Slide Deck to Describe the Features of OCS that I find Important and a Paradigm of Who Wants to be a Millionaire as a way to demonstrate it.. (Thanks to @MissRogue) for the idea...
Slide Deck to Describe the Features of OCS that I find Important and a Paradigm of Who Wants to be a Millionaire as a way to demonstrate it.. (Thanks to @MissRogue) for the idea...
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.
Content1. Introduction2. What is Big Data3. Characte.docxdickonsondorris
Content
1. Introduction
2. What is Big Data
3. Characteristic of Big Data
4. Storing,selecting and processing of Big Data
5. Why Big Data
6. How it is Different
7. Big Data sources
8. Tools used in Big Data
9. Application of Big Data
10. Risks of Big Data
11. Benefits of Big Data
12. How Big Data Impact on IT
13. Future of Big Data
Introduction
• Big Data may well be the Next Big Thing in the IT
world.
• Big data burst upon the scene in the first decade of the
21st century.
• The first organizations to embrace it were online and
startup firms. Firms like Google, eBay, LinkedIn, and
Facebook were built around big data from the
beginning.
• Like many new information technologies, big data can
bring about dramatic cost reductions, substantial
improvements in the time required to perform a
computing task, or new product and service offerings.
• ‘Big Data’ is similar to ‘small data’, but bigger in
size
• but having data bigger it requires different
approaches:
– Techniques, tools and architecture
• an aim to solve new problems or old problems in a
better way
• Big Data generates value from the storage and
processing of very large quantities of digital
information that cannot be analyzed with
traditional computing techniques.
What is BIG DATA?
What is BIG DATA
• Walmart handles more than 1 million customer
transactions every hour.
• Facebook handles 40 billion photos from its user base.
• Decoding the human genome originally took 10years to
process; now it can be achieved in one week.
Three Characteristics of Big Data V3s
Volume
• Data
quantity
Velocity
• Data
Speed
Variety
• Data
Types
1st Character of Big Data
Volume
•A typical PC might have had 10 gigabytes of storage in 2000.
•Today, Facebook ingests 500 terabytes of new data every day.
•Boeing 737 will generate 240 terabytes of flight data during a single
flight across the US.
• The smart phones, the data they create and consume; sensors
embedded into everyday objects will soon result in billions of new,
constantly-updated data feeds containing environmental, location,
and other information, including video.
2nd Character of Big Data
Velocity
• Clickstreams and ad impressions capture user behavior at
millions of events per second
• high-frequency stock trading algorithms reflect market
changes within microseconds
• machine to machine processes exchange data between
billions of devices
• infrastructure and sensors generate massive log data in real-
time
• on-line gaming systems support millions of concurrent
users, each producing multiple inputs per second.
3rd Character of Big Data
Variety
• Big Data isn't just numbers, dates, and strings. Big
Data is also geospatial data, 3D data, audio and
video, and unstructured text, including log files and
social media.
• Traditional database systems were designed to
address smaller volumes of structured data, fewer
updates or a predictable, consistent data stru.
Presented at the Utility Technology Association 2013 Conference in Murfreesboro, TN. Provides an overview of web and mobile development projects at Middle Tennessee Electric Membership Corporation
EDINA webinar delivered 24 October 2012. Introduces the map data and services available in Digimap's Ordnance Survey Collection, a subscription service for UK further education and higher education.
Every day we roughly create 2.5 Quintillion bytes of data; 90% of the worlds collected data has been generated only in the last 2 years. In this slide, learn the all about big data
in a simple and easiest way.
The Use of GIS in Local Government - The City of MonashSteven Truman
The City of Monash as a case study in the use of Geographic Information Systems (GIS) and geographic data in Local government. The city of Monash is located in the south eastern suburbs of Melbourne, Victoria, Australia.
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.
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.
Content1. Introduction2. What is Big Data3. Characte.docxdickonsondorris
Content
1. Introduction
2. What is Big Data
3. Characteristic of Big Data
4. Storing,selecting and processing of Big Data
5. Why Big Data
6. How it is Different
7. Big Data sources
8. Tools used in Big Data
9. Application of Big Data
10. Risks of Big Data
11. Benefits of Big Data
12. How Big Data Impact on IT
13. Future of Big Data
Introduction
• Big Data may well be the Next Big Thing in the IT
world.
• Big data burst upon the scene in the first decade of the
21st century.
• The first organizations to embrace it were online and
startup firms. Firms like Google, eBay, LinkedIn, and
Facebook were built around big data from the
beginning.
• Like many new information technologies, big data can
bring about dramatic cost reductions, substantial
improvements in the time required to perform a
computing task, or new product and service offerings.
• ‘Big Data’ is similar to ‘small data’, but bigger in
size
• but having data bigger it requires different
approaches:
– Techniques, tools and architecture
• an aim to solve new problems or old problems in a
better way
• Big Data generates value from the storage and
processing of very large quantities of digital
information that cannot be analyzed with
traditional computing techniques.
