Posts

Data Mapping Protocol Buffers (Protobuf)


MapForce 2019 supports data mapping protocol buffers with other structured data formats as mapping sources or targets. In the constant quest for more efficient ways to transfer, manipulate, and manage large structured data sets, Google has created a language- and platform-neutral data format similar to XML, but smaller, faster, and simpler than even JSON data. Tools are available to generate and work with protocol buffers (often abbreviated as protobuf) using Java, Python, C++, C#, Ruby, and other programming languages.

The structure of any protocol buffer message is defined in a .proto file that defines each field name and value type. Altova MapForce lets users drop these .proto files into a data mapping as a source or target along with any other data, including XML, JSON, relational databases, Excel, flat files, REST and SOAP web services, and other data formats. MapForce supports data mapping protocol buffers using .proto files versions 2 and 3.

A MapForce protocol buffers data mapping creates compatibility between existing XML, JSON, database or legacy data formats and new applications leveraging the efficiency of protocol buffers.

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New Data Integration Whitepaper Now Available


The data engulfing enterprises today comes from many seemingly unrelated sources. Collecting, refining, and assimilating all this information, and being flexible enough to accept new data formats and resources, is critical to success in the 24/7 connected world.

We are proud to announce a new whitepaper titled Data Challenges and the MapForce Platform for Data Integration that addresses these issues, now available for free download from the Altova Reference Library.

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This data integration whitepaper gives business executives, data analysts, data-focused developers and others an overview of current trends and issues in data integration, then discusses how Altova MapForce combines with Altova Server products to create a highly automated enterprise data integration platform that is configurable, scalable, and cost-effective.

To cover all the relevant, up-to-date information, the whitepaper even includes a section titled Data Integration for Mobile Devices that discusses how Altova MobileTogether easily integrates to bring data integration results to mobile devices, providing business intelligence dashboards, elegant enterprise forms, and much more in today’s cross-platform BYOD (bring your own device) workplaces.

Click here to download your copy today!

The MapForce Platfrom for Data Integration whitepaper

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Data Integration for Mobile Devices – MobileTogether Works with FlowForce Server


When an offsite manager can read and reply to company email on a mobile phone, it’s only a short step to wanting access to all up-to-the-minute company data from the most convenient device.

Previously we’ve written about using FlowForce Server to generate HTML output that communicates data integration results. And yes, HTML results can be made available to Web browsers on mobile phones and tablets, but that’s an inferior solution for several reasons – the data will be cumbersome to view because it is not formatted for each device, and there is no interactive support for user interface controls built into mobile operating systems like buttons, combo boxes, edit fields, etc.

Fortunately, FlowForce Server jobs can be triggered by Altova MobileTogether solutions. The results are delivered directly to the mobile device and presented in a beautiful native-client form.

Altova MobileTogether is a unique cross-platform mobile development solution that includes functionality to work with FlowForce Server, and by extension MapForce Server, to bring data integration results to mobile devices to integrate business intelligence dashboards, elegant enterprise forms, and much more.

Here’s how a month-to-date sales report can appear on a mobile phone as a MobileTogether solution:

Month-to-date sales report on a mobile device, created with MobileTogether

When the solution launches, the sales manager selects the region and product, the report is generated by execution of the FlowForce Server job running on a server back in the enterprise data center, and the results are displayed.

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Automating Data Integration Workflows – Download the E-Book


We’ve published an e-book titled Automating Data Integration Workflows with Altova FlowForce Server that is now available for free download from the Altova Web site.

Here is a brief description: FlowForce Server is a highly-customizable platform to automate data transformations defined by MapForce data mappings, report and document generation, and other tasks on dedicated servers, virtual machines, or workstations scaled for the scope of the project. FlowForce Server empowers data architects, analysts, and other IT professionals to efficiently complete enterprise-level data integration tasks.

Automating Data Integration Workflows with Altova FlowForce Server provides an overview of the Altova FlowForce Server platform through a series of real-world data integration tasks and examples.

Automating Data Integration Workflows with Altova FlowForce Server

The new e-book collects updated information from the Altova Blog, the Altova Web site, and some all-new material, organized in one location to help new FlowForce Server users get started and to suggest new applications and efficiencies for experienced users.

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Installing Altova Server Software in the Cloud


Cloud-first is becoming the new normal. At recent events we have frequently been asked about using Altova Server tools in the cloud. The answer is definitely, go for it. The installation is easy. In fact, we use Altova Server Software products ourselves for an internal reporting application, installed on local virtualized servers and on an AWS cloud instance. The charts below were generated by StyleVision Server running in the cloud to quickly communicate information about changes in dynamic data.

StyleVision Server is based on the built-in report and document generation engine developed for StyleVision and renders .SPS stylesheets originally designed in StyleVision, including features like a rich variety of charts to visually represent data.

In this post we will walk through the installation of FlowForce Server, MapForce Server, StyleVision Server, and RaptorXML Server for a complete data integration solution in the cloud.

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FlowForce Server Job Cache Enhancements


FlowForce Server has new enhancements that add functionality to job caching. Job caching allows administrators to schedule execution of time consuming jobs, store the results, and deliver output instantaneously in response to HTTP requests from end users. Our earlier post titled Result Caching Accelerates Application Response Time described how to configure a job to take advantage of caching.

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Deploy Data Mappings and Report Designs for Automated Processing


Deploying data mappings created in MapForce and report designs created in StyleVision for automated processing by Altova server products is straightforward and quick.

The File menu in MapForce includes two options to optimize, preprocess, and deploy data mappings for MapForce Server and FlowForce Server. Preprocessing enables faster performance and reduced memory footprint for most data mappings.MapForce menu option to deploy to FlowForce Server Read more…

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