This document provides instructions for migrating an Essbase application from one server to another using the Migration Wizard. It describes migrating an application called Mexcorp from an Essbase Release 7.1.0 server to an Essbase Release 9.3.1 server that both use Shared Services security. The steps covered are examining the source and target servers, launching the Migration Wizard, selecting the source and target servers and applications, selecting which application-level and database-level objects to migrate, and examining the migration results. The process migrates application and database objects without data transfer to copy the application structure to the new server.
Data Lakehouse, Data Mesh, and Data Fabric (r2)James Serra
So many buzzwords of late: Data Lakehouse, Data Mesh, and Data Fabric. What do all these terms mean and how do they compare to a modern data warehouse? In this session I’ll cover all of them in detail and compare the pros and cons of each. They all may sound great in theory, but I'll dig into the concerns you need to be aware of before taking the plunge. I’ll also include use cases so you can see what approach will work best for your big data needs. And I'll discuss Microsoft version of the data mesh.
Azure SQL Database (SQL DB) is a database-as-a-service (DBaaS) that provides nearly full T-SQL compatibility so you can gain tons of benefits for new databases or by moving your existing databases to the cloud. Those benefits include provisioning in minutes, built-in high availability and disaster recovery, predictable performance levels, instant scaling, and reduced overhead. And gone will be the days of getting a call at 3am because of a hardware failure. If you want to make your life easier, this is the presentation for you.
Modern DW Architecture
- The document discusses modern data warehouse architectures using Azure cloud services like Azure Data Lake, Azure Databricks, and Azure Synapse. It covers storage options like ADLS Gen 1 and Gen 2 and data processing tools like Databricks and Synapse. It highlights how to optimize architectures for cost and performance using features like auto-scaling, shutdown, and lifecycle management policies. Finally, it provides a demo of a sample end-to-end data pipeline.
Talk given for the #phpbenelux user group, March 27th in Gent (BE), with the goal of convincing developers that are used to build php/mysql apps to broaden their horizon when adding search to their site. Be sure to also have a look at the notes for the slides; they explain some of the screenshots, etc.
An accompanying blog post about this subject can be found at http://www.jurriaanpersyn.com/archives/2013/11/18/introduction-to-elasticsearch/
Introduction to Snowflake Datawarehouse and Architecture for Big data company. Centralized data management. Snowpipe and Copy into a command for data loading. Stream loading and Batch Processing.
DataOps: An Agile Method for Data-Driven OrganizationsEllen Friedman
DataOps expands DevOps philosophy to include data-heavy roles (data engineering & data science). DataOps uses better cross-functional collaboration for flexibility, fast time to value and an agile workflow for data-intensive applications including machine learning pipelines. (Strata Data San Jose March 2018)
Data Lakehouse, Data Mesh, and Data Fabric (r2)James Serra
So many buzzwords of late: Data Lakehouse, Data Mesh, and Data Fabric. What do all these terms mean and how do they compare to a modern data warehouse? In this session I’ll cover all of them in detail and compare the pros and cons of each. They all may sound great in theory, but I'll dig into the concerns you need to be aware of before taking the plunge. I’ll also include use cases so you can see what approach will work best for your big data needs. And I'll discuss Microsoft version of the data mesh.
Azure SQL Database (SQL DB) is a database-as-a-service (DBaaS) that provides nearly full T-SQL compatibility so you can gain tons of benefits for new databases or by moving your existing databases to the cloud. Those benefits include provisioning in minutes, built-in high availability and disaster recovery, predictable performance levels, instant scaling, and reduced overhead. And gone will be the days of getting a call at 3am because of a hardware failure. If you want to make your life easier, this is the presentation for you.
Modern DW Architecture
- The document discusses modern data warehouse architectures using Azure cloud services like Azure Data Lake, Azure Databricks, and Azure Synapse. It covers storage options like ADLS Gen 1 and Gen 2 and data processing tools like Databricks and Synapse. It highlights how to optimize architectures for cost and performance using features like auto-scaling, shutdown, and lifecycle management policies. Finally, it provides a demo of a sample end-to-end data pipeline.
Talk given for the #phpbenelux user group, March 27th in Gent (BE), with the goal of convincing developers that are used to build php/mysql apps to broaden their horizon when adding search to their site. Be sure to also have a look at the notes for the slides; they explain some of the screenshots, etc.
