be labor-intensive and costly. Oftentimes these companies are looking to cloud solutions, but are then finding the traditional architecture brittle when trying to move data to the cloud, which can drain organizations of time and resources.
Join this webinar to hear several company success stories, the data-to-cloud issues they were encountering, and the steps these companies took to bring their cloud architecture to a successful, real-time analytic solution unlocking massive amounts of fresh enterprise-wide on a continuous basis.
In addition, you will learn how to:
• Modernize the ETL process to one that’s fast, flexible, and scalable
• Supply users with up-to-date, accurate, trusted data
• Increase your time to value with data in the cloud
• Best practices on how to minimize resource overhead
Metadata Matters! What it is and How to Manage itSafe Software
The world is awash in data. So how can you find and know that the data you have is the data you need? Metadata. It's the data about data, and it plays a critical role in the management and automated processing of spatial datasets.
Traditionally, metadata is managed in two ways: (1) it’s not being managed at all, or (2) by filling out tedious forms or hand editing XML documents. Either way, metadata is usually accompanied by groans of frustration.
But what if we told you it didn’t have to be that way?
Metadata management done right ensures your organization is using the right data for the right purpose.
In this webinar, learn how you can manage metadata directly in your workflows. With FME, you can automate metadata updates to improve data quality and organize datasets. Plus, you’ll never have to fill out another boring form.
Stop spending time searching for incorrect data. By automatically managing metadata, you can enjoy quality data the moment you require it.
Data-Ed Slides: Best Practices in Data Stewardship (Technical)DATAVERSITY
In order to find value in your organization's data assets, heroic data stewards are tasked with saving the day- every single day! These heroes adhere to a data governance framework and work to ensure that data is: captured right the first time, validated through automated means, and integrated into business processes. Whether its data profiling or in depth root cause analysis, data stewards can be counted on to ensure the organization's mission critical data is reliable. In this webinar we will approach this framework, and punctuate important facets of a data steward’s role.
Learning Objectives:
- Understand the business need for a data governance framework
- Learn why embedded data quality principles are an important part of system/process design
- Identify opportunities to help drive your organization to a data driven culture
This Case Study demonstrates the value of the ArchiMate® 2.1 modeling language for planning and expressing complex business transformation. The Case Study is about a fictitious manufacturer named ArchiMetal. Through high-level architecture modeling, the ArchiMate language illuminates the coherence between an organization, and its processes, applications, and infrastructure. This Case Study presents examples of ArchiMate models that can be elaborated as necessary for analysis, communication, decision support, and implementation.
After this tutorial you will be equipped with the knowledge necessary to make informed decisions about the design and setup of a cloud-based Big Data platform using the so-called Modern Data Stack (MDS). Bogdan will introduce the main concepts of the MDS and explain its benefits and why it is such a compelling choice for companies of any size. He will also provide advice to help you navigate the ever increasing number of vendors in this space. You will learn what you need to take into consideration when implementing the MDS in your company, and see how it works in a live demo.
Marquez: A Metadata Service for Data Abstraction, Data Lineage, and Event-bas...Willy Lulciuc
At WeWork, it's critical that we understand the complete context for all datasets. We also want to be able to explore dependencies between jobs and the datasets they produce and consume. To do this, WeWork needs metadata. In this talk I will focus on Marquez, a core service for the collection, aggregation and visualization of a data ecosystems metadata. Marquez maintains the provenance of how datasets are consumed and produced while providing global visibility into job runtime.
Organizations have been collecting, storing, and accessing data from the beginning of computerization. Insights gained from analyzing the data enable them to identify new opportunities, improve core processes, enable continuous learning and differentiation, remain competitive, and thrive in an increasingly challenging business environment.
The well-established data architecture, consisting of a data warehouse, fed from multiple operational data stores, and fronted by BI tools, has served most organizations well. However, over the last two decades, with the explosion of internet-scale data, and the advent of new approaches to data and computational processing, this tried-and-true data architecture has come under strain, and has created both challenges and opportunities for organizations.
In this green paper, we will discuss modern approaches to data architecture that have evolved to address these challenges and provide a framework for companies to build a data architecture and better adapt to increasing demands of the modern business environment. This discussion of data architecture will be tied to the Data Maturity Journey introduced in EQengineered’s June 2021 green paper on Data Modernization.
