xRM is the natural evolution of CRM. Businesses are expanding their use of new generation CRM solutions to manage a wider range of scenarios, including asset management, prospect management, citizen management, and many more. Microsoft CRM sits on the .NET platform and because of that, it is much more than a traditional CRM product. Instead, think of Microsoft CRM is as a rapid development application with out of the box CRM functionality. The purpose of this session is to understand Microsoft's CRM strategy and how you get to market first with world class business solutions.
Power BI Overview, Deployment and GovernanceJames Serra
Deploying Power BI in a large enterprise is a complex task, and one that requires a lot of thought and planning. The purpose of this presentation is to help you make your Power BI deployment a success. After a quick Power BI overview, I’ll discuss deployment strategies, common usage scenarios, how to store and refresh data, prototyping options, how to share externally, and then finish with how to administer and secure Power BI. I’ll outline considerations and best practices for achieving an optimal, well-performing, enterprise level Power BI deployment.
Power BI Advanced Data Modeling Virtual WorkshopCCG
Join CCG and Microsoft for a virtual workshop, hosted by Solution Architect, Doug McClurg, to learn how to create professional, frustration-free data models that engage your customers.
Comparison of approaches to security taken by Tableau and Power BI to help make wise choices when planning out enterprise level deployments. View the video recording and download this deck at: https://senturus.com/events/enterprise-security-tableau-vs-power-bi/
Senturus offers a full spectrum of services for business analytics. Our resource library has hundreds of free live and recorded webinars, blog posts, demos and unbiased product reviews available on our website at: http://www.senturus.com/senturus-resources/.
Power BI Governance and Development Best Practices - Presentation at #MSBIFI ...Jouko Nyholm
Selected slides from presentation regarding Power BI Governance and Development Best Practices. Presentation was held at MS BI & Power BI User Group Finland event 12.6.2018 at Microsoft Flux, Helsinki.
Without the animations & hands-on demos the slides do not tell the whole story, but hopefully valuable to some nevertheless.
Power BI Overview, Deployment and GovernanceJames Serra
Deploying Power BI in a large enterprise is a complex task, and one that requires a lot of thought and planning. The purpose of this presentation is to help you make your Power BI deployment a success. After a quick Power BI overview, I’ll discuss deployment strategies, common usage scenarios, how to store and refresh data, prototyping options, how to share externally, and then finish with how to administer and secure Power BI. I’ll outline considerations and best practices for achieving an optimal, well-performing, enterprise level Power BI deployment.
Power BI Advanced Data Modeling Virtual WorkshopCCG
Join CCG and Microsoft for a virtual workshop, hosted by Solution Architect, Doug McClurg, to learn how to create professional, frustration-free data models that engage your customers.
Comparison of approaches to security taken by Tableau and Power BI to help make wise choices when planning out enterprise level deployments. View the video recording and download this deck at: https://senturus.com/events/enterprise-security-tableau-vs-power-bi/
Senturus offers a full spectrum of services for business analytics. Our resource library has hundreds of free live and recorded webinars, blog posts, demos and unbiased product reviews available on our website at: http://www.senturus.com/senturus-resources/.
Power BI Governance and Development Best Practices - Presentation at #MSBIFI ...Jouko Nyholm
Selected slides from presentation regarding Power BI Governance and Development Best Practices. Presentation was held at MS BI & Power BI User Group Finland event 12.6.2018 at Microsoft Flux, Helsinki.
Without the animations & hands-on demos the slides do not tell the whole story, but hopefully valuable to some nevertheless.
The current Microsoft PowerBI governance enabling and recommendations. Including the changes following the November PowerBI release and PASS conference announcements.
Introduction to Microsoft’s Master Data Services (MDS)James Serra
Master Data Services is bundled with SQL Server 2012 to help resolve many of the Master Data Management issues that companies are faced with when integrating data. In this session, James will show an overview of Master Data Services 2012, including the out of the box Web UI, the highly developed Excel Add-in, and how to get started with loading MDS with your data.