An accompanying blog post about this subject can be found at http://www.jurriaanpersyn.com/archives/2013/11/18/introduction-to-elasticsearch/
Introduction to Snowflake Datawarehouse and Architecture for Big data company. Centralized data management. Snowpipe and Copy into a command for data loading. Stream loading and Batch Processing.
DataOps: An Agile Method for Data-Driven OrganizationsEllen Friedman
DataOps expands DevOps philosophy to include data-heavy roles (data engineering & data science). DataOps uses better cross-functional collaboration for flexibility, fast time to value and an agile workflow for data-intensive applications including machine learning pipelines. (Strata Data San Jose March 2018)
SQL Server Integration Services (SSIS) is a platform for building extract, transform, and load (ETL) packages and other data integration and workflow tasks. It includes graphical tools and wizards to design packages, as well as utilities to run, debug, and deploy packages. Key components of SSIS include control flow tasks, data flows, variables, logging, and support for transactions and restarting failed packages.
Data Lakehouse, Data Mesh, and Data Fabric (r1)James Serra
So many buzzwords of late: Data Lakehouse, Data Mesh, and Data Fabric. What do all these terms mean and how do they compare to a data warehouse? In this session I’ll cover all of them in detail and compare the pros and cons of each. I’ll include use cases so you can see what approach will work best for your big data needs.
Apache Sqoop: A Data Transfer Tool for HadoopCloudera, Inc.
Apache Sqoop is a tool designed for efficiently transferring bulk data between Hadoop and structured datastores such as relational databases. This slide deck aims at familiarizing the user with Sqoop and how to effectively use it in real deployments.
Microsoft Azure BI Solutions in the CloudMark Kromer
This document provides an overview of several Microsoft Azure cloud data and analytics services:
- Azure Data Factory is a data integration service that can move and transform data between cloud and on-premises data stores as part of scheduled or event-driven workflows.
- Azure SQL Data Warehouse is a cloud data warehouse that provides elastic scaling for large BI and analytics workloads. It can scale compute resources on demand.
- Azure Machine Learning enables building, training, and deploying machine learning models and creating APIs for predictive analytics.
- Power BI provides interactive reports, visualizations, and dashboards that can combine multiple datasets and be embedded in applications.
The document discusses Delta Live Tables (DLT), a tool from Databricks that allows users to build reliable data pipelines in a declarative way. DLT automates complex ETL tasks, ensures data quality, and provides end-to-end visibility into data pipelines. It unifies batch and streaming data processing with a single SQL API. Customers report that DLT helps them save significant time and effort in managing data at scale, accelerates data pipeline development, and reduces infrastructure costs.
Microsoft Data Integration Pipelines: Azure Data Factory and SSISMark Kromer
The document discusses tools for building ETL pipelines to consume hybrid data sources and load data into analytics systems at scale. It describes how Azure Data Factory and SQL Server Integration Services can be used to automate pipelines that extract, transform, and load data from both on-premises and cloud data stores into data warehouses and data lakes for analytics. Specific patterns shown include analyzing blog comments, sentiment analysis with machine learning, and loading a modern data warehouse.
SSIS is a platform for data integration and workflows that allows users to extract, transform, and load data. It can connect to many different data sources and send data to multiple destinations. SSIS provides functionality for handling errors, monitoring data flows, and restarting packages from failure points. It uses a graphical interface that facilitates transforming data without extensive coding.
Denodo Data Virtualization Platform: Overview (session 1 from Architect to Ar...Denodo
This is the first in a series of five webinars that look 'under the covers' of Denodo's industry leading Data Virtualization Platform. The webinar will provide an overview of the architecture and key modules of the Denodo Platform - subsequent webinars in the series will take a deeper look at some of the key modules and capabilities of the platform, including performance, scalability, security, and so on.
More information and FREE registrations to this webinar: http://goo.gl/fLi2bC
To learn more click to this link: http://go.denodo.com/a2a
Join the conversation at #Architect2Architect
Agenda:
The Denodo Platform
Platform Architecture
Key Modules
Connectors
Data Services and APIs
An introduction to self-service data with Dremio. Dremio reimagines analytics for modern data. Created by veterans of open source and big data technologies, Dremio is a fundamentally new approach that dramatically simplifies and accelerates time to insight. Dremio empowers business users to curate precisely the data they need, from any data source, then accelerate analytical processing for BI tools, machine learning, data science, and SQL clients. Dremio starts to deliver value in minutes, and learns from your data and queries, making your data engineers, analysts, and data scientists more productive.