Modeling Big Data with the ArchiMate 3.0 LanguageIver Band
Health care enterprises use big data methods and technologies to gain insights for improving the efficacy, efficiency, and accessibility of their services. Effective big data initiatives require shared understanding among diverse stakeholders of business challenges and the often complex architectures required to address them. Enterprise and solution architects can use the ArchiMate language to build this understanding with compelling visual models.
This presentation introduces the ArchiMate 3.0 language, and uses it to explore the US National Institute of Standards and Technology (NIST) Big Data Reference Architecture (NBDRA), and to present a health care case study based on the NBDRA. Participants will learn how to use the ArchiMate 3.0 language, in alignment with the TOGAF framework, to propose, justify and plan big data initiatives, and to guide their successful implementation.
Jeremy Engle's slides from Redshift / Big Data meetup on July 13, 2017AWS Chicago
"Strategies for supporting near real time analytics, OLAP, and interactive data exploration" - Dr. Jeremy Engle, Engineering Manager Data Team at Jellyvision
Large Scale Geospatial Indexing and Analysis on Apache SparkDatabricks
SafeGraph is a data company — just a data company — that aims to be the source of truth for data on physical places. We are focused on creating high-precision geospatial data sets specifically about places where people spend time and money. We have business listings, building footprint data, and foot traffic insights for over 7 million across multiple countries and regions.
In this talk, we will inspect the challenges with geospatial processing, running at a large scale. We will look at open-source frameworks like Apache Sedona (incubating) and its key improvements over conventional technology, including spatial indexing and partitioning. We will explore spatial data structure, data format, and open-source indexing like H3. We will illustrate how all of these fit together in a cloud-first architecture running on Databricks, Delta, MLFlow, and AWS. We will explore examples of geospatial analysis with complex geometries and practical use cases of spatial queries. Lastly, we will discuss how this is augmented by Machine Learning modeling, Human-in-the-loop (HITL) annotation, and quality validation.
Slides: Success Stories for Data-to-CloudDATAVERSITY
Companies are finding accessing data from a variety of sources can be labor-intensive and costly. Oftentimes these companies are looking to cloud solutions, but are then finding the traditional architecture brittle when trying to move data to the cloud, which can drain organizations of time and resources.
Join this webinar to hear several company success stories, the data-to-cloud issues they were encountering, and the steps these companies took to bring their cloud architecture to a successful, real-time analytic solution unlocking massive amounts of fresh enterprise-wide on a continuous basis.
In addition, you will learn how to:
• Modernize the ETL process to one that’s fast, flexible, and scalable
• Supply users with up-to-date, accurate, trusted data
• Increase your time to value with data in the cloud
• Best practices on how to minimize resource overhead
This is presentation is intended for middle school students. It provides a short introduction to GIS and how to use GIS in the real-world.
ArcGIS Explorer is the software used to demonstrate concepts.
45 minutes + 15 minutes demo
Download ArcGIS Explorer here...
http://www.esri.com/software/arcgis/explorer/
GIS-Integrated Work Management for Utilities with SSP Workforce Management product. This web-based work management system for utilities comes pre-integrated to Schneider Electric Designer and Esri ArcGIS, so that users can seamlessly move between the WMS and the graphic design software.
At Esri UK Annual Conference 2014
Thames Water has been using geographic information system (GIS) solutions from Esri for over six years and ArcGIS Platform now supports almost every part of the organisation. ArcGIS gives Thames Water a single, accurate and up-to-date record of all of its assets and makes this vital business information accessible to employees right across the business. When customers contact Thames Water, call centre agents can locate the caller, identify assets in relation to that customer address and easily see what maintenance or infrastructure projects have occurred or are planned for that area. In addition, Thames Water uses the ArcGIS platform to exchange accurate asset and location information with its mobile engineers, surveyors and field workers. ArcGIS has become an indispensable enterprise system for Thames Water and will continue to play a vital role in the business, as it steadfastly evolves to meet the needs of customers and regulators.
In preparation of the Dubai Rail Master Plan, GIS provided comprehensive mapping and was used for analysis. The GIS developed became integral to the planners, designers and developers assessing future demands of the Dubai Metro. Additionally, methods were developed to create and evaluate scenario based land use plans and socioeconomic projections to accommodate new growth in a more compact and less auto-dependent manner.
