What is CData Drivers for Email?
It permits the user to connect to the internet email with the use of the POP, IMAP, SMTP and it provides a very easy to use as well as a bi-directional driver to the users and the developers. In order to send an internet email, it requires the connection of the internet as well as an excess of the server to the mail. The standard protocol which is mainly used for the sending of the internet email is called simple mail transfer protocol and this protocol is mainly used for the process of sending as well as receiving the email messages via the connection of Internet. The server of the email is capable of holding as well as distributing the messages of the email for the email clients. The clients are capable of connecting to the email server as well as retrieving the messages easily and flexibly and the server of the email can be known as a mail server, or even a mail exchange server. Whenever the simple mail transfer protocol is unable to connect with the remote server then the message has a tendency to go into a queue. The message which is located in the queue will be periodically retried by the user and the developer and if the messages undelivered after many amounts of time for example 30 hours when the message will be returned to the sender itself and will stay on delivered. The email client is known to be a software application that is used for the sending and receiving at the same time storing and viewing of the emails. There are some examples of email clients which include Microsoft Outlook, Mozilla Thunderbird, eM Client, and last but not least mail.
BI & Data Visualization
The BI or popularly known as business intelligence is a strategy as well as a technology that is used by the enterprises for the process of data analysis and information of the business. The business intelligence is capable of providing the historical as well as current, along with the predictive view about the operation of the business to the business owners. The function of the business intelligence commonly is included as reporting, processing analytics, dashboarding the development, data mining, processing of the complex event, management of the business performance, Predictive analytics, benchmarking, and finally prescriptive analytics.
ETL & Replication
It can simplify the extraction transform and load as well as the replication of the data to information or the warehouse of RDBMS.
Data Management
The process of data management is the process of managing data and considering it to be a valuable resource to unlock all the potential for the organization. In order to manage data effectively, the user requires to have a data strategy as well as a reliable method in order to access, integrate as well as cleanse, at the same time govern, store data and prepare data for the process of analytics. Data is being poured into the business organization from every angle in the digital world but in order to manage as well as save the data the organization as well as the business, firms need to perform the process of data management. The value of the data is not based on its source, either the quality or the format. It is highly based on what the user does with it.
Workflow & Automation
It can integrate with the Email through the process of automation of the software and even the workflow.
Data Virtualization
The process of data virtualization is known to be the approach for data management which allows the user and the developer to retrieve as well as manipulate the data without any need for technical details as to when was the last time it was formatted or even where is the physical location of it. It is also considered to be the alternative to the extracting transforming and loading process of the data as well as the warehousing. The process of data virtualization is aiming at the production of quick and timely insight from huge sources of data without the need to embark on the data project weight of the extensive use of the process of extracting transforming and loading along with the storage of data. The process has the ability to extend the user adapters to serve the data warehousing needs and requirements.
This package includes the following components:
Email ADO.NET Provider v22.0.8389
Email BizTalk Adapter v21.0.8011
Email Data Cmdlets v22.0.8389
Email FireDAC Components v22.0.8389
Email JDBC Driver v22.0.8389
Email MuleSoft Connector v21.0.8011
Email ODBC Driver v22.0.8389
Email Power BI Connector v22.0.8389
Email SSIS Components v22.0.8389
Email Tableau Connector v22.0.8389
Excel Add-In for Email v22.0.8389
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