MobileTogether is an easy to use, low-code app development framework that lets you create sophisticated apps for all platforms from a single design.
Low-code doesn’t mean no code. A database specialist might start with a few SQL queries and use the MobileTogether drag and drop interface to create an app with elegant tables and graphs to report up-to-the-minute enterprise data, while experienced developers often use familiar programming techniques in mobile development to build highly complex, elegant MobileTogether solutions.
Developers define user functions, parameters, variables, loops, or a complex data structure when that’s the right tool for the job. MobileTogether makes it fast and easy to control all the features in the device – camera, microphone, GPS, SMS, handwriting capture, and more. MobileTogether helps you achieve your vision fast and build really cool mobile apps with charisma enough to go viral.
MobileTogether is about getting the work done efficiently, not limiting how you do it. Let’s check out a couple examples of programming techniques in MobileTogether apps.
The only thing better than taking a good survey perhaps is creating one yourself and watching the responses pour in. Surveys are one of those things you just need to use in various situations, whether it’s for customer feedback or to poll your friends on options for your next social distance get together. Though the need for surveys is clear, sometimes finding the right tool to use to create and disseminate your poll is not quite as straight forward.
Luckily, Altova has created SurveyMaker to help you create and analyze surveys easily, quickly, and without breaking the bank. What sets SurveyMaker apart from the rest of the options out there? First and foremost, SurveyMaker works on any device, making the transition from you creating a survey to people taking it really easy. Let’s take a look at some more reasons you should try SurveyMaker for your next survey project.
Software developers and other data professionals often need to transform data from one format to another. These transformations can be simple one-to-one conversions or may require more complex manipulation. For instance, relationships must be generated when importing flat CSV files into a database, or source data may need to be split for the target, as in full name vs. first, middle, last, and optional suffix. Validating data transformation is critical to prevent data loss or corruption.
In our recent post on Web service data integration combined a string value for GMT time with a numeric offset in seconds to generate the local time for weather forecasts. We created a user function that performed all the steps required to complete this operation. MapForce includes a powerful interactive data mapping debugger that can easily trace and validate this transformation. Let’s take a look at how it works.
For more than a decade XMLSpy has been a leading choice for all things XML. But over the years we’ve broadened the scope by adding hundreds of new features, supported standards, and innovative tools to make development faster and easier.
This new overview video offers a quick, high-level look at the various tools and options available, including functionality for JSON, XPath/XQuery, HTTP testing, debugging, back-mapping, and more.
Check out the XMLSpy demos page for more videos and in-depth tutorials on the JSON Grid Editor, XPath and XSLT for JSON, comparing XML files, and more.
In a previous post we wrote that every data integration and reporting task needs to start with a clear understanding of the source data. Using grid view in XMLSpy, the industry-leading XML and JSON editor, we analyzed JSON data for 5-day weather forecasts retrieved from a Web service.
Continuing with our earlier scenario, we’ll use MapForce, the award-winning, graphical data mapping tool for any-to-any conversion and integration, to map the forecasts for a series of major cargo shipping ports into nicely formatted Excel documents. We’ll want to highlight any predicted high winds or heavy rainfall that could cause delays by interfering with cranes loading and unloading containers, or slowing ships entering and exiting the harbors.
Interested in finding something worthwhile and entertaining to teach your children for free while they are participating in remote learning at home? Why not teach them about computer programming. This is a skill that will serve them well in life no matter what path they take.
Software developers and other data professionals often need to examine new data instances before designing processes for efficient production. As JSON becomes a more popular format for data exchange, the tradeoff for smaller data payloads can be loss of clarity of the underlying data structure.
XMLSpy has supported viewing, modeling, and editing JSON files since 2010 and includes rich tools to analyze JSON data, including applying filters, formulas, and charts.
Programming Techniques for Mobile Development
MobileTogether is an easy to use, low-code app development framework that lets you create sophisticated apps for all platforms from a single design.
