Posts

The Only JSON Dev Tool You’ll Need


The popularity of JSON is ever-increasing, and XMLSpy is keeping pace. Over the past few product releases, we’ve added intelligent functionality for editing and converting JSON data to the product. Most recently, we’ve completed the circle with one-click conversion between XML Schemas and JSON Schemas, as well as sample instance generation and JSON Schema documentation generation.

Let’s walk through some common examples demonstrating this functionality – and see how these time-saving tools make XMLSpy the only JSON development tool you’ll need.

JSON Dev Tools

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Working with Avro Big Data in Your Favorite XML Editor


With every release, we add support in XMLSpy for technologies that developers encounter everyday – even when they’re not XML-based.

Today, Big Data trends have developers working with XML alongside other data protocols such as JSON and Apache Avro, and XMLSpy supports both of these with dedicated editing views and functionality.

Let’s see how specialized Avro support in XMLSpy makes visualizing and searching Avro files, as well as editing Avro schemas, uniquely easy. We’ll also look at some of the advantages of utilizing RaptorXML Server for high-performance Avro processing.

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Big Data, Database, and XBRL Tools Get a Huge Boost


It’s time for the latest release of Altova’s MissionKit and server software products, and this one delivers a huge boost in functionality for working with big data, databases, XBRL, and much more.

With support for Apache Avro in multiple products, additional databases and drivers across the product line, and two new XBRL specifications in developer and server products, plus a new way to build and process PDF forms, Version 2017 connects all the data dots.

What will be your favorite new feature? Let’s take a look.

Big Data Support

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How to Get Server Processing Speeds Inside your IDE


Nothing interrupts the flow of development like waiting for a collection of files to transform – yet this step is unavoidable when writing, testing, and debugging XSLT and XQuery code.

In addition to offering the XSL Speed Optimizer, we’ve worked hard over the years to make sure the processor in XMLSpy is as fast as possible. As quick as it is today, it’s still limited to a single core execution on the CPU in your development machine – well, not any more.

 

Servers

 

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Financial Analysis of XBRL Corporate Filings on Mobile Devices


In a previous blog post we’ve described some of the problems that are encountered when processing corporate filings from the SEC’s EDGAR database  in XBRL. Today we present a system that overcomes these issues by downloading and processing XBRL filings on a daily basis, normalizing the financial data, computing common financial ratios, storing all data into a SQLite database, and then presenting the corporate reporting data for financial analysis through a mobile app for iOS, Android, and Windows Phone.

We are making all the sources for the data ingestion and normalization process available as Python scripts on GitHub under an Apache 2.0 license. The actual normalization rules as well as the financial ratios being computed are defined in external JSON files that can easily be modified without the need to edit the Python sources. In addition the MobileTogether Design file describing the mobile app is also available as open source in the same repository on GitHub so the mobile application can be easily customized as well to graph different data, show other financial ratios, or do more sophisticated financial analysis.

SECdb Process Diagram

 

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XBRL Example Files on GitHub


Did you know that Altova has a sample source code repository on GitHub? We are building this out based on customer requests, and at the moment we’ve posted a collection of XBRL example files, code snippets, and Python scripts for working with XBRL data, including instructions for accessing and processing the vast amount of data from filing companies available on the SEC web site, as well as some essential tools for performing validation on EDGAR filing data.

Here are some details on what you can find there.

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Foolproof, Fast, and Flexible XML Validation Options


The most recent few releases of XMLSpy included some pretty powerful speed increases for validations jobs, achieved by strengthening synergy between Altova products. Now, developers using XMLSpy can take advantage of RaptorXML Servers installed on their network for the processing of large or complex XML, XBRL, and project-based validation jobs – directly inside the XML editor.

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The XML validator in XMLSpy is powered by the Altova RaptorXML validation engine, which already provides the closest possible standards conformance coupled with fast validation speeds. However, the validation rates achieved are still limited to single-core execution on the CPU available in the developer’s machine.  RaptorXML Server, on the other hand, benefits from the substantial increase in processing power afforded by multi-CPU, multi-core servers for increased throughput and more efficient memory utilization.

What does this mean for you? Let’s take a look at some of the advantages of connecting XMLSpy to RaptorXML Server.
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