At the CodeTalks conference 2017 in Hamburg, LeanIX presented their lessons learned for GraphQL, a new alternative for building REST APIs which was introduced by Facebook.
Empowering Real Time Patient Care Through Spark StreamingDatabricks
Takeda’s Plasma Derived Therapies (PDT) business unit has recently embarked on a project to use Spark Streaming on Databricks to empower how they deliver value to their Plasma Donation centers. As patients come in and interface without clinics, we store and track all of the patient interactions in real time and deliver outputs and results based on said interactions. The current problem with our existing architecture is that it is very expensive to maintain and has an unsustainable number of failure points. Spark Streaming is essential for allowing this use case because it allows for a more robust ETL pipeline. With Spark Streaming, we are able to replace our existing ETL processes (that are based on Lamdbas, step functions, triggered jobs, etc) into a purely stream driven architecture.
Data is brought into our s3 raw layer as a large set of CSV files through AWS DMS and Informatica IICS as these services bring data from on-prem systems into our cloud layer. We have a stream currently running which takes these raw files up and merges them into Delta tables established in the bronze/stage layer. We are using AWS Glue as the metadata provider for all of these operations. From the stage layer, we have another set of streams using the stage Delta tables as their source, which transform and conduct stream to stream lookups before writing the enriched records into RDS (silver/prod layer). Once the data has been merged into RDS we have a DMS task which lifts the data back into S3 as CSV files. We have a small intermediary stream which merge these CSV files into corresponding delta tables, from which we have our gold/analytic streams. The on-prem systems are able to speak to the silver layer and allow for the near real-time latency that our patient care centers require.
User group presentation that was delivered 13/01/2022 for the Power BI and Excel User group in Baku. Introduction to Power Automate and working with Power BI and Power Automate
At the CodeTalks conference 2017 in Hamburg, LeanIX presented their lessons learned for GraphQL, a new alternative for building REST APIs which was introduced by Facebook.
Empowering Real Time Patient Care Through Spark StreamingDatabricks
Takeda’s Plasma Derived Therapies (PDT) business unit has recently embarked on a project to use Spark Streaming on Databricks to empower how they deliver value to their Plasma Donation centers. As patients come in and interface without clinics, we store and track all of the patient interactions in real time and deliver outputs and results based on said interactions. The current problem with our existing architecture is that it is very expensive to maintain and has an unsustainable number of failure points. Spark Streaming is essential for allowing this use case because it allows for a more robust ETL pipeline. With Spark Streaming, we are able to replace our existing ETL processes (that are based on Lamdbas, step functions, triggered jobs, etc) into a purely stream driven architecture.
Data is brought into our s3 raw layer as a large set of CSV files through AWS DMS and Informatica IICS as these services bring data from on-prem systems into our cloud layer. We have a stream currently running which takes these raw files up and merges them into Delta tables established in the bronze/stage layer. We are using AWS Glue as the metadata provider for all of these operations. From the stage layer, we have another set of streams using the stage Delta tables as their source, which transform and conduct stream to stream lookups before writing the enriched records into RDS (silver/prod layer). Once the data has been merged into RDS we have a DMS task which lifts the data back into S3 as CSV files. We have a small intermediary stream which merge these CSV files into corresponding delta tables, from which we have our gold/analytic streams. The on-prem systems are able to speak to the silver layer and allow for the near real-time latency that our patient care centers require.
User group presentation that was delivered 13/01/2022 for the Power BI and Excel User group in Baku. Introduction to Power Automate and working with Power BI and Power Automate
Survey Add-on in LeanIX Enterprise Architecture ManagementLeanIX GmbH
Discover the LeanIX Survey Add-on that can help you to radically improve the data quality of your EA repository with regular surveys as well as ad hoc queries. Use cases include Application Portfolio Assessment, Data Redundancy Analysis, IT License & Cost Transparency, IT Security Audits and Project Portfolio Reviews.
===
LeanIX offers an innovative software-as-a-service solution for Enterprise Architecture Management (EAM), based either in a public cloud or the client’s data center.
Companies like Adidas, Axel Springer, Helvetia, RWE, Trusted Shops and Zalando use LeanIX Enterprise Architecture Management tool.
Free Trial: http://bit.ly/LeanIXFreeTrial
LoQutus: (Technical) Using LeanIX to fully exploit your Enterprise Architectu...LoQutus
LoQutus: (Technical) Using LeanIX to fully exploit your Enterprise Architecture information within your organisation: Reporting & integration capabilities with GraphQL.