Authors note: This presentation was presented at the URISA GIS-Pro 2010 Conference. Figures are shown for illustration purposes only and subject to change without notice. Author does not guarantee the accuracy of the data and information shown and hereby expressly disclaims any responsibility for the truth, lack of truth, validity, invalidity, accuracy, inaccuracy of any said data and information.
FME World Tour 2015 - FME & Data Migration Simon McCabeIMGS
Data migration best practices and procedures with
examples\scenarios from large migrations of utility data
(Water and Electric Data) including:
Designing the migration process
Tools to use in the process
Reporting\Reconciliation processes
Data cleansing
Cutover\Deployment considerations
GIS Asset Management at a Utility: Get Your GAME-FACE OnSSP Innovations
Describes how we created a system to help an American utility:
-To track assets “cradle to grave” geospatially
-All installs, retirements, and adjustments reported from GIS until an Enterprise Asset Management (EAM) system can be agreed upon and implemented.
-Consolidate Systems & Workflow
-Reduce Duplicate Data Entry
-Increase Data Quality & Integrity between remaining systems
Service quality has become increasingly important to a service organization and information technology has become more integral to a firm. The presentation deals with how a state of the art smart grid technology based project was actually implemented in India by the author along with all the facets of advanced Information Technology integration in Utility Operations. Deals with Advanced Billing System, DSM,SCADA, DMS, OMS, GIS, SAP, AMR, ICUCCS, CRM, etc.Therefore, one of the challenges is to manage IT to enhance service quality.
Follow up to this presentation one has to also refer to a research.The objective of the research was to understand the relationship between Smart Grid Technology and service quality. Concepts from management information systems, communications and strategy have been integrated in a conceptual model which describes the management of IT to improve service quality. The case study of an electric utility helped in the development of the research model. The survey was customized according to information technologies and services in the electric utility industry. The correlation analysis results show that the variables in the hypotheses are correlated and the result is highly significant. The multiple regression and path analysis of quantitative data has supported the hypotheses of the research study. The results have shown that system quality, information quality and employee IT characteristics influence employee IT performance, which in turn influences the service quality at the organizational level. How Smart Grid Implementation support directly impacts service quality
The Citywide Street Centerline Database (CSCL) is the authoritative source for location data used by New York City's public safety agencies (NYPD, FDNY) for 911 call-taking and dispatch. It is an ESRI enterprise geodatabase that is jointly maintained by 2 city agencies- the Department of Information Technology and Telecommunications and the Department of City Planning. Designed more for data maintenance, CSCL is not easily accessible by the day-to-day GIS user. This presentation will show how we have applied FME to create a version of CSCL that is better suited for general GIS tasks and made it available to all city agencies, to the public via NYC Open Data, and to Batman.
Hardcastle GIS is a Global GIS Company based in New York, London and Pune.
This document contains all the latest case study by Hardcastle.
To know about case study click on below link
hardcastlegis.com/Case-Study.html
Rims forum 2013 aspec data standards - george havakis gissaINGENIUMrims
The use of data standards is increasing and this talk explores Wellington City's experience with the implementation of a data standard called a-spec and its sub standard for roads called r-spec.
Leveraging ArcGIS Platform & CityEngine for GIS based Master PlansEsri India
Sustainable, scalable and future ready urban development is one the key priorities in India as well globally. Major government programs i.e. Smart Cities and Atal Mission for Rejuvenation and Urban Transformation (AMRUT) aim to build foundations to achieve this.
For any planned development, master plan is a starting point. A master plan provides a long term blueprint that guides the sustainable planned development of the city. Use of GIS for master planning is not new. GIS-based Master Plans will help in different types of urban planning exercises, e.g. preparation of development plan, zonal plan, utility plan, infrastructure plan, etc. Even Smart City program and AMRUT programs mandate use of GIS for master plan creation.
ArcGIS is a complete platform for end-to-end city planning, design and management. The webinar illustrates how ArcGIS Platform and 3D capabilities of CityEngine provides a complete set of tools for end-to-end GIS based master plan creation and updation.