With the new Power BI Preview Microsoft brings more Self-service BI functionality to the users. In this session we will look from a different perspective to the offering: What about Governance, Application LifeCycle, Enterprise Integration? We will review what is currently possible in the preview for sharong querys, integrating the cloud offering with your enterprise data sources, monitoring datasources and gateways and what is possible to use it on Windows Mobile devices.
Enabling Data as a Service with the JBoss Enterprise Data Services Platformprajods
This presentation was given at JUDCon 2013, Jan 17,18 at Bangalore. Presented by Prajod Vettiyattil and Gnanaguru Sattanathan. The presentation deals with the Why, What and How of Data Services and Data Services Platforms. It also explains the features of the JBoss Enterprise Data Services Platform.
The need for Data Services is explained with 3 Business use cases:
1. Post purchase customer experience improvement for an Auto manufacturer
2. Enterprise Data Access Layer
3. Data Services for Regulatory Reporting requirements like Dodd Frank
Power BI for Big Data and the New Look of Big Data SolutionsJames Serra
New features in Power BI give it enterprise tools, but that does not mean it automatically creates an enterprise solution. In this talk we will cover these new features (composite models, aggregations tables, dataflow) as well as Azure Data Lake Store Gen2, and describe the use cases and products of an individual, departmental, and enterprise big data solution. We will also talk about why a data warehouse and cubes still should be part of an enterprise solution, and how a data lake should be organized.
Power BI has in its DNA the goal of enabling everybody to experience their data any way, anywhere—in seconds and at global scale.
Power BI offers a set of capabilities that are uniquely enabled by its global and cloud nature:
The ability to harness data from Excel spreadsheets, on-premises data sources through the data gateway, big data, streaming data, and cloud services. It doesn’t matter what type of data you want or where it lives, Power BI allows you to connect to hundreds of data sources.
Out-of-the box SaaS content packs that deliver a curated experience with pre-built dashboards to get you up and running quickly. We have hundreds of ISVs building content packs to cater to the needs of millions of Power BI users.
Unmatched, unique ways for users to experience their data with speed and agility:
Live dashboards that maintain a real-time pulse on the business and provide critical insights.
Natural language query that enables users to simply and intuitively ask questions of their data, including through Cortana.
Custom visuals that bring data to life and surface intelligence hidden in the sea of data, with our community leveraging the Power BI visualization stack to create new ways to visualize data in a way that makes more sense. (Now available in the Office store.)
Integration of Power BI with the Microsoft stack. Power BI is part of larger ecosystem that integrates with services like Microsoft Teams, Office 365, and Dynamics 365. These services are aware of Power BI, are wired to Power BI, and enable you to use Power BI in the context of your work.
Anywhere access to insights. Whether in the office or on-the-go, Power BI provides anywhere access to insights with dashboards accessible via the desktop, on the web, or across mobile devices. Inside Excel, embedded—we have hundreds of ISVs embedding Power BI in their offerings.
Creating a Next-Generation Big Data ArchitecturePerficient, Inc.
If you’ve spent time investigating Big Data, you quickly realize that the issues surrounding Big Data are often complex to analyze and solve. The sheer volume, velocity and variety changes the way we think about data – including how enterprises approach data architecture.
Significant reduction in costs for processing, managing, and storing data, combined with the need for business agility and analytics, requires CIOs and enterprise architects to rethink their enterprise data architecture and develop a next-generation approach to solve the complexities of Big Data.
Creating the data architecture while integrating Big Data into the heart of the enterprise data architecture is a challenge. This webinar covered:
-Why Big Data capabilities must be strategically integrated into an enterprise’s data architecture
-How a next-generation architecture can be conceptualized
-The key components to a robust next generation architecture
-How to incrementally transition to a next generation data architecture
The data lake has become extremely popular, but there is still confusion on how it should be used. In this presentation I will cover common big data architectures that use the data lake, the characteristics and benefits of a data lake, and how it works in conjunction with a relational data warehouse. Then I’ll go into details on using Azure Data Lake Store Gen2 as your data lake, and various typical use cases of the data lake. As a bonus I’ll talk about how to organize a data lake and discuss the various products that can be used in a modern data warehouse.