Load data from xml to Snowflake in minutessyed_javed
Modern data solution like Lyftron eliminate the time spent by engineers building Snowflake data pipelines manually– and make data instantly accessible to analysts by providing real-time access to all your data with simple ANSI SQL.
Watch this recorded demonstration of SnapLogic from our team of experts who answer your hybrid cloud and big data integration questions.
demo, ipaas, elastic integration, cloud data, app integration, data integration, hybrid could integration
Effective AIOps with Open Source Software in a WeekDatabricks
Classic event, incident, problem and change management are ITSM practices that are getting integrated with DevOps/SRE and ML through a competency known as AIOps. Large streams of data generated through logs, metrics and traces are organized and computed using machine learning algorithms to extract insights on the anomalies of system behavior that could be impacting end-users and business transactions. Businesses cannot afford to see their end-users impacted by those anomalies and therefore would want to proactively predict the likelihood of systems regressing and take corrective action long before any material impact.
In this talk, we show the use of simple linear regression and multivariate linear regression techniques to predict the likelihood of system behavior resulting in one or two sigma of standard deviation. We show how to use FOSS tools to predict them using various decision trees that are integrated to high performing streaming platforms like Apache Flink, Apache Beam, Prometheus and Grafana which makes it a lot easier to visualize the various alerts and triage their way back to performing root cause analysis. These high performing systems are also backed by KAFKA for its streaming and distributed computing capabilities by partitioning the data for various staged analysis some of which can be done in parallel and concurrently based on the use cases. We present a fully integrated architecture that helps you realize a commercial AIOps capability without having to license expensive software products. The above open architecture allows you to implement various ML algorithms as needed and its agnostic to programming languages and tools.
The talk will combine various techniques with demos and is focused to practicing engineers and developers who are familiar with ML.
5 Ways to Make Waves with Informatica and Salesforce AnalyticsInformatica Cloud
Every business has data, but only a few are treating it as a strategic asset for actionable insights. Many struggle with locating and aggregating data, while others wrestle with visualizing and interpreting the data. Join Anwesa Chatterjee and Ron Lunasin for an interactive and demo-focused session on how to leverage the latest technologies in the cloud analytics market to make every-line of business data-driven. You’ll see how companies from different industries are using the Informatica Cloud to make waves across their companies by connecting, aggregating and relating data from different sources. You’ll also discover how to achieve amazing insights with the Salesforce Analytics Cloud. Finally you’ll learn the 5 top tips that ensure that your data will always be clean, connected and contextual with Wave Analytics and Informatica.
Webinar: Introducing the SnapLogic Elastic Integration Platform Summer 2014 R...SnapLogic
In this webinar, we talk about our Summer 2014 release and how our single integration platform as a service (iPaaS) allows you to connect your big data sources, cloud and legacy applications and enterprise APIs. We also discuss our newest features including new and updated Snaps, a Snap-building community for Java developers and SAML 2.0 single sign on user authentication.
To learn more, visit: http://www.snaplogic.com/summer2014
Survey Add-on in LeanIX Enterprise Architecture ManagementLeanIX GmbH
Discover the LeanIX Survey Add-on that can help you to radically improve the data quality of your EA repository with regular surveys as well as ad hoc queries. Use cases include Application Portfolio Assessment, Data Redundancy Analysis, IT License & Cost Transparency, IT Security Audits and Project Portfolio Reviews.
===
LeanIX offers an innovative software-as-a-service solution for Enterprise Architecture Management (EAM), based either in a public cloud or the client’s data center.
Companies like Adidas, Axel Springer, Helvetia, RWE, Trusted Shops and Zalando use LeanIX Enterprise Architecture Management tool.
Free Trial: http://bit.ly/LeanIXFreeTrial
LoQutus: (Technical) Using LeanIX to fully exploit your Enterprise Architectu...LoQutus
LoQutus: (Technical) Using LeanIX to fully exploit your Enterprise Architecture information within your organisation: Reporting & integration capabilities with GraphQL.
Load data from xml to Snowflake in minutessyed_javed
Modern data solution like Lyftron eliminate the time spent by engineers building Snowflake data pipelines manually– and make data instantly accessible to analysts by providing real-time access to all your data with simple ANSI SQL.
