Altova Software Version 2019 introduces over 20 new features to help you sharpen your development game – starting with support for high-res monitors in both XMLSpy and UModel. There are also tools for working with new standards and database versions across the product line, the ability to map and convert data in Google Protocol Buffers format, and much more. Let’s take a look at the highlights.
Tags: APIs and mobile apps, data integration, mobile development
Busy mobile users on the go prefer apps that are convenient and efficient. MobileTogether provides developers with features to seamlessly integrate APIs and mobile apps to combine mobile device functionality with up-to-date information from external sources. This empowers developers to create custom cross-platform native apps that provide a rich and entertaining end-user experience.
Public APIs are a great source of external data to enhance almost any custom mobile app. Developers can combine information from multiple APIs to provide users with better information, faster, in an elegant, integrated package.
APIs are available for almost any kind of information your mobile app may need, from flight tracking to commodity or stock prices to tropical storm tracking.
In this post we’ll look at a GPS app that starts with mobile device geolocation functionality to answer the basic question, “Where am I?” then interfaces with APIs from Google and MapQuest to add a wealth of additional information. We’ll integrate a spatially-aware search engine to locate nearby points of interest as near as a quarter mile radius, all the way to pin-pointing the user’s location in a satellite photograph with a wide-angle view of an entire continent or more.
Tags: data integration, data mapping, JSON, UML, XBRL, xpath, XQuery, XSLT
Release 2 of the Altova Version 2018 product line introduces a host of new features and updates, and even a brand-new product.
Let’s take a look at the top five reasons you won’t want to wait to download this version.
Tags: data integration, data mapping, MapForce, NCPDP SCRIPT
EDI (Electronic Data Interchange) standards allow participants with different roles in an industry to communicate clearly and rapidly, and date back to the earliest implementations of electronic communication in the 1950s, long before modern business technologies such as ERP, CRM, and many others. Yet even today, EDI standards continue to evolve to support new requirements and opportunities.
SCRIPT is the state of the art EDI standard developed by the National Council for Prescription Drug Programs (NCPDP) for electronically transmitting medical prescriptions, also known as ePrescribing (eRX) in the United States.
Tags: data integration, join data, MapForce, MapForce Server
Join is a powerful SQL operation implemented across most database types and familiar to database users. Join is typically used to select and combine information from multiple database tables.
Altova MapForce includes a join component for data mapping that works like a SQL join for database tables and extends data integration functionality by empowering users to join data trees of any data format. Anyone familiar with join operations for database tables will find the MapForce join component especially intuitive. A join operation in MapForce can even combine two different data formats and produce output in a new format altogether.
Tags: data integration, data mapping, MapForce, MapForce Server
Envision a manufacturing company that controls costs by exploiting a just-in-time assembly process with a very low supply of parts inventory on hand. New customer orders are logged in a sales database and at the end of every day the components needed to assemble that day’s sales are tabulated.
The IT department runs a SQL query to identify the required parts and transforms the list into a purchase order in JSON format to be transmitted to the supply chain.
Sound familiar? Our recent blog series on JSON tools and JSON data mapping were based on this real-life scenario. In this post we describe a MapForce Server use case that automates the repetitive task of generating each day’s purchase order.
Tags: data integration, data mapping, dynamic access to node names, MapForce
There are situations, especially when encountering loosely structured data, where you may want to map and transform structural components of a data stream along with content. MapForce 2017 includes a new feature to dynamically access node names of XML elements, attributes, or text file columns such as the contents of CSV files, to target components.
Dynamic access to node names allows creation on the fly of target elements and attributes whose names do not need to be known beforehand or specifically identified in the data mapping. This feature lets you create much more generic, flexible, and reusable mappings that require less manual intervention if data models evolve.