The January call will focus on introducing the concepts of open development, software lifecycle and upcoming open projects. We have a number of projects on the roadmap and would like to give the community an opportunity to help prioritize the list.
We'll discuss the upcoming GT.M Integration project to more tightly couple OpenVista and GT.M. You can read the proposals and discuss this project at Medsphere.org, see the project homepage here: http://medsphere.org/community/roadmap/gtm
Please feel free to invite any colleagues that might find this topic relevant or interesting.
When: January 15, 12:30 - 2pm Pacific
Where: Dial-in: (888) 346-3950 // Participant Code: 1302465
Web conference: http://www.medsphere.com/infinite/
What: Open Development
- Ecosystems at work
- Open Development Introduction
- Community Project Overview
- GT.M Project Introduction
- Project Review
- Medsphere.org: Tip of the Month
===
The community calls are listed on the Medsphere.org event calendar (http://medsphere.org/community-events/) and we will update each month's call as the agenda is solidified.
Details and Recording available here: http://medsphere.org/blogs/events/2009/01/15/community-call-january-2009
This white paper will present the opportunities laid down by
data lake and advanced analytics, as well as, the challenges
in integrating, mining and analyzing the data collected from
these sources. It goes over the important characteristics of
the data lake architecture and Data and Analytics as a
Service (DAaaS) model. It also delves into the features of a
successful data lake and its optimal designing. It goes over
data, applications, and analytics that are strung together to
speed-up the insight brewing process for industry’s
improvements with the help of a powerful architecture for
mining and analyzing unstructured data – data lake.
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.
This is Part 4 of the GoldenGate series on Data Mesh - a series of webinars helping customers understand how to move off of old-fashioned monolithic data integration architecture and get ready for more agile, cost-effective, event-driven solutions. The Data Mesh is a kind of Data Fabric that emphasizes business-led data products running on event-driven streaming architectures, serverless, and microservices based platforms. These emerging solutions are essential for enterprises that run data-driven services on multi-cloud, multi-vendor ecosystems.
Join this session to get a fresh look at Data Mesh; we'll start with core architecture principles (vendor agnostic) and transition into detailed examples of how Oracle's GoldenGate platform is providing capabilities today. We will discuss essential technical characteristics of a Data Mesh solution, and the benefits that business owners can expect by moving IT in this direction. For more background on Data Mesh, Part 1, 2, and 3 are on the GoldenGate YouTube channel: https://www.youtube.com/playlist?list=PLbqmhpwYrlZJ-583p3KQGDAd6038i1ywe
Webinar Speaker: Jeff Pollock, VP Product (https://www.linkedin.com/in/jtpollock/)
Mr. Pollock is an expert technology leader for data platforms, big data, data integration and governance. Jeff has been CTO at California startups and a senior exec at Fortune 100 tech vendors. He is currently Oracle VP of Products and Cloud Services for Data Replication, Streaming Data and Database Migrations. While at IBM, he was head of all Information Integration, Replication and Governance products, and previously Jeff was an independent architect for US Defense Department, VP of Technology at Cerebra and CTO of Modulant – he has been engineering artificial intelligence based data platforms since 2001. As a business consultant, Mr. Pollock was a Head Architect at Ernst & Young’s Center for Technology Enablement. Jeff is also the author of “Semantic Web for Dummies” and "Adaptive Information,” a frequent keynote at industry conferences, author for books and industry journals, formerly a contributing member of W3C and OASIS, and an engineering instructor with UC Berkeley’s Extension for object-oriented systems, software development process and enterprise architecture.
Fast and Furious: From POC to an Enterprise Big Data Stack in 2014MapR Technologies
View this webinar presentation as CenturyLink Technology Solutions (Formerly Savvis) and MapR as we deconstruct and demystify “the enterprise big data stack.” We provide you with a more holistic view of the landscape, explore use cases to show how you can derive business value from it, and share best practices for navigating through the fragmented big data environment.