2013 Mission First Track, Navy GeoReadiness: Return on Location by Ed RiegelmannGIS in the Rockies
The GeoReadiness program, led by HQ NAVFAC, and sponsored by OPNAV N46 via Commander Navy Installations Command (CNIC) was established to provide, build, sustain, and advance Navy capabilities to support its shore installation management mission. GeoReadiness combines GIS with business data, providing a powerful media for visualizing problems. Spatial business intelligence is generated when existing enterprise business systems are geographically enabled. The resulting spatial BI enhances decision-making to quickly and more accurately respond to and resolve problems, thus improving shore installation management efficiency and effectiveness. In this presentation, we will provide real world examples of how GeoReadiness is improving Navy business activities, and discuss the pioneering methods used to market geospatial capabilities, discover new use cases, and measure the Return on Location (ROL) value of geospatial capabilities in every day work. We will also present future use cases of how geospatial technologies can reap additional value from traditional business processes as visualizing location invents new methods of knowledge discovery and exploitation for decision support.
A team from SERVIR Mekong, co-funded by NASA and USAID, presented some of their work, specifically the Dam Inundation Area Modeling tool, which show the inundation area created by dams using satellite and other data.
Esri UC 2017 Water Meeting - How Central San Became a GIS-Centric Water Resou...Carl Von Stetten
In 2016 Central San completed the migration of its GIS operations to the ArcGIS platform to provide a foundation for a GIS-Centric operation. Central San leveraged the Local Government Information Model (LGIM) and associated maps, applications, and tools to improve the quality and efficiency of maintaining sewer, recycled water, and parcel-related GIS data. The completed GIS system became the authoritative data source for several other mission-critical applications: an intranet GIS portal, a Computerized Maintenance Management System, a CCTV pipeline inspection system, a hydraulic model, and a capital improvement planning system.
GIS Mobile Apps for Highways - Wiltshire CouncilEsri UK
At Esri UK Annual Conference 2014
With 90% of Council data having a spatial element, either an address or location on a map, the provision of spatial information is a trusted and valuable service within Wiltshire Council. With the ever expanding need for spatial data across the business coupled with pressures to make more savings across the authority, it is essential we maximise the use of our existing contracts, join up and share spatial data across business areas internally and externally and strive to make the best business decisions possible for our customers via GIS.
Smart Grids:Enterprise GIS For Distribution Loss Reduction in Electric Utilit...HIMADRI BANERJI
Electricity Distribution Companies can reduce their T&D Losses by use of Geographical Information System. Experience from a utility.
Please also see
http://reliancenergy.blogspot.com
Solving sustainability challenges with geospatial informationEsri UK
An understanding of location is vital for helping both organisations and governments to reach their sustainability goals. Indeed, geospatial data plays a pivotal role in everything from planning renewable energy policies and rolling out infrastructure for electric cars nationwide, to enhancing the natural capital around an office building or improving waste collection at a business park. This presentation will reveal how Ordnance Survey uses innovation to help its customers see a sustainable place. Learn about a series of ground-breaking propositions that blend geospatial and earth observation technologies to solve some of the world’s most complex sustainability challenges.
Streamlining the design and operation of infrastructure in WalesEsri UK
Streamlining the design and operation of infrastructure in Wales is both an imperative issue and a challenging undertaking, particularly when responding to the climate crisis and budgetary constraints in the Welsh context. The cost of digitisation and varying levels of digital knowledge amongst professionals often impede efforts to streamline processes. ‘Going digital’ with purchases of data, systems and training can be a hurdle for many infrastructure projects, particularly for smaller ones where digitalisation capex can be prohibitively high. See a Welsh example from AtkinsRéalis that provides a workable and highly successful demonstrator of how projects can benefit from a shared GIS model, providing rapid collaboration against a design deadline of climate change.
Ecological monitoring in Wales: data capture in the ERAMMP field surveyEsri UK
As part of the Welsh Government’s Environment and Rural Affairs Monitoring and Modelling Programme (ERAMMP), the UK Centre for Ecology and Hydrology (UKCEH) is re-surveying soil, plants, insects, birds, water and landscape features at 300 distinct 1 km2 sample sites, dispersed across the whole of Wales. This large-scale, four-year project is being undertaken by thirty seven specialist surveyors, who use a suite of ArcGIS apps to view and capture data in the field. Learn how UKCEH has configured different ArcGIS apps to accurately monitor changes to trees and woodlands, geo-reference 4,500 soil samples and record around 1,200 plant species.