This document summarizes a presentation about the graph database Neo4j. The presentation included an agenda that covered graphs and their power, how graphs change data views, and real-time recommendations with graphs. It introduced the presenters and discussed how data relationships unlock value. It described how Neo4j allows modeling data as a graph to unlock this value through relationship-based queries, evolution of applications, and high performance at scale. Examples showed how Neo4j outperforms relational and NoSQL databases when relationships are important. The presentation concluded with examples of how Neo4j customers have benefited.
[DSC Europe 22] Lakehouse architecture with Delta Lake and Databricks - Draga...DataScienceConferenc1
Dragan Berić will take a deep dive into Lakehouse architecture, a game-changing concept bridging the best elements of data lake and data warehouse. The presentation will focus on the Delta Lake format as the foundation of the Lakehouse philosophy, and Databricks as the primary platform for its implementation.
Data Mess to Data Mesh | Jay Kreps, CEO, Confluent | Kafka Summit Americas 20...HostedbyConfluent
Companies are increasingly becoming software-driven, requiring new approaches to software architecture and data integration. The "data mesh" architectural pattern decentralizes data management by organizing it around domain experts and treating data as products that can be accessed on-demand. This helps address issues with centralized data warehouses by evolving data modeling with business needs, avoiding bottlenecks, and giving autonomy to domain teams. Key principles of the data mesh include domain ownership of data, treating data as self-service products, and establishing federated governance to coordinate the decentralized system.
DAS Slides: Building a Data Strategy — Practical Steps for Aligning with Busi...DATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task. The opportunity in getting it right can be significant, however, as data drives many of the key initiatives in today’s marketplace from digital transformation, to marketing, to customer centricity, population health, and more. This webinar will help de-mystify data strategy and data architecture and will provide concrete, practical ways to get started.
What is Microsoft Azure?
Azure App Service
Azure Machine Learning
Microservices in Azure
Azure Cloud Service
Azure Functions
Real life problem solution discuss
Azure Data Factory is a cloud data integration service that allows users to create data-driven workflows (pipelines) comprised of activities to move and transform data. Pipelines contain a series of interconnected activities that perform data extraction, transformation, and loading. Data Factory connects to various data sources using linked services and can execute pipelines on a schedule or on-demand to move data between cloud and on-premises data stores and platforms.
The cloud is all the rage. Does it live up to its hype? What are the benefits of the cloud? Join me as I discuss the reasons so many companies are moving to the cloud and demo how to get up and running with a VM (IaaS) and a database (PaaS) in Azure. See why the ability to scale easily, the quickness that you can create a VM, and the built-in redundancy are just some of the reasons that moving to the cloud a “no brainer”. And if you have an on-prem datacenter, learn how to get out of the air-conditioning business!
Enterprise Data Governance Framework With Change ManagementSlideTeam
“You can download this product from SlideTeam.net”
Presenting this set of slides with name Enterprise Data Governance Framework With Change Management. The topics discussed in these slides are Strategy, Organization, Management. This is a completely editable PowerPoint presentation and is available for immediate download. Download now and impress your audience. https://bit.ly/3b4VcEH
Dev show september 8th 2020 power platform - not just a simple toyJens Schrøder
The document provides an overview of the Microsoft Power Platform and its capabilities. It discusses:
- Power Platform is a low-code platform spanning Office 365, Dynamics 365, Azure and standalone applications.
- It includes capabilities like Power BI for business analytics, Power Apps for application development, Power Automate for workflow automation, and more.
- Common Data Service provides a common data store and data model that can be used across applications for structured and semi-structured data from various sources.
SQL Server Integration Services (SSIS) is a platform for building extract, transform, and load (ETL) packages and other data integration and workflow tasks. It includes graphical tools and wizards to design packages, as well as utilities to run, debug, and deploy packages. Key components of SSIS include control flow tasks, data flows, variables, logging, and support for transactions and restarting failed packages.
Data Lakehouse, Data Mesh, and Data Fabric (r1)James Serra
So many buzzwords of late: Data Lakehouse, Data Mesh, and Data Fabric. What do all these terms mean and how do they compare to a data warehouse? In this session I’ll cover all of them in detail and compare the pros and cons of each. I’ll include use cases so you can see what approach will work best for your big data needs.