Big Data, IoT, data lake, unstructured data, Hadoop, cloud, and massively parallel processing (MPP) are all just fancy words unless you can find uses cases for all this technology. Join me as I talk about the many use cases I have seen, from streaming data to advanced analytics, broken down by industry. I’ll show you how all this technology fits together by discussing various architectures and the most common approaches to solving data problems and hopefully set off light bulbs in your head on how big data can help your organization make better business decisions.
Developing business applications via power platform build2019Dipti Chhatrapati
Microsoft Power Platform is empowering millions of people to achieve more and work smart.Join my session to know how to build business applications via Microsoft Power Platform with no-code solution.This session also includes the explanation on possible integration between different services and platform to automate business flow.
The current Microsoft PowerBI governance enabling and recommendations. Including the changes following the November PowerBI release and PASS conference announcements.
Introduction to Microsoft’s Master Data Services (MDS)James Serra
Master Data Services is bundled with SQL Server 2012 to help resolve many of the Master Data Management issues that companies are faced with when integrating data. In this session, James will show an overview of Master Data Services 2012, including the out of the box Web UI, the highly developed Excel Add-in, and how to get started with loading MDS with your data.
With the new Power BI Preview Microsoft brings more Self-service BI functionality to the users. In this session we will look from a different perspective to the offering: What about Governance, Application LifeCycle, Enterprise Integration? We will review what is currently possible in the preview for sharong querys, integrating the cloud offering with your enterprise data sources, monitoring datasources and gateways and what is possible to use it on Windows Mobile devices.
Enabling Data as a Service with the JBoss Enterprise Data Services Platformprajods
This presentation was given at JUDCon 2013, Jan 17,18 at Bangalore. Presented by Prajod Vettiyattil and Gnanaguru Sattanathan. The presentation deals with the Why, What and How of Data Services and Data Services Platforms. It also explains the features of the JBoss Enterprise Data Services Platform.
The need for Data Services is explained with 3 Business use cases:
1. Post purchase customer experience improvement for an Auto manufacturer
2. Enterprise Data Access Layer
3. Data Services for Regulatory Reporting requirements like Dodd Frank
Power BI for Big Data and the New Look of Big Data SolutionsJames Serra
New features in Power BI give it enterprise tools, but that does not mean it automatically creates an enterprise solution. In this talk we will cover these new features (composite models, aggregations tables, dataflow) as well as Azure Data Lake Store Gen2, and describe the use cases and products of an individual, departmental, and enterprise big data solution. We will also talk about why a data warehouse and cubes still should be part of an enterprise solution, and how a data lake should be organized.
Power BI has in its DNA the goal of enabling everybody to experience their data any way, anywhere—in seconds and at global scale.
Power BI offers a set of capabilities that are uniquely enabled by its global and cloud nature:
The ability to harness data from Excel spreadsheets, on-premises data sources through the data gateway, big data, streaming data, and cloud services. It doesn’t matter what type of data you want or where it lives, Power BI allows you to connect to hundreds of data sources.
Out-of-the box SaaS content packs that deliver a curated experience with pre-built dashboards to get you up and running quickly. We have hundreds of ISVs building content packs to cater to the needs of millions of Power BI users.
Unmatched, unique ways for users to experience their data with speed and agility:
Live dashboards that maintain a real-time pulse on the business and provide critical insights.
Natural language query that enables users to simply and intuitively ask questions of their data, including through Cortana.
Custom visuals that bring data to life and surface intelligence hidden in the sea of data, with our community leveraging the Power BI visualization stack to create new ways to visualize data in a way that makes more sense. (Now available in the Office store.)
Integration of Power BI with the Microsoft stack. Power BI is part of larger ecosystem that integrates with services like Microsoft Teams, Office 365, and Dynamics 365. These services are aware of Power BI, are wired to Power BI, and enable you to use Power BI in the context of your work.