Watch this recorded demonstration of SnapLogic from our team of experts who answer your hybrid cloud and big data integration questions.
demo, ipaas, elastic integration, cloud data, app integration, data integration, hybrid could integration
Effective AIOps with Open Source Software in a WeekDatabricks
Classic event, incident, problem and change management are ITSM practices that are getting integrated with DevOps/SRE and ML through a competency known as AIOps. Large streams of data generated through logs, metrics and traces are organized and computed using machine learning algorithms to extract insights on the anomalies of system behavior that could be impacting end-users and business transactions. Businesses cannot afford to see their end-users impacted by those anomalies and therefore would want to proactively predict the likelihood of systems regressing and take corrective action long before any material impact.
In this talk, we show the use of simple linear regression and multivariate linear regression techniques to predict the likelihood of system behavior resulting in one or two sigma of standard deviation. We show how to use FOSS tools to predict them using various decision trees that are integrated to high performing streaming platforms like Apache Flink, Apache Beam, Prometheus and Grafana which makes it a lot easier to visualize the various alerts and triage their way back to performing root cause analysis. These high performing systems are also backed by KAFKA for its streaming and distributed computing capabilities by partitioning the data for various staged analysis some of which can be done in parallel and concurrently based on the use cases. We present a fully integrated architecture that helps you realize a commercial AIOps capability without having to license expensive software products. The above open architecture allows you to implement various ML algorithms as needed and its agnostic to programming languages and tools.
The talk will combine various techniques with demos and is focused to practicing engineers and developers who are familiar with ML.
5 Ways to Make Waves with Informatica and Salesforce AnalyticsInformatica Cloud
Every business has data, but only a few are treating it as a strategic asset for actionable insights. Many struggle with locating and aggregating data, while others wrestle with visualizing and interpreting the data. Join Anwesa Chatterjee and Ron Lunasin for an interactive and demo-focused session on how to leverage the latest technologies in the cloud analytics market to make every-line of business data-driven. You’ll see how companies from different industries are using the Informatica Cloud to make waves across their companies by connecting, aggregating and relating data from different sources. You’ll also discover how to achieve amazing insights with the Salesforce Analytics Cloud. Finally you’ll learn the 5 top tips that ensure that your data will always be clean, connected and contextual with Wave Analytics and Informatica.
Webinar: Introducing the SnapLogic Elastic Integration Platform Summer 2014 R...SnapLogic
In this webinar, we talk about our Summer 2014 release and how our single integration platform as a service (iPaaS) allows you to connect your big data sources, cloud and legacy applications and enterprise APIs. We also discuss our newest features including new and updated Snaps, a Snap-building community for Java developers and SAML 2.0 single sign on user authentication.
To learn more, visit: http://www.snaplogic.com/summer2014
In this slidedeck, Infochimps Director of Product, Tim Gasper, discusses how Infochimps tackles business problems for customers by deploying a comprehensive Big Data infrastructure in days; sometimes in just hours. Tim unlocks how Infochimps is now taking that same aggressive approach to deliver faster time to value by helping customers develop analytic applications with impeccable speed.
My Slidedeck about Common Data Service and Model. This technology is under development so content is subject to change and based on current service on 4/13/2018
What PowerApps makers should know about Dynamics 365. Jukka Niiranen's presentation at Finnish Office 365 & SharePoint User Group (SPUG) meeting on August 26th 2019 at Elisa HQ.
Introduction to Microsoft Power Apps- a no code app development solution on Office365. Integrates with the office platform and is better together with Microsoft Flow and Power BI.
Building Bridges: Merging RPA Processes, UiPath Apps, and Data Service to bu...DianaGray10
This session is focused on the art of application architecture, where we unravel the intricacies of creating a standard, yet dynamic application structure.
We'll explore:
Essential components of a typical application, emphasizing their roles and interactions.
Learn how to connect UiPath RPA Processes, UiPath Apps, and Data Service together to build a stronger app.
Gain insights into building more efficient, interconnected, and robust applications in the UiPath ecosystem.
Speaker:
David Kroll, Director, Product Marketing @Ashling Partners and UiPath MVP
Feature Store as a Data Foundation for Machine LearningProvectus
Looking to design and build a centralized, scalable Feature Store for your Data Science & Machine Learning teams to take advantage of? Come and learn from experts of Provectus and Amazon Web Services (AWS) how to!