Apache Sqoop: A Data Transfer Tool for HadoopCloudera, Inc.
Apache Sqoop is a tool designed for efficiently transferring bulk data between Hadoop and structured datastores such as relational databases. This slide deck aims at familiarizing the user with Sqoop and how to effectively use it in real deployments.
Microsoft Azure BI Solutions in the CloudMark Kromer
This document provides an overview of several Microsoft Azure cloud data and analytics services:
- Azure Data Factory is a data integration service that can move and transform data between cloud and on-premises data stores as part of scheduled or event-driven workflows.
- Azure SQL Data Warehouse is a cloud data warehouse that provides elastic scaling for large BI and analytics workloads. It can scale compute resources on demand.
- Azure Machine Learning enables building, training, and deploying machine learning models and creating APIs for predictive analytics.
- Power BI provides interactive reports, visualizations, and dashboards that can combine multiple datasets and be embedded in applications.
The document discusses Delta Live Tables (DLT), a tool from Databricks that allows users to build reliable data pipelines in a declarative way. DLT automates complex ETL tasks, ensures data quality, and provides end-to-end visibility into data pipelines. It unifies batch and streaming data processing with a single SQL API. Customers report that DLT helps them save significant time and effort in managing data at scale, accelerates data pipeline development, and reduces infrastructure costs.
Microsoft Data Integration Pipelines: Azure Data Factory and SSISMark Kromer
The document discusses tools for building ETL pipelines to consume hybrid data sources and load data into analytics systems at scale. It describes how Azure Data Factory and SQL Server Integration Services can be used to automate pipelines that extract, transform, and load data from both on-premises and cloud data stores into data warehouses and data lakes for analytics. Specific patterns shown include analyzing blog comments, sentiment analysis with machine learning, and loading a modern data warehouse.
SSIS is a platform for data integration and workflows that allows users to extract, transform, and load data. It can connect to many different data sources and send data to multiple destinations. SSIS provides functionality for handling errors, monitoring data flows, and restarting packages from failure points. It uses a graphical interface that facilitates transforming data without extensive coding.
Denodo Data Virtualization Platform: Overview (session 1 from Architect to Ar...Denodo
This is the first in a series of five webinars that look 'under the covers' of Denodo's industry leading Data Virtualization Platform. The webinar will provide an overview of the architecture and key modules of the Denodo Platform - subsequent webinars in the series will take a deeper look at some of the key modules and capabilities of the platform, including performance, scalability, security, and so on.
More information and FREE registrations to this webinar: http://goo.gl/fLi2bC
To learn more click to this link: http://go.denodo.com/a2a
Join the conversation at #Architect2Architect
Agenda:
The Denodo Platform
Platform Architecture
Key Modules
Connectors
Data Services and APIs
An introduction to self-service data with Dremio. Dremio reimagines analytics for modern data. Created by veterans of open source and big data technologies, Dremio is a fundamentally new approach that dramatically simplifies and accelerates time to insight. Dremio empowers business users to curate precisely the data they need, from any data source, then accelerate analytical processing for BI tools, machine learning, data science, and SQL clients. Dremio starts to deliver value in minutes, and learns from your data and queries, making your data engineers, analysts, and data scientists more productive.
This document summarizes a presentation about the graph database Neo4j. The presentation included an agenda that covered graphs and their power, how graphs change data views, and real-time recommendations with graphs. It introduced the presenters and discussed how data relationships unlock value. It described how Neo4j allows modeling data as a graph to unlock this value through relationship-based queries, evolution of applications, and high performance at scale. Examples showed how Neo4j outperforms relational and NoSQL databases when relationships are important. The presentation concluded with examples of how Neo4j customers have benefited.
[DSC Europe 22] Lakehouse architecture with Delta Lake and Databricks - Draga...DataScienceConferenc1
Dragan Berić will take a deep dive into Lakehouse architecture, a game-changing concept bridging the best elements of data lake and data warehouse. The presentation will focus on the Delta Lake format as the foundation of the Lakehouse philosophy, and Databricks as the primary platform for its implementation.