Anywhere access to insights. Whether in the office or on-the-go, Power BI provides anywhere access to insights with dashboards accessible via the desktop, on the web, or across mobile devices. Inside Excel, embedded—we have hundreds of ISVs embedding Power BI in their offerings.
Creating a Next-Generation Big Data ArchitecturePerficient, Inc.
If you’ve spent time investigating Big Data, you quickly realize that the issues surrounding Big Data are often complex to analyze and solve. The sheer volume, velocity and variety changes the way we think about data – including how enterprises approach data architecture.
Significant reduction in costs for processing, managing, and storing data, combined with the need for business agility and analytics, requires CIOs and enterprise architects to rethink their enterprise data architecture and develop a next-generation approach to solve the complexities of Big Data.
Creating the data architecture while integrating Big Data into the heart of the enterprise data architecture is a challenge. This webinar covered:
-Why Big Data capabilities must be strategically integrated into an enterprise’s data architecture
-How a next-generation architecture can be conceptualized
-The key components to a robust next generation architecture
-How to incrementally transition to a next generation data architecture
The data lake has become extremely popular, but there is still confusion on how it should be used. In this presentation I will cover common big data architectures that use the data lake, the characteristics and benefits of a data lake, and how it works in conjunction with a relational data warehouse. Then I’ll go into details on using Azure Data Lake Store Gen2 as your data lake, and various typical use cases of the data lake. As a bonus I’ll talk about how to organize a data lake and discuss the various products that can be used in a modern data warehouse.
The January call will focus on introducing the concepts of open development, software lifecycle and upcoming open projects. We have a number of projects on the roadmap and would like to give the community an opportunity to help prioritize the list.
We'll discuss the upcoming GT.M Integration project to more tightly couple OpenVista and GT.M. You can read the proposals and discuss this project at Medsphere.org, see the project homepage here: http://medsphere.org/community/roadmap/gtm
Please feel free to invite any colleagues that might find this topic relevant or interesting.
When: January 15, 12:30 - 2pm Pacific
Where: Dial-in: (888) 346-3950 // Participant Code: 1302465
Web conference: http://www.medsphere.com/infinite/
What: Open Development
- Ecosystems at work
- Open Development Introduction
- Community Project Overview
- GT.M Project Introduction
- Project Review
- Medsphere.org: Tip of the Month
===
The community calls are listed on the Medsphere.org event calendar (http://medsphere.org/community-events/) and we will update each month's call as the agenda is solidified.
Details and Recording available here: http://medsphere.org/blogs/events/2009/01/15/community-call-january-2009
This white paper will present the opportunities laid down by
data lake and advanced analytics, as well as, the challenges
in integrating, mining and analyzing the data collected from
these sources. It goes over the important characteristics of
the data lake architecture and Data and Analytics as a
Service (DAaaS) model. It also delves into the features of a
successful data lake and its optimal designing. It goes over
data, applications, and analytics that are strung together to
speed-up the insight brewing process for industry’s
improvements with the help of a powerful architecture for
mining and analyzing unstructured data – data lake.
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.
This is Part 4 of the GoldenGate series on Data Mesh - a series of webinars helping customers understand how to move off of old-fashioned monolithic data integration architecture and get ready for more agile, cost-effective, event-driven solutions. The Data Mesh is a kind of Data Fabric that emphasizes business-led data products running on event-driven streaming architectures, serverless, and microservices based platforms. These emerging solutions are essential for enterprises that run data-driven services on multi-cloud, multi-vendor ecosystems.