Planning a brighter future with a GIS of the WorldEsri UK
With the rise of data and more organisations becoming aware of GIS, we are now starting to understand and see the world as one system. This session explores how Esri UK are building a ‘Living Atlas of the World’ and how a GIS of the World can transform your data management, enable collaboration, and help you gain valuable insights to plan for a brighter future.
Slow Ways is a grassroots initiative to create a national network of walking routes that connect all of Great Britain's towns and cities. Kick-started in 2020 and catalysed by lockdowns, the Slow Ways walking network is being created by thousands of volunteers from across the country. Join this session to learn about this big vision for walking and how the Slow Ways team are using GIS and geospatial thinking to bring it to life. You'll also discover how you can help bring this big idea to life where you live.
Bringing ArcGIS spatial analysis to bear on IoT dataEsri UK
IoT is changing the way we manage key systems and plan our future, generating ever more digital data. This session explores the new capabilities in ArcGIS that are making it easier to apply the power of spatial analysis to IoT data. Whether you need to ask questions of real time feeds or draw insight from ever larger big data sets, there are tools to help.
How climate data can help address the climate challengeEsri UK
Climate change has already altered the weather we experience and the magnitude of impacts from extreme temperatures and rainfall. These impacts manifest locally and can cause human causalities and damage to infrastructure and natural systems. In future, some further climate change is now inevitable, but the rate and magnitude of change will depend on global greenhouse gas emissions. New data and tools to use the data are available to help plot a path through the climate and weather challenges, enabling organisations at all scales to adapt to the changing conditions.
Adam Branscomb ventures to the cutting edge of ArcGIS. Over the course of 30 minutes, he explores how, by faithfully recreating our world, we can make better-informed decisions on the challenges of today and tomorrow.
Get Further by Being Mobile – A Look at Advanced Mobile Techniques in the Arc...Esri UK
Ever wondered if you are getting the most out of mobile in your organisation? In this session learn how ArcGIS apps help to plan, co-ordinate and complete field workflows and discover what’s coming next.
Arcadis - Improving Ground Engineering Data Flows - Smart Infrastructure - AC18Esri UK
As part of the digital engineering solution for Lower Thames Crossing a targeted three-step process has been developed to collect, manage and validate ground information for dissemination across the project. Join this session to understand how Arcadis are using the ArcGIS platform to provide a system of engagement across the project from data capture in the field to dissemination of relevant information to all stakeholders.
Using Jupyter Notebooks - Developers Forum - AC18Esri UK
The ArcGIS API for Python is not only great for administering your Web GIS, it's also amazing for performing exploratory analysis of your data using Jupyter Notebooks. In this session, we will learn how to do just this!
I Didn't Know You Could Do That -Technical - AC18Esri UK
From learning how to create imaginative and attractive pop-ups through to securing public facing data, this session will dive into some of the more nuanced details of the ArcGIS Platform that you may not have been previously aware of, all of which have the potential to improve your GIS experience.
All About Angular and ArcGIS - Developers Forum - AC18Esri UK
Angular is a hugely popular web application framework based on TypeScript. This session will take you through how to get started working with Angular and ArcGIS to create highly capable and interactive apps.
What's New in the Javascript API - Developers Forum - AC18Esri UK
A lot can happen in a year! Our development teams have been hard at work to bring you some amazing new features and help you take your apps to the next level. This rapid fire session will cover the latest and greatest updates in our ArcGIS API for JavaScript, as well as a look at what's coming soon.
GIS Under the Radar - Smart Education - Higher - AC18Esri UK
GIS is an ideal vehicle for meeting the changing expectations of students in Higher Education. Opportunities to introduce GIS to students outside of the formal, taught GIS curriculum, however, often go unrecognised, or are missed. Michael Horswell, from the University of the West of England, will consider the barriers to, and opportunities for, implementing GIS under the radar in HE curricula, as well as the considerable benefits that such an approach presents to students.