Data Mess to Data Mesh | Jay Kreps, CEO, Confluent | Kafka Summit Americas 20...HostedbyConfluent
Companies are increasingly becoming software-driven, requiring new approaches to software architecture and data integration. The "data mesh" architectural pattern decentralizes data management by organizing it around domain experts and treating data as products that can be accessed on-demand. This helps address issues with centralized data warehouses by evolving data modeling with business needs, avoiding bottlenecks, and giving autonomy to domain teams. Key principles of the data mesh include domain ownership of data, treating data as self-service products, and establishing federated governance to coordinate the decentralized system.
DAS Slides: Building a Data Strategy — Practical Steps for Aligning with Busi...DATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task. The opportunity in getting it right can be significant, however, as data drives many of the key initiatives in today’s marketplace from digital transformation, to marketing, to customer centricity, population health, and more. This webinar will help de-mystify data strategy and data architecture and will provide concrete, practical ways to get started.
What is Microsoft Azure?
Azure App Service
Azure Machine Learning
Microservices in Azure
Azure Cloud Service
Azure Functions
Real life problem solution discuss
Azure Data Factory is a cloud data integration service that allows users to create data-driven workflows (pipelines) comprised of activities to move and transform data. Pipelines contain a series of interconnected activities that perform data extraction, transformation, and loading. Data Factory connects to various data sources using linked services and can execute pipelines on a schedule or on-demand to move data between cloud and on-premises data stores and platforms.
The cloud is all the rage. Does it live up to its hype? What are the benefits of the cloud? Join me as I discuss the reasons so many companies are moving to the cloud and demo how to get up and running with a VM (IaaS) and a database (PaaS) in Azure. See why the ability to scale easily, the quickness that you can create a VM, and the built-in redundancy are just some of the reasons that moving to the cloud a “no brainer”. And if you have an on-prem datacenter, learn how to get out of the air-conditioning business!
Enterprise Data Governance Framework With Change ManagementSlideTeam
“You can download this product from SlideTeam.net”
Presenting this set of slides with name Enterprise Data Governance Framework With Change Management. The topics discussed in these slides are Strategy, Organization, Management. This is a completely editable PowerPoint presentation and is available for immediate download. Download now and impress your audience. https://bit.ly/3b4VcEH
Dev show september 8th 2020 power platform - not just a simple toyJens Schrøder
The document provides an overview of the Microsoft Power Platform and its capabilities. It discusses:
- Power Platform is a low-code platform spanning Office 365, Dynamics 365, Azure and standalone applications.
- It includes capabilities like Power BI for business analytics, Power Apps for application development, Power Automate for workflow automation, and more.
- Common Data Service provides a common data store and data model that can be used across applications for structured and semi-structured data from various sources.
This document provides an overview of Microsoft Azure, a cloud computing platform. It describes Azure's global infrastructure including over 100 datacenters across 27 regions. It outlines Azure's platform strategy including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) offerings. The document also highlights Azure's security, compliance certifications, and hybrid capabilities that allow organizations to integrate their existing IT environment with the Azure cloud.
This document provides an introduction to data virtualization and JBoss Data Virtualization. It discusses key concepts like data services, connectors, models, and virtual databases. It describes the architecture and components of JBoss Data Virtualization including tools for creating data views, the runtime environment, and repository. Use cases like business intelligence, 360-degree views, cloud data integration, and big data integration are also covered.
This document discusses service oriented architecture (SOA) and its significance for SSME. It defines SOA as an architectural style that packages business processes as services throughout their lifecycle. SOA encourages separating IT providers from consumers and sharing costs of common services. Following SOA principles provides a foundation for innovation. SOA allows outsourced components and B2B partners to be more effectively managed.
Många agila organisationer inför continuous delivery som ett steg mot att snabbare leverera affärsnytta från IT projekten. Men hur får man det att fungera på riktigt? I denna session går vi igenom hur vi inför tekniker och verktyg för att bygga, paketera och driftsätta en applikation i Azure med hjälp av Visual Studio Team Services (VSTS). Vi kommer under presentationen visa hur man kan göra detta på tre olika sätt beroende på vilka syften och förutsättningar man har.
Microsoft Azure là nền tảng cung cấp dịch vụ của Microsoft hoạt động dựa trên công nghệ điện toán đám mây. Microsoft Azure có thể được sử dụng cho lưu trữ website, đặt máy chủ dịch vụ cho game online và nhiều thứ khác nữa.