Join this session to get a fresh look at Data Mesh; we'll start with core architecture principles (vendor agnostic) and transition into detailed examples of how Oracle's GoldenGate platform is providing capabilities today. We will discuss essential technical characteristics of a Data Mesh solution, and the benefits that business owners can expect by moving IT in this direction. For more background on Data Mesh, Part 1, 2, and 3 are on the GoldenGate YouTube channel: https://www.youtube.com/playlist?list=PLbqmhpwYrlZJ-583p3KQGDAd6038i1ywe
Webinar Speaker: Jeff Pollock, VP Product (https://www.linkedin.com/in/jtpollock/)
Mr. Pollock is an expert technology leader for data platforms, big data, data integration and governance. Jeff has been CTO at California startups and a senior exec at Fortune 100 tech vendors. He is currently Oracle VP of Products and Cloud Services for Data Replication, Streaming Data and Database Migrations. While at IBM, he was head of all Information Integration, Replication and Governance products, and previously Jeff was an independent architect for US Defense Department, VP of Technology at Cerebra and CTO of Modulant – he has been engineering artificial intelligence based data platforms since 2001. As a business consultant, Mr. Pollock was a Head Architect at Ernst & Young’s Center for Technology Enablement. Jeff is also the author of “Semantic Web for Dummies” and "Adaptive Information,” a frequent keynote at industry conferences, author for books and industry journals, formerly a contributing member of W3C and OASIS, and an engineering instructor with UC Berkeley’s Extension for object-oriented systems, software development process and enterprise architecture.
Fast and Furious: From POC to an Enterprise Big Data Stack in 2014MapR Technologies
View this webinar presentation as CenturyLink Technology Solutions (Formerly Savvis) and MapR as we deconstruct and demystify “the enterprise big data stack.” We provide you with a more holistic view of the landscape, explore use cases to show how you can derive business value from it, and share best practices for navigating through the fragmented big data environment.
Big Data, IoT, data lake, unstructured data, Hadoop, cloud, and massively parallel processing (MPP) are all just fancy words unless you can find uses cases for all this technology. Join me as I talk about the many use cases I have seen, from streaming data to advanced analytics, broken down by industry. I’ll show you how all this technology fits together by discussing various architectures and the most common approaches to solving data problems and hopefully set off light bulbs in your head on how big data can help your organization make better business decisions.
Developing business applications via power platform build2019Dipti Chhatrapati
Microsoft Power Platform is empowering millions of people to achieve more and work smart.Join my session to know how to build business applications via Microsoft Power Platform with no-code solution.This session also includes the explanation on possible integration between different services and platform to automate business flow.
My presentation for our Benelux IBM Rational Innovate event. This presentation explains how the IBM Bluemix and devops as a service solution can be used for modern cloud based development.
App modernization projects are hard. Enterprises are looking to cloud-native platforms like Pivotal Cloud Foundry to run their applications, but they’re worried about the risks inherent to any replatforming effort.
Fortunately, several repeatable patterns of successful incremental migration have emerged.
In this webcast, Google Cloud’s Prithpal Bhogill and Pivotal’s Shaun Anderson will discuss best practices for app modernization and securely and seamlessly routing traffic between legacy stacks and Pivotal Cloud Foundry.
IBM's DevOps solution for CLM includes a full lifecycle suite of products for managing continuous business planning, Agile project management, continuous build, source code management, test management, and continuous application monitoring.
Mindtree leverages its performance engineering services to develop software products and applications that perform optimally in normal as well as extreme load conditions. This reduces the number of failures related to performance and availability. We offer performance engineering services across a wide range of verticals and applications based on client server, Web technologies, Web services and ERP.
This is an overview of Enterprise RIA centric Adobe LiveCycle news from Adobe MAX 2009. I presented this deck at the AfterMAX MeetUp in San Jose (10/22/09)
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
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.
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.