Switching Your Teaching to ArcGIS Pro - Smart Education - Higher - AC18Esri UK
ArcGIS Pro is the new kid on the block in terms of desktop applications from Esri. It is fast becoming the industry standard, replacing ArcMap. Should you be thinking about swapping over to teaching you students ArcGIS Pro? We would say yes! It will future proof your courses and ensure that graduates are as employable as possible. In this session we will look at some of the main reasons we think you should start thinking about switching your teaching to ArcGIS Pro and will provide some handy resources to make the transition as smooth as it can be.
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
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Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
Join us on a journey of innovation and growth. Let's partner for success with Prosigns.
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Shahin Sheidaei
Games are powerful teaching tools, fostering hands-on engagement and fun. But they require careful consideration to succeed. Join me to explore factors in running and selecting games, ensuring they serve as effective teaching tools. Learn to maintain focus on learning objectives while playing, and how to measure the ROI of gaming in education. Discover strategies for pitching gaming to leadership. This session offers insights, tips, and examples for coaches, team leads, and enterprise leaders seeking to teach from simple to complex concepts.
Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...Anthony Dahanne
Les Buildpacks existent depuis plus de 10 ans ! D’abord, ils étaient utilisés pour détecter et construire une application avant de la déployer sur certains PaaS. Ensuite, nous avons pu créer des images Docker (OCI) avec leur dernière génération, les Cloud Native Buildpacks (CNCF en incubation). Sont-ils une bonne alternative au Dockerfile ? Que sont les buildpacks Paketo ? Quelles communautés les soutiennent et comment ?
Venez le découvrir lors de cette session ignite
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
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In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
top nidhi software solution freedownloadvrstrong314
This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
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Providing Globus Services to Users of JASMIN for Environmental Data AnalysisGlobus
JASMIN is the UK’s high-performance data analysis platform for environmental science, operated by STFC on behalf of the UK Natural Environment Research Council (NERC). In addition to its role in hosting the CEDA Archive (NERC’s long-term repository for climate, atmospheric science & Earth observation data in the UK), JASMIN provides a collaborative platform to a community of around 2,000 scientists in the UK and beyond, providing nearly 400 environmental science projects with working space, compute resources and tools to facilitate their work. High-performance data transfer into and out of JASMIN has always been a key feature, with many scientists bringing model outputs from supercomputers elsewhere in the UK, to analyse against observational or other model data in the CEDA Archive. A growing number of JASMIN users are now realising the benefits of using the Globus service to provide reliable and efficient data movement and other tasks in this and other contexts. Further use cases involve long-distance (intercontinental) transfers to and from JASMIN, and collecting results from a mobile atmospheric radar system, pushing data to JASMIN via a lightweight Globus deployment. We provide details of how Globus fits into our current infrastructure, our experience of the recent migration to GCSv5.4, and of our interest in developing use of the wider ecosystem of Globus services for the benefit of our user community.
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
Navigating the Metaverse: A Journey into Virtual Evolution"Donna Lenk
Join us for an exploration of the Metaverse's evolution, where innovation meets imagination. Discover new dimensions of virtual events, engage with thought-provoking discussions, and witness the transformative power of digital realms."
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus
As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
2. Our Strategy and vision – History of
GIS in UU
1900 – 1994
• Asset records hand drawn in a number of individual local
drawing offices.
• Wax on linen drawings, 1250 plans, manhole cards, trial
hole records.
• No uniform data capture standards in place.
• Sewer maintenance carried out partly in house, partly by
local authorities.
3. Strategy and vision – History of GIS
in UU
1994: First UU GIS – WaterGS
• Autodesk based product, integrated with
customer contact and work management
mainframe systems.
• Significant programme of digitising on and
offshore to create digital records for the
first time.
• Used to manage water assets, land and
property boundaries and incidents.
1997: Wastewater assets are migrated
into WaterGS
1997 – 2011:
• Business requirements drive development
of further GIS solutions, MapInfo,
Strumap, Map Extreme etc.
4. Map
Info
Strumap
What’s wrong with this picture?
Capital projects
Field reports Network Updates Data everywhere!
transfer
extract
manually update
transfer
extract
manually update
Map/geographic information available to the relevant business areas
Water GS
Why We Needed to Change
5. A consistent view of our network – wherever you are, whatever you do!
One
mapping
system
Step 1: Where Do We Need To Be
6. Step 2. Check The Foundations:
Data Work Package
• Data required migration from a number of sources, either current corporate
recognized master data sets or stand alone business data sets.
