The integration processes can be designed and built using a visual designer that includes access to a library of pre-built connectors and process maps. Using familiar point-and-click, drag-and-drop techniques, users can build very simple to very sophisticated integration processes with exceptional speed. No coding is required.
Build -- Design and configure your integration
Deploy -- Run your integration anywhere
Manage -- Centrally control your integrations
Embed -- Productize integration to extend your application
Connector SDK -- Develop & Maintain your own Connectors
Always the first and last steps of an integration workflow, the Connector enables access to another application or data source. The connector sends/receives data and converts it into a normalized XML format. A Connector's primary role is to "operationalize an API" by abstracting the technical details of an API and providing a wizard-based approach to configuring access to the associated application. Connectors are also configurable to capture only new or changed data, based on the last successful run date of an integration process.
While core to any integration, the data stored in various applications is rarely, if ever, semantically consistent. For example, a Customer represented in one application will have different fields and formats from that of another application. Using data transformation components, users can map data from one format to another. Any structured data format is supported, included XML, EDI, flat file, and database formats. While transforming data, the user can also invoke a variety of field-level transformations as well to transform, augment, or compute data fields. Over 50 standard functions are provided. Users can also create their own functions and re-use them in subsequent projects.
Decision components enable true/false data validation that enables users to explicitly handle a result based on the programmed logic. For example, an order can be checked against the target system to see if it has already been processed. Based upon the outcome of the data check, the request will be routed down either the 'true' or 'false' path. Other examples include checking products referenced in an invoice to ensure they exist before processing the invoice, etc.
Integrations are only as successful as the quality of data that gets exchanged. Cleanse components allow users to validate and "clean" data on a field-by-field, row-by-row basis to ensure that fields are the right data type, the right length, and the right numeric format (e.g. currency). Users have an option of specifying whether they wish to attempt to auto-repair bad data or simply reject rows that. All validation results are routed through a "clean" or "rejected" path, which allows users to explicitly handle either scenario.
For any step of the integration workflow, Message components can be used to create dynamic notifications that make use of content from the actual data being integrated. This allows the creation of messages like "Invoice 1234 was successfully processed for customer ABC Inc." Connectors are then used to deliver the message to the appropriate end point.
Route components examine any of the content in the actual data being processed or use numerous other properties available to the user (such as directory, file name, etc.) and route the extracted data down specific paths of execution.
Split components re-organize data into logical representations, such as business transactions. For example, you can take incoming invoice headers and details, and create logical invoice documents to ensure the applications being integrated process or reject the entire invoice vs. discrete pieces.
Information is a vital corporate asset and you cannot afford to disrupt your business when expanding your storage environment. When preparing to migrate data and applications, you need it to happen as efficiently as possible, with reduced downtime and with as little business disruption as possible. This is especially true when considering moving large amounts of data or important applications. Data migration can be a hazardous and time-consuming task, and mistakes can result in data loss. Vision Data Center can help you ensure that your data is safely migrated and available on your new storage system/s with minimal business impact.
Vision Data Center has developed a non-intrusive methodology for data migration, this methodology utilizes standard tools and processes to optimize migration and ensure a smooth transition to your new storage environment. Vision Data Center Consultants will select the appropriate migration strategy to address your specific requirements, environment and offline time criteria. Vision Data Center performs data migration either across the IP network or directly between arrays dependent on infrastructure selected.
Experienced Vision Data Center Storage Consultants use their skills and expertise to help ensure an effective, timely and efficient data migration. Our planning process amongst others includes an evaluation of infrastructure vulnerabilities, the assessment of disruption, resource needs, application requirements and operational risks prior to data migration. Vision Data Center Infrastructure Consulting can help provide an efficient data migration plan that can prepare your business to better manage unforeseen interruptions.
Vision Data Center can offer end-to-end solutions with a single point of contact for hardware, software, services and on-going support. In a time when many providers aspire to do everything, we focus on IT infrastructure services excellence. Vision Data Center Consultants will work with you to gain an understanding of your business objectives and IT strategy, then design plans that are flexible enough to adapt to current environments and structured to scale to future requirements.
Contact to our Data Center Specialist
410-598-6600 or firstname.lastname@example.org