Feature Store is a key component of the ML stack and data infrastructure, which enables feature engineering and management. By having a Feature Store, organizations can save massive amounts of resources, innovate faster, and drive ML processes at scale. In this webinar, you will learn how to build a Feature Store with a data mesh pattern and see how to achieve consistency between real-time and training features, to improve reproducibility with time-traveling for data.
Agenda
- Modern Data Lakes & Modern ML Infrastructure
- Existing and Emerging Architectural Shifts
- Feature Store: Overview and Reference Architecture
- AWS Perspective on Feature Store
Intended Audience
Technology executives & decision makers, manager-level tech roles, data architects & analysts, data engineers & data scientists, ML practitioners & ML engineers, and developers
Presenters
- Stepan Pushkarev, Chief Technology Officer, Provectus
- Gandhi Raketla, Senior Solutions Architect, AWS
- German Osin, Senior Solutions Architect, Provectus
Feel free to share this presentation with your colleagues and don't hesitate to reach out to us at info@provectus.com if you have any questions!
REQUEST WEBINAR: https://provectus.com/webinar-feature-store-as-data-foundation-for-ml-nov-2020/
Enterprise Integration Patterns Revisited (again) for the Era of Big Data, In...Kai Wähner
In 2015, I had two talks about Enterprise Integration Patterns at OOP 2015 in Munich, Germany and at JavaDay 2015 in Kiev, Ukraine. I reused a talk from 2013 and updated it with current trends to show how important Enterprise Integration Patterns (EIP) are everywhere today and in the upcoming years.
Achieve New Heights with Modern AnalyticsSense Corp
Businesses can leverage modern cloud platforms and practices for net-new solutions and to enhance existing capabilities, resulting in an upgrade in quality, increased speed-to-market, global deployment capability at scale, and improved cost transparency.
In this webinar, Josh Rachner, data practice lead at Sense Corp, will help prepare you for your analytics transformation and explore how to make the most on new platforms by:
Building a strong understanding of the rise, value, and direction of cloud analytics
Exploring the difference between modern and legacy systems, the Big Three technologies, and different implementation scenarios
Sharing the nine things you need to know as you reach for the clouds
You’ll leave with our pre-flight checklist to ensure your organization will achieve new heights.
Integrating Applications and Data (with Oracle PaaS Cloud) - Oracle Cloud Day...Lucas Jellema
Integration is a challenge that has become even more urgent with the move to the cloud that all organizations are making or are about to make. Whether SaaS applications have to be enabled (linked to other SaaS applications or to custom apps) or IoT is used to integrate the physical world into enterprise IT or whether microservices (on premises) have to collaborate with microservices (in the cloud) - integration is at the heart of enterprise IT. This presentation discusses the move to the cloud, a number of common integration use cases and the key components in Oracle PaaS Portfolio for tackling these challenges. The presentation was delivered at the Oracle Cloud Day 2017 in Nieuwegein, The Netherlands
AnalytiX DS Unified Software Platform for enterprise data mapping, governance and code automation manage data, metadata, data mappings and integration processes through the system development life-cycle (SDLC) process, enabling governance, automation transparency and lineage of the data in a single unified platform for data integration professionals
Apache ® Spark™ MLlib 2.x: How to Productionize your Machine Learning ModelsAnyscale
Apache Spark has rapidly become a key tool for data scientists to explore, understand and transform massive datasets and to build and train advanced machine learning models. The question then becomes, how do I deploy these model to a production environment? How do I embed what I have learned into customer facing data applications?
In this webinar, we will discuss best practices from Databricks on
how our customers productionize machine learning models
do a deep dive with actual customer case studies,
show live tutorials of a few example architectures and code in Python, Scala, Java and SQL.
Similar to Model-driven apps with PowerApps - SPSBE 2018 (20)
How to Position Your Globus Data Portal for Success Ten Good PracticesGlobus
Science gateways allow science and engineering communities to access shared data, software, computing services, and instruments. Science gateways have gained a lot of traction in the last twenty years, as evidenced by projects such as the Science Gateways Community Institute (SGCI) and the Center of Excellence on Science Gateways (SGX3) in the US, The Australian Research Data Commons (ARDC) and its platforms in Australia, and the projects around Virtual Research Environments in Europe. A few mature frameworks have evolved with their different strengths and foci and have been taken up by a larger community such as the Globus Data Portal, Hubzero, Tapis, and Galaxy. However, even when gateways are built on successful frameworks, they continue to face the challenges of ongoing maintenance costs and how to meet the ever-expanding needs of the community they serve with enhanced features. It is not uncommon that gateways with compelling use cases are nonetheless unable to get past the prototype phase and become a full production service, or if they do, they don't survive more than a couple of years. While there is no guaranteed pathway to success, it seems likely that for any gateway there is a need for a strong community and/or solid funding streams to create and sustain its success. With over twenty years of examples to draw from, this presentation goes into detail for ten factors common to successful and enduring gateways that effectively serve as best practices for any new or developing gateway.