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.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
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
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
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.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Knowledge engineering: from people to machines and back
xRM - as an Evolution of CRM
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2. xRM as an Evolution of CRM Catherine Eibner Microsoft Australia, Developer Platform Group ceibner@microsoft.com http://blogs.msdn.com/ceibner , www.twitter.com/ceibner
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4. Key Success DriversHow do you define success? 4 “Products and services can be copied. Our business processes and our business models are our differentiators.” CEO – Global Enterprise 66% of CEOs believe their organizations need to introduce fundamental/ radical changes in the next 2 years Rapid Innovation is a Key Mandate Business process innovation as key competitive advantage Business productivity innovation is needed now more than ever Flexibility to rapidly implement global innovation is a key enabler
5. Key IT ChallengesChallenges with delivering sustainable business value 5 Too much time and money is required to efficiently develop, deploy and maintain custom applications Identifying the right application is costly. Maintaining applications from multiple vendors is cumbersome Deliver and Demonstrate Business Value Difficult to deliver business ROI and differentiators Limited budget and resources Too many issues with buying and building apps Not equipped to rapidly respond to business change
6. Usabilitythrough Microsoft Office/Outlook Flexibility through Dynamic Application Services Choice through various delivery and usage options Productivity through point & click and Microsoft Fits people, business, environment and budget Enterprise-class scalability, availability and performance XRM Delivers BenefitsXRM provides both innovation and operational benefits
7. xRM Architecture OverviewDeclarative Application Services User Experience Services Custom User Features Mobile/ Portal/Custom Microsoft Office/ Outlook Online/ Offline Integration Services Extensibility Services Business Logic Services Granular role-based Security Business Process Modeling Windows Workflow Foundation Metadata Services Visual Studio .NET Assemblies Enterprise Mash-ups/ Composite Applications Application Definition Portable Application Model Release & Upgrade Mgmt Embedded User Interfaces/ IFrames Client-side Jscript ASP.NET Custom Forms Database Services Declarative Data Modeling Referential integrity / relationship Dynamic Ripple Effect Business Logic/ Process Orchestration Custom Workflow Actions Data & Metadata APIs Event Framework/ Dynamic Code Plug-ins Analytical Services Dashboards KPIs Reporting/ OLAP Data Mining/ Predictive Prebuilt Connectors Server SDK Offline SDK Service-Oriented Architecture Developer Tools Platform Management Tools Multi-tenancy Multi-lingual Multi-currency Enterprise-class scalability & performance
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11. XRM Conceptual ArchitectureDesigned for flexibility and extensibility Cloud Server Standard UI (Outlook, Web, Mobile) Custom UI & Mash-Ups (ASP.NET, SharePoint, Silverlight/WPF) Integrated Applications Reporting (Excel & SRS) Web Services Custom Synchronous Actions (.NET Assemblies) Custom Asynchronous Actions (.NET Assemblies) Synchronous Business Logic Business Entity Components Role-Based Security Workflow Data Access Components Data Access Platform Multi-tenant Controller Metadata Data 9
12. Extensible UI (XML Config File) Integrated Applications Reporting (Excel and SRS) Form Events (JavaScript) Plug-Ins (Pre) (.NET Assemblies) Plug-Ins (Post) (.NET Assemblies) Custom Actions (.NET Assemblies) Presentation Layer Forms Design, Client-Side Scripting and Custom UI Development Platform Layer Data Model Customization, IntegrationWorkflow, Custom Platform Development Web Services Synchronous and Asynchronous Business Logic Business Entity Components Security Workflow Data Access Components Data Access Platform Data Service Layer Custom Reporting, Custom Analysis Filtered SQL Views Metadata Data xRM Architecture
13. System Components Overview Outlook client Web client Mobile client Outlookofflineclient NLB Web Services Integration IIS Application Server
14. Employment Portal Users want to coordinate an automated recruiting system for applicants to apply for available positions. Applicants want to create accounts and apply for positions of interest.