Low-code doesn’t mean no code. A database specialist might start with a few SQL queries and use the MobileTogether drag and drop interface to create an app with elegant tables and graphs to report up-to-the-minute enterprise data, while experienced developers often use familiar programming techniques in mobile development to build highly complex, elegant MobileTogether solutions.
Developers define user functions, parameters, variables, loops, or a complex data structure when that’s the right tool for the job. MobileTogether makes it fast and easy to control all the features in the device – camera, microphone, GPS, SMS, handwriting capture, and more. MobileTogether helps you achieve your vision fast and build really cool mobile apps with charisma enough to go viral.
MobileTogether is about getting the work done efficiently, not limiting how you do it. Let’s check out a couple examples of programming techniques in MobileTogether apps.
5 Reasons You Should Try SurveyMaker Today
The only thing better than taking a good survey perhaps is creating one yourself and watching the responses pour in. Surveys are one of those things you just need to use in various situations, whether it’s for customer feedback or to poll your friends on options for your next social distance get together. Though the need for surveys is clear, sometimes finding the right tool to use to create and disseminate your poll is not quite as straight forward.
Luckily, Altova has created SurveyMaker to help you create and analyze surveys easily, quickly, and without breaking the bank. What sets SurveyMaker apart from the rest of the options out there? First and foremost, SurveyMaker works on any device, making the transition from you creating a survey to people taking it really easy. Let’s take a look at some more reasons you should try SurveyMaker for your next survey project.
Validating Data Transformation
Software developers and other data professionals often need to transform data from one format to another. These transformations can be simple one-to-one conversions or may require more complex manipulation. For instance, relationships must be generated when importing flat CSV files into a database, or source data may need to be split for the target, as in full name vs. first, middle, last, and optional suffix. Validating data transformation is critical to prevent data loss or corruption.
In our recent post on Web service data integration combined a string value for GMT time with a numeric offset in seconds to generate the local time for weather forecasts. We created a user function that performed all the steps required to complete this operation. MapForce includes a powerful interactive data mapping debugger that can easily trace and validate this transformation. Let’s take a look at how it works.
Get to Know Your Favorite XML Editor Again [Video]
For more than a decade XMLSpy has been a leading choice for all things XML. But over the years we’ve broadened the scope by adding hundreds of new features, supported standards, and innovative tools to make development faster and easier.
This new overview video offers a quick, high-level look at the various tools and options available, including functionality for JSON, XPath/XQuery, HTTP testing, debugging, back-mapping, and more.
Check out the XMLSpy demos page for more videos and in-depth tutorials on the JSON Grid Editor, XPath and XSLT for JSON, comparing XML files, and more.
Get access to all these features by upgrading to the latest version of XMLSpy or downloading a free, 30-day trial.
Web Service Data Integration
In a previous post we wrote that every data integration and reporting task needs to start with a clear understanding of the source data. Using grid view in XMLSpy, the industry-leading XML and JSON editor, we analyzed JSON data for 5-day weather forecasts retrieved from a Web service.
Continuing with our earlier scenario, we’ll use MapForce, the award-winning, graphical data mapping tool for any-to-any conversion and integration, to map the forecasts for a series of major cargo shipping ports into nicely formatted Excel documents. We’ll want to highlight any predicted high winds or heavy rainfall that could cause delays by interfering with cranes loading and unloading containers, or slowing ships entering and exiting the harbors.
Teaching your child to code in the age of remote learning
Interested in finding something worthwhile and entertaining to teach your children for free while they are participating in remote learning at home? Why not teach them about computer programming. This is a skill that will serve them well in life no matter what path they take.
Analyze JSON Data with Filters, Formulas, and Charts in XMLSpy Grid View
Software developers and other data professionals often need to examine new data instances before designing processes for efficient production. As JSON becomes a more popular format for data exchange, the tradeoff for smaller data payloads can be loss of clarity of the underlying data structure.
XMLSpy has supported viewing, modeling, and editing JSON files since 2010 and includes rich tools to analyze JSON data, including applying filters, formulas, and charts.
Let’s take a look.