What is BIG DATA?
What is BIG DATA
• Walmart handles more than 1 million customer
transactions every hour.
• Facebook handles 40 billion photos from its user base.
• Decoding the human genome originally took 10years to
process; now it can be achieved in one week.
Three Characteristics of Big Data V3s
Volume
• Data
quantity
Velocity
• Data
Speed
Variety
• Data
Types
1st Character of Big Data
Volume
•A typical PC might have had 10 gigabytes of storage in 2000.
•Today, Facebook ingests 500 terabytes of new data every day.
•Boeing 737 will generate 240 terabytes of flight data during a single
flight across the US.
• The smart phones, the data they create and consume; sensors
embedded into everyday objects will soon result in billions of new,
constantly-updated data feeds containing environmental, location,
and other information, including video.
2nd Character of Big Data
Velocity
• Clickstreams and ad impressions capture user behavior at
millions of events per second
• high-frequency stock trading algorithms reflect market
changes within microseconds
• machine to machine processes exchange data between
billions of devices
• infrastructure and sensors generate massive log data in real-
time
• on-line gaming systems support millions of concurrent
users, each producing multiple inputs per second.
3rd Character of Big Data
Variety
• Big Data isn't just numbers, dates, and strings. Big
Data is also geospatial data, 3D data, audio and
video, and unstructured text, including log files and
social media.
• Traditional database systems were designed to
address smaller volumes of structured data, fewer
updates or a predictable, consistent data stru.
Presented at the Utility Technology Association 2013 Conference in Murfreesboro, TN. Provides an overview of web and mobile development projects at Middle Tennessee Electric Membership Corporation
EDINA webinar delivered 24 October 2012. Introduces the map data and services available in Digimap's Ordnance Survey Collection, a subscription service for UK further education and higher education.
Every day we roughly create 2.5 Quintillion bytes of data; 90% of the worlds collected data has been generated only in the last 2 years. In this slide, learn the all about big data
in a simple and easiest way.
The Use of GIS in Local Government - The City of MonashSteven Truman
The City of Monash as a case study in the use of Geographic Information Systems (GIS) and geographic data in Local government. The city of Monash is located in the south eastern suburbs of Melbourne, Victoria, Australia.
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.
Tim Willoughby - An open approach to data analyticsTim Willoughby
Tim Willoughby, CTO, LGMA - Presentation to iQuest Conference on Data Analytics in Carton House, Kildare. The Presentation focuses on Local Government approaches to Analytics - featuring Local Election Data and Building Control Data.
Data data everywhere and not a byte to eat...Tim Willoughby
Presentation by Tim Willoughby at the Fujitsu Innovation Gathering 2013 conference at Croke Park in Dublin. Paper title - Data Data Everywhere but not a Byte to eat - The big issues are - lots of Data, lots of talk, not many solutions coming up, meet many people with the same issues. Local Government are working on Open Data, Linked Open Data, Semantic Web, Smart Cities, relying on Universities (DERI) for solutions to the bigger issues. A lot of incremental innovation is ongoing.
Empowering citizens and local government with mobile dataTim Willoughby
Presentation to eCitizen II conference in Killarney, Co. Kerry, Ireland. Conference as part of a wider group looking at eCitizen. Presentation is taking a look at the future state of Government through a citizen lens
Presententation to HIS in Local Government House on Open Source Journey so far. Delivery of Mainly Application based Solutions, SugarCRM, Alfresco, Drupal, Open Office, Libre Office and Zarafa
Presentation to Local Government GIS Officers on the Potential for Open Source in GIS. Its a huge one.. grasp it with open arms.. think about standards... standards... standards..
Presentation to group of Local Authority Communications Officers on the Potential for Social Media in Local Government. The Wave is coming, we will be judged on how we react to it..
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
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.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
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).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
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.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
2. It is all about the Data
2010 Spend on Spatial data and Software in the USA - IDC
3. Issues
• Data Harvesting
– How does data get into your system
– Position, accuracy, improvement.
• Data Management
– How do we manage our data
– DO we have to capture data more than once
• Data Layers
– Even County Boundaries aren't sacrosanct
• Geo Register
– Costs
– Opportunity to Create our own?
– Water Metering – GeoCode the Water Meters
4. Data Standards
• Most Adopting Standards from their software
Supplier.
• Need Standards across All Data Areas.
8. FixMyStreet
• Programme for Governemtn
• In local services, we will establish a website –
www.fixmystreet.ie – to assist residents in
reporting problems with street
lighting, drainage, graffiti, waste collection
and road and path maintenance in their
neighbourhoods, with a guarantee that local
officials will respond within two working days.
9. Principles of FixMyStreet
• Digitise everything Once.
• Dynamic Data Capture
• Open data
• Open source
– Reduce the Barriers to Adoption
• Social Media is the Glue
• There can only be one fixmystreets
– One Front End
– More than one Back End?
– Taxonomy – We all call things the same