This document discusses the benefits of cloud computing using Microsoft Azure. It highlights how Azure allows businesses to rapidly setup environments, scale to meet demands, and increase efficiency at a reduced cost compared to on-premises infrastructure. It provides an overview of Azure services including compute, storage, databases, analytics, web apps, and developer tools. Finally, it outlines how users can get started with Azure through the management portal, scripting, or development tools.
The document discusses iPlanet's infrastructure solutions for establishing an online presence, including establishing a web presence, directory and security infrastructure, dynamic content, integration with internal systems, workflow processes, external connections, and messaging/communications. Key components include the Enterprise Web Server, Directory Server, Application Server, Certificate Management System, and Messaging Server. The solutions provide a foundation for e-commerce applications and hosting services.
This document provides an overview of cloud computing options and considerations for migrating to the cloud. It discusses infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS) deployment models. It also covers assessing the current environment, defining the migration scope, and customizing the migration approach and destination environment. The document emphasizes understanding business needs, having a plan for flexibility as capabilities evolve rapidly, and using migration as an opportunity to restructure content and optimize storage.
Continuous delivery using Azure and VSTS, Global Azure BootCamp 2017 - EstoniaSolidify
The document discusses different approaches to continuous delivery of applications to Azure, including using infrastructure as a service (IaaS), platform as a service (PaaS), and containers. It provides examples of architectures that deploy applications to Azure virtual machines, Azure App Services, and Azure Container Service. The key benefits highlighted are self-service provisioning, integration with continuous integration/delivery (CI/CD) pipelines in Visual Studio Team Services (VSTS), and configuration as code using tools like PowerShell DSC and ARM templates.
WSO2 introduced Carbon, a new component-based SOA platform based on OSGi that provides a common architecture for their products. Carbon allows customers to combine components like the ESB, registry, business process server, and data services into customized solutions. It offers advantages over proprietary middleware like flexibility, agility, and lower costs. The first betas are available now with general availability expected in January 2019.
Next generation DeskTop with Oracle WebCenter and ADFAlejandro Cañadas
VASS Web Desk can be considered the fastest, easy way to generate desk jobs such as:
Consulting your sales figures,Running Business Intelligence (BI) reports without complicated systems,access relevant information when needed,interact with colleagues or manage and track projects among others
WinRT and the Web: Keeping Windows Store Apps Alive and ConnectedJeremy Likness
The Windows Runtime is the runtime that drives Windows 8 and the new Windows Store apps. The runtime enables developers to build rich client apps that run natively on Window 8 devices. In this session, Jeremy Likness explores the various built-in components and APIs that enable Windows Store apps to connect to SOAP, REST, and OData endpoints and syndicate RSS and Atom feeds. Learn how these tools make it easy to build Windows Store apps that are alive and connected to the internet.
Radix Technologies provides international mobility solutions using cloud-based software applications. This allows HR departments, management, service providers, and assignees to communicate and share transfer information in real time. The cloud platform provides a secure and collaborative solution for managing employee transfers. It allows users to store, manage, and retrieve emails, chats and documents related to employee transfers.
Radix Technologies provides international mobility solutions using Software as a Service applications on cloud computing platforms. The document discusses how viaExpat allows HR, management, service providers, and assignees to communicate, share, and store all transfer-related information in real time on a single, shared platform in the cloud. This provides a secure and easy to use collaborative solution for international mobility. Key features of viaExpat include electronic data management, integration with enterprise software, absolute security, data storage flexibility, an employee database, service provider management, a user alert system, a financial module, tenancy management tracking, document management, and cost effectiveness.
Radix Technologies provides international mobility solutions using Software as a Service applications on cloud computing platforms. The document discusses how viaExpat allows HR, management, service providers, and assignees to communicate, share, and store all transfer-related information in real time on a single, shared platform in the cloud. This provides a secure and easy-to-use collaborative solution for international mobility. ViaExpat also integrates with enterprise software and other cloud applications.
Radix Technologies one of Europe's first to adapt cloud technology designs for International Assignment Management systems and applications for International relocations and expatriate management
Radix Technologies provides international mobility solutions using Software as a Service applications on cloud computing platforms. The document discusses how viaExpat allows HR, management, service providers, and assignees to communicate, share, and store all transfer-related information in real time on a single, shared platform in the cloud. This provides a secure and easy-to-use collaborative solution for international mobility. ViaExpat also integrates with enterprise software and other cloud applications.