Our chosen migration path was:
• Data Discovery determining the data to be
migrated – UU / 1Spatial.
• Extract – United Utilities.
• Cleanse – 1Spatial.
• Transform to new data model – Wipro.
• Load to the new solution – Wipro.
• Total number of data sets migrated – 357.
• Total number of features migrated – 49,080,047 (including ALL attribution).
7. Strengthen the Foundations: Data
Improvement
• Three main themes:
• Data Cleansing: correcting spatial and non-spatial errors (e.g. where
pipes/sewers were not connected at nodes due to digitising errors.
• Data Enrichment: completing missing attribution on existing assets;
either by reference to other datasets, by association with other
connected assets, or automatic derivation by domain experience.
• Data Inference: the creation of missing assets using knowledge from
other UU and reference to external authoritative datasets (e.g. OSMM
and AL2).
8. Data Results: Cleanse and Enrichment
Data Cleansing
• Clean water connectivity – improved from 73% to 99%
• Wastewater connectivity – improved from 76% to 93%
Data Enrichment
• Clean water attribution completeness increased from 36% to 93% for key
attributes (material, size, age), using investment prioritisation reference data
in addition to lead risk and, ‘estimate from neighbours’ rules.
• Wastewater attribution completeness improved from 3% to 91% for key
attributes (material, size, age, invert levels and depth), using investment
prioritisation reference data in addition to the ‘estimate from neighbours’
rules.
9. Data Results: Data Inference
• Inferring the route of unknown assets, resulting from historic partial records capture.
• Using United Utilities wastewater subject matter knowledge alongside the 1spatial
team and Radius Studio tools, we managed to build, test, improve and implement a
set of business rules to derive the position of unmapped sewers -
Before After
10. Data Results: Data Inference
• Using our data inference techniques, we created:
– 7,000kms of sewer pipelines (Ex Section 24 sewers)
– 880,000 clean water service connections
• Recognising the benefits of the inferencing techniques, we have since
completed a further project to create a geographic model of our transferred
sewer assets:
– 3 months of iterative workshops to collect and express business domain
knowledge as a set of expert rules.
– Automated transferred sewers inference took 2 days to build the
inferred network for the entire region – creating 31,000km of network.
12. • Industry standard off
the shelf package.
• Tools for network
design, asset
investment
prioritisation &
modelling.
• Stored views for
main map users.
• Data governance
assigned for layers
and local champions
for user support.
Desktop: ESRI ArcMap 10
13. • Improved
submission of
updates (red-
lining)
• Live valve status
changes from field
to centre
• Overnight update
from database and
data on call
replaces quarterly
manual process
Water & Ww Field: Arc GIS Mobile
14. • Easy navigation
and open to all
staff
• Advanced tools
including query,
draw and share
• Aerial photography
and street view
links
• Stored views for
main map users
Web: Latitude Geocortex ‘onemap’
15. • Site Area
account details
can be modified
by customers on
line and queued
for approval and
billing change
External User: Site Area
16. Step 4. Business Change & Delivery
Dedicated business change
work stream from early in the
project. – Key in assuring
solution fitness.
Business lead with joint
responsibility with IT delivery
manager and programme
manager for delivery.
Business readiness group
(BRIG) meetings monthly to
review progress.
Commitment cards provided to
all users to clarify scope and
set expectations
17. Business Change & Delivery
Assignment of Data Stewards and GIS
Champions gave clarity on roles &
responsibilities, and provided processes
for effective data governance & business
improvement.
• Go live support was a particular success
with project team members located with
users during the first week of go-live.
18. Lessons learned and Next Steps
• Version upgrade
• Consolidation of address management
processes and implementation of AddressBase
• Continued development of data and
connectivity to support future requirements
• Understanding the user base; we believed we
had in the region of 500 users of applications to
be decommissioned. Later analysis revealed a
total of 925 users.
Tailor training as closely as possible to
processes, including training of any bespoke
tools for particular departments.
Success is driven by the passion and
involvement of employees, get them involved
early.