66. Event PipelineSupports both online and offline customizations Plug-ins are an example of how to developers can focus on building strategic business functionality, re-use it across many XRM applications in both online and offline mode and it is all upgradeable. Allows for sophisticated business logic to be embedded in platform Assemblies run within core event pipeline Plug-Ins can execute both online and offline for consistent use Dynamic plug-in registration 19
67. Extensibility SpectrumExtend each XRM application to fit your unique needs Examples of what you can build Custom ASPX Pages Feature Plug-ins Application extensions Server-side validation and rule enforcement External Web Services Workflow Assemblies 20
68. Mobile Devices Silverlight / WPF Custom Web Portal Composite UI/Mashups Microsoft Office Word SharePoint Extensible User ExperiencesExtend the UI to the environment that best fit your people 21
82. Architecture Services цззййз Organization-wide Example: ACME, Inc Corporate Divisions Example: ACME European Operations Work Teams Example: ACME Account Team Work Departments Example: ACME Procurement
91. Scalability and Availability Round trip and packet size optimization for low bandwidth Stateless message-based connection Allow for failure during transaction Serviced by large web farms NLB Application Tier scale out Leverages standard IIS technologies with NLB Code optimized for scale out deployment Server Roles for workload optimization CRM Application Server Web Farm Support for standard SQL Server failover via clustering or mirroring Support for Log shipping Index Tuning Wizard supported SQL Server Cluster or Mirror
92. Performance and Scalability Performance and Scalability Components Service grid architecture Deployment choice WAN performance optimization Load balance clustering Scale flexibly and efficiently across local or global Enterprise deployments Web farm clustering Exchange clustering SQL Server clustering SQL mirroring Microsoft advantage Leverage optimization throughout the .NET, Windows, SQL, and Exchange platform Configure to meet user experience, bandwidth and hardware requirements across wide area networks Scale flexibly up and out across application and data tiers
93. xRM Benchmarks to 50K Concurrent Users 50,000 users running on one tenant; multi-tenant infrastructure and SQL Server 2008 drives higher loads $35K server hardware; 80% less than Oracle Siebel latest benchmark Average 0.12 second response time across 2.4M web requests / hour Up to 30% less power consumed with Intel Xeon (Nehalem) processor architecture
Editor's Notes
The pressures to achieve profitable growth has introduced a new mandate, the need to innovateBeyond product or service innovation, more CEOs are looking to business process innovationas a key competitive advantage. Innovation is driven through collaboration to solicit ideas (internal and external)The flexibilityto rapidly implement innovation is the key enabler
The pressures to achieve profitable growth has introduced a new mandate, the need to innovateBeyond product or service innovation, more CEOs are looking to business process innovationas a key competitive advantage. Innovation is driven through collaboration to solicit ideas (internal and external)The flexibilityto rapidly implement innovation is the key enabler
Common User Features include:Outlook Synchronization (accounts, contacts, tasks, appointments)Scheduling/Resource ManagementQueue ManagementList ManagementTask & Activity ManagementPresence Management (integration with Communicator)Knowledge BaseSearch, Advanced Find, Sophisticated Query, Personal/Team/Org FiltersWorkflow Wizard (Personal/Team/Org Workflow)Reporting WizardOutbound Communications (bulk email, mail merge)Data management (import, mapping, deduplication)Interaction managementRipple Effect - “Create New Field” New field is dynamically made available to:Forms Designer (UI)Client-side JscriptWorkflow Engine (triggers, data…) Advanced Find & QueryAnalyticsWizards (Workflow/Reporting)Offline SynchronizationWeb-Services (Data/Metadata API)Mail MergeData Import, Mapping & Deduplication
CRM 4.0’s Plug-In architecture now allows Developers to run Assemblies within the core event pipeline.A Plug-In is a .NET Runtime 2.0 (Framework 3.0/3.5) Assembly which inherits from a Plug-In class.Maybe be written in any .NET language.Plug-Ins allow a Developer to embed very sophisticated business logic in XRMPlug-Ins can be configured to execute while Offline.
Custom ASPX Pages Can create custom ASPX pages, not forced into the rigid XRM form. For instance a custom time entry page (see Demo)Customer Portals – Server Validation When you need to validate information on a form before it’s submitted Example: validating a Title fieldApplication Integration Website that automatically creates XRM entities, for instance external customers that can open cases (XRM cases) Automatic provisioning of SharePoint sites when creating entities, for instance after a Case is created, document sharing with customer Integrate data with external web services, for instance Stock QuotesApplication Extensions Callouts and Workflow assemblies give flexibility to extend the base XRM functionality