Similar to Migrating an essbase application across servers using migration wizard (shared services security) (20)
Using Query Store in Azure PostgreSQL to Understand Query PerformanceGrant Fritchey
Microsoft has added an excellent new extension in PostgreSQL on their Azure Platform. This session, presented at Posette 2024, covers what Query Store is and the types of information you can get out of it.
Malibou Pitch Deck For Its €3M Seed Roundsjcobrien
French start-up Malibou raised a €3 million Seed Round to develop its payroll and human resources
management platform for VSEs and SMEs. The financing round was led by investors Breega, Y Combinator, and FCVC.
Flutter is a popular open source, cross-platform framework developed by Google. In this webinar we'll explore Flutter and its architecture, delve into the Flutter Embedder and Flutter’s Dart language, discover how to leverage Flutter for embedded device development, learn about Automotive Grade Linux (AGL) and its consortium and understand the rationale behind AGL's choice of Flutter for next-gen IVI systems. Don’t miss this opportunity to discover whether Flutter is right for your project.
Need for Speed: Removing speed bumps from your Symfony projects ⚡️Łukasz Chruściel
No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
How Can Hiring A Mobile App Development Company Help Your Business Grow?ToXSL Technologies
ToXSL Technologies is an award-winning Mobile App Development Company in Dubai that helps businesses reshape their digital possibilities with custom app services. As a top app development company in Dubai, we offer highly engaging iOS & Android app solutions. https://rb.gy/necdnt
Most important New features of Oracle 23c for DBAs and Developers. You can get more idea from my youtube channel video from https://youtu.be/XvL5WtaC20A
UI5con 2024 - Boost Your Development Experience with UI5 Tooling ExtensionsPeter Muessig
The UI5 tooling is the development and build tooling of UI5. It is built in a modular and extensible way so that it can be easily extended by your needs. This session will showcase various tooling extensions which can boost your development experience by far so that you can really work offline, transpile your code in your project to use even newer versions of EcmaScript (than 2022 which is supported right now by the UI5 tooling), consume any npm package of your choice in your project, using different kind of proxies, and even stitching UI5 projects during development together to mimic your target environment.
Everything You Need to Know About X-Sign: The eSign Functionality of XfilesPr...XfilesPro
Wondering how X-Sign gained popularity in a quick time span? This eSign functionality of XfilesPro DocuPrime has many advancements to offer for Salesforce users. Explore them now!
Unveiling the Advantages of Agile Software Development.pdfbrainerhub1
Learn about Agile Software Development's advantages. Simplify your workflow to spur quicker innovation. Jump right in! We have also discussed the advantages.
Transform Your Communication with Cloud-Based IVR SolutionsTheSMSPoint
Discover the power of Cloud-Based IVR Solutions to streamline communication processes. Embrace scalability and cost-efficiency while enhancing customer experiences with features like automated call routing and voice recognition. Accessible from anywhere, these solutions integrate seamlessly with existing systems, providing real-time analytics for continuous improvement. Revolutionize your communication strategy today with Cloud-Based IVR Solutions. Learn more at: https://thesmspoint.com/channel/cloud-telephony
What to do when you have a perfect model for your software but you are constrained by an imperfect business model?
This talk explores the challenges of bringing modelling rigour to the business and strategy levels, and talking to your non-technical counterparts in the process.
Top 9 Trends in Cybersecurity for 2024.pptxdevvsandy
Security and risk management (SRM) leaders face disruptions on technological, organizational, and human fronts. Preparation and pragmatic execution are key for dealing with these disruptions and providing the right cybersecurity program.
UI5con 2024 - Bring Your Own Design SystemPeter Muessig
How do you combine the OpenUI5/SAPUI5 programming model with a design system that makes its controls available as Web Components? Since OpenUI5/SAPUI5 1.120, the framework supports the integration of any Web Components. This makes it possible, for example, to natively embed own Web Components of your design system which are created with Stencil. The integration embeds the Web Components in a way that they can be used naturally in XMLViews, like with standard UI5 controls, and can be bound with data binding. Learn how you can also make use of the Web Components base class in OpenUI5/SAPUI5 to also integrate your Web Components and get inspired by the solution to generate a custom UI5 library providing the Web Components control wrappers for the native ones.