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4. Camunda is a BPM engine for business process automation.- Open source allows you to clearly understand how the software works, and excellent documentation allows you to quickly understand how to integrate the engine into your infrastructure.- Camunda supports the latest version of Java or any JVM language at all.- Excellent architecture inside - the engine does what is expected of it in the most obvious and expected way. There are no unnecessary abstractions that need to be studied.- Easy development, testing, and embedding in CI\CD due to the fact that Camunda can be used simply as a library in a Java application. Camunda does not limit a developer to any conditions. Use any convenient tools - statistical analyzers, test frames, build tools, version control tools.Camunda is also a set of Modeler, Task List, BPMN Engine, DMN Engine, Cockpit, Admin, Optimize.The modeler is an application for creating BPMN process models. These models are needed for other parts of the system.The tasklist is a web application where performers perform tasks set on them by a business process.BPMN Engine is a direct engine that is responsible for BPMN interpretation into JAVA objects, saving objects to the database, and implementing other things (activity listener type) that revolve around processes.DMN Engine - similar to BPMN Engine, only for DMN (Decision Model and Notation)The cockpit is a web application for viewing the state of processes. In the free version, it is heavily cropped in functionality.Admin is a web application for managing user and user rights.Optimize is a web-based application for business process analysis. You have to pay for it.5. AllFusion Process Modeler for description, analysis, and modeling of data models, data meta-model builder. It occupies one of the leading positions in its market segment.It includes three standard methodologies: IDEF0 (functional modeling), DFD (data flow modeling) and IDEF3 (workflow modeling).



6. IBM WebSphere Business Modeler -03.ibm.com/software/products/us/en/modelerIBM WebSphere Business Modeler is a software tool aimed at modeling, simulation and analysis of business processes.The key features of IBM WebSphere Business Modeler are as follows:- allows to form the list of indicators KPI, to bind them to elements of business process and by model simulation to predict their values. Thus, achievement of strategic and tactical goals of the company is traced.- allows describing business processes using BPMN standard diagrams. Information about the organization can accumulate in the form of structured directories, between directories can be established relationships.- By means of Crystal Report toolkit any kinds of reporting on model objects and regulatory reporting can be created in the system, which can be uploaded to Word, Excel, pdf and other formats.- The system supports more than 40 types of analysis, both static (model structure is analyzed) and dynamic (model is analyzed during and after the simulation).- possibilities of gathering and control of values of indicators allow to use the system not only as system of designing, but also as system of execution.- models can be published in such a way that they will be available for review and analysis by the development team.- the system easily integrates with other IBM development products.




Overview

Data model is a conceptual representation of data structures(tables) required for a database and is very powerful in expressing and communicating the business requirements.

A data model visually represents the nature of data, business rules governing the data, and how it will be organized in the database. A data model is comprised of two parts logical design and physical design.

Data model helps functional and technical team in designing the database. Functional team normally refers to

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erwin by Quest helps organizations around the world maximize thebusiness impact of data. A leader in enterprise modeling, dataintelligence and data governance software, erwin empowers IT, governanceteams and all data users with the capabilities to discover, govern andshare the high-value, trusted data that delivers meaningful insights,mitigates risks and drives business transformation.


One of the most compelling use cases for erwin Data Modeler lies in itsconnection to the increasingly important and evolving realm of datagovernance. erwin Data Modeler Workgroup Edition provides a controlledcentral repository of data definitions and visibility into where and howproperly defined data should be used.


A data model is avisual representation of data elements and therelationshipsbetween them. Data models help business and technical resources collaborate inthe design of information systems and the databases that power them. They showwhat data is required and how it needs to be structured to support variousbusiness processes.


Data modeling is the process of creating a data model tocommunicate datarequirements, documenting data structures and entity types. It serves as avisual guide in designing and deploying databases with high-quality datasources as part of application development.


Data modeling tools have proved that if you take the time and make theinvestment upfront, you avoid the pain of costly mistakes further along in thedevelopment process. So the data model is a low-risk, low-cost capability thatsupports many use cases, including:



erwin Data Modeler
 (stylized as 
erwin
 but formerly as 
ERwin
) is computer software for data modeling. Originally developed by Logic Works, erwin has since been acquired by a series of companies, before being spun-off by the private equity firm Parallax Capital Partners, which acquired and incorporated it as a separate entity, erwin, Inc., managed by CEO Adam Famularo.


In April 2016, Parallax Capital Partners, a private equity firm, acquired the software from CA Technologies[13] and appointed Adam Famularo as CEO.[14] The company now operates under a new name stylized as erwin, Inc.[15] In September 2016, erwin announced that it had acquired Corso, a British enterprise architecture service provider.[16] In December of the same year, erwin acquired the business process modeling software Casewise, with a plan to integrate the two.[17] In 2017, erwin released its Data Modeler NoSQL, an enterprise-class data modeling solution for MongoDB. In April 2018, NoSQL data modeling support for Couchbase was added.[18] Also that year, erwin launched a data governance solution with impact analysis and integrations to its business process, enterprise architecture and data modeling suites.[19][20] In January 2018, the company acquired data harvesting technology and data governance consulting services company A&P Consulting.[21]


As customers modernize their data estate to Databricks, they are consolidating various data marts and EDWs into a single scalable lakehouse architecture which supports ETL, BI and AI. Usually one of the first steps of this journey starts with taking stock of the existing data models of the legacy systems and rationalizing and converting them into Bronze, Silver and Gold zones of the Databricks Lakehouse architecture. A robust data modeling tool that can visualize, design, deploy and standardize the lakehouse data assets greatly simplifies the lakehouse design and migration journey as well as accelerates the data governance aspects.





We are pleased to announce our partnership and integration of erwin Data Modeler by Quest with the Databricks Lakehouse Platform to serve these needs. Data modelers can now model and visualize lakehouse data structures with erwin Data Modeler to build Logical and Physical data models

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Customers will have the option to upgrade to University license at a discounted price which provides full version of Riverbed Modeler. Full version of Modeler does not have any restrictions of Academic Edition outlined in this KBA# S24443. Please send you query to modeler@riverbed.com for further information on the University Modeler Program.


A VLAN is a logical connection that allows hosts to be grouped together in the same broadcast domain, so that packets are delivered only to ports that are combined to the same VLAN. We can improve wireless network performance and save bandwidth through the characteristic VLAN network. In addition, the implementation of VLAN greatly improves wireless network security by reducing the number of hosts receiving copies of frames broadcast by switches, thus keeping hosts holding critical data on a separate VLAN. In this paper we compare wireless network with VLAN via wireless network. The proposed network is evaluated within terms of delay and average throughput using web browsing applications and file transfer in heavy traffic. The simulation was carried out using OPNET 14.5 modeler and the results show that the use of VLAN via wireless network improved performance by reducing traffic resulting in a minimized delay time. Furthermore, VLAN implementation reduces network throughput because the traffic received and transmitted has a positive relationship with throughput. Eventually, we investigated the use of adhoc routing protocols such as AODV, DSR, OLSR, TORA and GPR to improve the performance of wireless VLAN networks.
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