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.
A Comprehensive Look at Generative AI in Retail App Testing.pdfkalichargn70th171
Traditional software testing methods are being challenged in retail, where customer expectations and technological advancements continually shape the landscape. Enter generative AI—a transformative subset of artificial intelligence technologies poised to revolutionize software testing.
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
Accelerate Enterprise Software Engineering with PlatformlessWSO2
Key takeaways:
Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
How Choreo enables the platformless experience.
How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo.
Demo of an end-to-end app built and deployed on Choreo.
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
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.
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
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.
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
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?
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.
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.
Cyaniclab : Software Development Agency Portfolio.pdfCyanic lab
CyanicLab, an offshore custom software development company based in Sweden,India, Finland, is your go-to partner for startup development and innovative web design solutions. Our expert team specializes in crafting cutting-edge software tailored to meet the unique needs of startups and established enterprises alike. From conceptualization to execution, we offer comprehensive services including web and mobile app development, UI/UX design, and ongoing software maintenance. Ready to elevate your business? Contact CyanicLab today and let us propel your vision to success with our top-notch IT solutions.
First Steps with Globus Compute Multi-User EndpointsGlobus
In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
4. Stefan Strube
• Solution Architect @ Strukton
• SharePoint, Office 365, Dynamics CRM / NAV / 365
• Co-founder CRM user group CEProNL
• Co-founder Dutch PowerApps & Flow User Group
5Model-Driven Apps with PowerApps
5. Agenda
• Introduction
• Common Data Service for Apps
• Model-Driven Apps, Demo
• Good to know
6Model-Driven Apps with PowerApps
6. Recent events
• Microsoft Business Forward event 2018
• Spring Update 2018
• Microsoft Build 2018
• Microsoft Business Applications Summit
• October 2018 Release
• Microsoft Ignite 2018
7Model-Driven Apps with PowerApps
9. Common Data
Service for Apps
…storage of data model,
business logic,
user interface &
transactional data
Data
Rules + Logic
API
Forms + Views
Model-Driven Apps with PowerApps
10. Create (CDS for Apps)
database
11Model-Driven Apps with PowerApps
11. Common Data Model
An open-sourced definition of
modular and extensible
business entities
with semantic metadata
that simplify the challenges of
application development
and data integration.
12Model-Driven Apps with PowerApps
16. Data Model
• Option Sets
• Entities
• Fields
• Calculated Fields
• Rollup fields
• Relationships
• Field mapping
17Model-Driven Apps with PowerApps
17. Business Logic
• Business Rules
• Client / server side
• Workflow
• Background
• Realtime
• Flow
• Connectors
• Approvals
• Business Process Flows
18Model-Driven Apps with PowerApps
22. Demo
• Create database in (new) environment
• Create data model, business logic, user interface
• Create app with App Designer
• Publish app
23Model-Driven Apps with PowerApps
23. Data model design
• Option Sets
• Entities
• Fields Data type
• Relationships
• Field mapping
24Model-Driven Apps with PowerApps
33. Proposition
• Canvas app
• CDS for Apps
• Model-driven app
• Connectors
Data
Rules +
Logic
API
Forms +
Views
Model-Driven Apps with PowerApps
34. Get started for free
• Community Plan
Get a free environment for individual use
• PowerApps Plan 2 Trial
• Preview Program
36Model-Driven Apps with PowerApps
38. Licensing tip
Dynamics 365 Team Member license:
• More features than PowerApps P2
• Read data from any entity
• Full CRUD operations on any custom
entity + accounts, contacts, activities
• Use of the Dynamics 365 Outlook App
• SharePoint integration for document
management
• Canvas Apps UI is available for the
Team Member
41Model-Driven Apps with PowerApps
39. The Tool
XrmToolBox is a Windows application
that connects to Microsoft Dynamics
365, providing tools to ease
customization, configuration and
operation tasks. It is shipped with more
than 30 plugins to make administration,
customization or configuration tasks
easier and less time consuming.
42Model-Driven Apps with PowerApps