The exact online is described as an online business software that is used by business owners as well as accountants. The process of the combination of the accountant as well as the CRM or customer relationship management is capable of offering users a perfect basis for the business organization to be healthy. CData Drivers for Exact Online can provide an integrated package for all small businesses as well as organizations for the process of manufacturing solutions for wholesale and services professionals. It can raise the efficiency of the organization as well as automate everything with just one single flexible subscription that is online. CData Drivers for Exact Online permits the users and developers to connect to the exact online with the help of the bi-directional as well as the information drivers.
This package includes the following components:
- Exact Online ADO.NET Provider
- Exact Online BizTalk Adapter
- Exact Online Data Cmdlets
- Exact Online FireDAC Components
- Exact Online JDBC Driver
- Exact Online MuleSoft Connector
- Exact Online ODBC Driver
- Exact Online Power BI Connector
- Exact Online SSIS Components
- Exact Online Tableau Connector
- Excel Add-In for Exact Online
Key Features of CData Drivers for Exact Online:
ETL & Replication: ETL stands for extract, transform, and load, and it is described to be a data integration process that can combine data from different sources into a single source, which can load it back into the data warehouse or the target system. It was initially introduced in the year 1970, and it was a process for the integration of the data. It is a supercomputer for the process of computation and analysis. It is recommended very often now for creating a target for data repositories that have the need and require a less frequent updating process. An ETL that has been designed properly is capable of extracting the data from the different source systems to enforce the quality of the data and its consistency and can confirm that the data help separate sources and can be used together in a format that is for the developers and the users to build applications and the decision to be made by the end-users.
Data Management: The process of data management has been described as a process that is administrative and can include processes such as acquiring, validating, storing as well and protecting the data that the user requires to ensure that it is accessible and reliable for the users and developers.
Workflow & Automation: The process of workflow automation is described to be the design for the process of Execution as well as automation which is based on the rules of the workflow wherever the human task data and even the files or the data that are being routed between the people and the larger system-based or the predefined business rules. The process of automatic workflow, the processes that are primarily under-handled manually by the employees of the organization, has significant improvements that can be done in efficiency, productivity, job satisfaction, accuracy as well and audibility. With the use of the process of a drag-and-drop interface, the user can add as well as arrange the tasks, and the automated workflow can be planned and designed visually to stimulate or even improve upon the process of. The automation of certainly given workflow process as the ability to be involved in a certain request as well as an approval process four different business rules that are triggered.
Data Virtualization: The process of data virtualization is simply the process of aggregation of the data can happen from different sources of the information to develop a single as well a logical view of information that can be virtual as well so that all the front can access it ends solutions like the applications, dashboard and even the portal he does any need to know the data’s actual location and the detail as to when was it formatted last. Many organizations today are capable of running multiple types of databases for their management system, and the process of the tablet relation can involve the process of abstracting, transforming, and deliberating data from sources that are disparate. The main aim of data virtualization is to provide the users and developers a single point to access the data by aggregating the data from a huge range of sources. The process of data virtualization and the software can be used often in certain tasks such as data integration, business integration, Enterprise search, and last but not least, the Architecture data services, which are service-oriented.