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Learn About OIM for XBRL


XBRL – the eXtensible Business Reporting Language – is a global framework for exchanging business information. The standard, maintained by XBRL International, is based on XML and designed to offer a standards-based approach to communicating and exchanging financial information between business systems.

The current version of the standard was finalized in 2003 and since then has received widespread uptake and eventual mandates from numerous countries and regulatory agencies, including the United States SEC. Adoption of the standard is due to advantages that include enabling automation and cost savings, better quality of reported data, improved analysis, and better quality of information used for decision making.

Despite its benefits, the complexity of XBRL presents a sharp learning curve for accountants and other stakeholders not familiar with XML, leading to errors and increased consultancy costs. In addition, coinciding with the adoption of big data technologies, XBRL has been used to represent ever growing datasets, which can be resource intensive.

XBRL International has worked over the years to modernize and simplify the standard in response to those challenges, and the Open Information Model (OIM) is an exciting and innovative solution.

Accountants learning about OIM XBRL
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Working with Avro Big Data in Your Favorite XML Editor


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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Job Distribution on FlowForce Server


FlowForce Server is Altova’s high-performance engine for automating workflows of XML processing, data integration, report generation, and more. It integrates with other Altova server software products to automate their functions, such as executing complex data integration processes, including ETL projects, designed in MapForce; running  StyleVision report generation jobs; or validating XML, XBRL, or JSON files with RaptorXML Server.

Starting with Version 2019, FlowForce Server offers new options for distributed execution and load balancing to improve availability and performance. Let’s take a look at how configuring multiple FlowForce Servers to run as a cluster can help improve data throughput and provide redundancy.

Job distribution for high availability on FlowForce Server

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The Only JSON Dev Tool You’ll Need


While XMLSpy might not be the first tool developers think of when they’ve got a JSON development task, XMLSpy includes comprehensive support for working with JSON, JSON Schema, and related technologies.

Over the past few product releases, we’ve added intelligent functionality for editing and converting JSON and JSON5 data to the product. 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. And, most recently, we’ve added support for processing JSON with XSLT,  XPath, and XQuery.

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.

Developer using JSON tool

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The Importance of Choosing Certified XBRL Tools 


Aside from complying with filing regulations, there are numerous benefits associated with adoption of the eXtensible Business Reporting Language. Standardizing information allows data validation as well as simplified comparison of reported data within an organization – from quarter to quarter or year to year, for instance – as well as comparing performance among multiple companies.

Of course, the benefits promised by XBRL  can only be realized through strict standards conformance in the tools organizations use for validating, reporting, and analyzing their XBRL data. Problems have arisen due to lack of consistent interoperability between software tools as well as less stringent validation checks that result in filing errors and diminished data quality.

Altova has always striven to deliver the closest possible conformance with supported XBRL standards and is honored to have received certification from multiple XBRL standards bodies, ensuring conformance and interoperability. Let’s take a look at the specifics and why this is so important for customers.

Financial pros using XBRL

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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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