With the right tools, a low code approach to development doesn’t mean a sacrifice of functionality or sophistication of the end result. On the contrary, low code app development frameworks like MobileTogether make advanced programming functionality more accessible and faster to implement.
Whether you’re building apps for iOS, Android, Windows, the web – or all of the above – the latest release of MobileTogether adds a mix of features that elevate programming on the platform to the next level and give developers easy access to the latest mobile device trends.
CSV files are a quick and convenient way to record structured
data in a generic format. Because CSV files are so easy to create, multiple
similar versions of very large CSV files can quickly proliferate. Often it
becomes necessary to compare CSV files to find the desired version. In an ETL
(Extract Transform Load) scenario, a data analyst may want to compare a CSV
file to a database table for validation or to update data.
DiffDog, the unique XML-aware diff / merge tool from Altova, supports CSV as a native file format for comparison and can compare and selectively merge data CSV to CSV, or between a CSV file and database table. Let’s look at an example.
Altova XMLSpy and MapForce JSON tools have long supported
JSON and JSON5 for editing and data mapping. As new JSON formats arise in
response to real-world usage, the support in these tools is expanding.
This article will help explain the advantages of two newer formats – JSON with Comments and JSON Lines – and show how to use them in XMLSpy and MapForce.
XBRL (eXtensible Business Reporting Language) is an open,
XML-based standard for the electronic submission of business and financial
data. Though XBRL specifies what data must be reported and provides a
standardized way of doing so, companies and regulatory agencies need a way of
ensuring data quality through business rule validation. XULE is one method that
is growing in popularity.
Let’s take a look at what XULE is and how it works.
We’re introducing several exciting new tools for JSON
development in Altova Software Version 2020, but there’s much more too. Support
for the XULE XBRL standard, comparing CSV against database content, and updated
database support are just a few of the new features introduced across the
product line.
In an earlier post we described how to integrate
maps into cross-platform mobile apps with each end-user device’s native map
application. Our example app generated a map with pins locating major airports
in the United States. Illustrations showed maps generated by the same app on an
Android phone, an iPhone, and Windows desktop.
What if a list of locations to be mapped is not known in advance, but generated based on user activity at run-time? MobileTogether, the low-code cross-platform mobile development tool from Altova, also empowers developers to build custom maps in mobile apps on the fly based on a list of geolocations generated at run time.
Prior to starting at Altova I had zero experience with both XPath and XQuery. The first task I was presented with was to train myself on both query languages as quickly as possible and produce a concise video tutorial. It was important to develop a thorough understanding of their features and capabilities because both languages are integral to app development in MobileTogether and querying data in XMLSpy. I started with a strong background in SQL, learning XPath and XQuery by building queries first in SQL, and then determining how to replicate them in both query languages.
Accelerate Low Code App Development with MobileTogether 6.0
With the right tools, a low code approach to development doesn’t mean a sacrifice of functionality or sophistication of the end result. On the contrary, low code app development frameworks like MobileTogether make advanced programming functionality more accessible and faster to implement.
Whether you’re building apps for iOS, Android, Windows, the web – or all of the above – the latest release of MobileTogether adds a mix of features that elevate programming on the platform to the next level and give developers easy access to the latest mobile device trends.
How to Compare CSV Files or Compare a CSV File to a Database Table
CSV files are a quick and convenient way to record structured data in a generic format. Because CSV files are so easy to create, multiple similar versions of very large CSV files can quickly proliferate. Often it becomes necessary to compare CSV files to find the desired version. In an ETL (Extract Transform Load) scenario, a data analyst may want to compare a CSV file to a database table for validation or to update data.
DiffDog, the unique XML-aware diff / merge tool from Altova, supports CSV as a native file format for comparison and can compare and selectively merge data CSV to CSV, or between a CSV file and database table. Let’s look at an example.
Tools for JSON Comments and JSON Lines
Altova XMLSpy and MapForce JSON tools have long supported JSON and JSON5 for editing and data mapping. As new JSON formats arise in response to real-world usage, the support in these tools is expanding.
This article will help explain the advantages of two newer formats – JSON with Comments and JSON Lines – and show how to use them in XMLSpy and MapForce.
Learn about XULE for XBRL
XBRL (eXtensible Business Reporting Language) is an open, XML-based standard for the electronic submission of business and financial data. Though XBRL specifies what data must be reported and provides a standardized way of doing so, companies and regulatory agencies need a way of ensuring data quality through business rule validation. XULE is one method that is growing in popularity.
Let’s take a look at what XULE is and how it works.
Version 2020 Revolutionizes JSON Editing
We’re introducing several exciting new tools for JSON development in Altova Software Version 2020, but there’s much more too. Support for the XULE XBRL standard, comparing CSV against database content, and updated database support are just a few of the new features introduced across the product line.
Let’s take a look at the highlights.
Build Custom Maps in Mobile Apps
In an earlier post we described how to integrate maps into cross-platform mobile apps with each end-user device’s native map application. Our example app generated a map with pins locating major airports in the United States. Illustrations showed maps generated by the same app on an Android phone, an iPhone, and Windows desktop.
What if a list of locations to be mapped is not known in advance, but generated based on user activity at run-time? MobileTogether, the low-code cross-platform mobile development tool from Altova, also empowers developers to build custom maps in mobile apps on the fly based on a list of geolocations generated at run time.
XPath & XQuery Tutorial for SQL Pros (Video)
Prior to starting at Altova I had zero experience with both XPath and XQuery. The first task I was presented with was to train myself on both query languages as quickly as possible and produce a concise video tutorial. It was important to develop a thorough understanding of their features and capabilities because both languages are integral to app development in MobileTogether and querying data in XMLSpy. I started with a strong background in SQL, learning XPath and XQuery by building queries first in SQL, and then determining how to replicate them in both query languages.
Read more…