Welcome!

Java IoT Authors: Liz McMillan, Elizabeth White, Yeshim Deniz, Zakia Bouachraoui, Pat Romanski

Related Topics: Microsoft Cloud, Industrial IoT

Microsoft Cloud: Article

DataDirect Data Integration Suite Features XQuery 4.0, XML Converters and Stylus Studio 2009

Suite eases XML data integration

DataDirect announced the latest release of the DataDirect Data Integration Suite featuring new versions of its XML-based component technologies for data integration in traditional and service-oriented environments. Designed to meet the data transformation and aggregation needs of developers, the DataDirect Data Integration Suite contains the latest product releases of DataDirect XQuery, DataDirect XML Converters (Java and .NET) and Stylus Studio in one simple, highly flexible and robust installation.

The latest version of the DataDirect Data Integration Suite boasts new features and functionality to help maximize developer productivity, reduce the need for manual coding and accelerate the delivery of mission-critical information to enterprise applications and end-users.

DataDirect XQuery 4.0
DataDirect XQuery is an XQuery processor that enables developers to access and query XML, relational data, Web services, EDI, legacy, or a combination of data sources. New to version 4.0 is full support for the XQuery Update Facility (XUF) - an extension of the XQuery language that allows making changes to data manipulated inside the XQuery. Now developers can update individual XML documents, XML streams, and file collections from within their XQuery applications. The product also includes the ability to update and create Zip files, supporting the OpenOffice XML format.

These new performance features and the new Web services support and streaming and document projection enhancements found in DataDirect XQuery 4.0 allow developers to build and deploy applications more quickly and efficiently by dramatically simplifying the combining and processing of heterogeneous data sources and varied data formats.

For the complete release highlights click here.

DataDirect XML Converters 4.0
DataDirect XML Converters are high-performance Java and .NET components that provide developers with a scalable product for converting between EDI and other legacy formats and ready-to-use XML.

The latest release of the DataDirect XML Converters are reported as fully compatible with Microsoft BizTalk Server 2006 and are integrated in the Microsoft BizTalk development environment for the streamlined use of XML Converters in the .NET environment.

For healthcare organizations needing to comply with the X12 electronic data interchange (EDI) standards and the latest Health Insurance Portability and Accountability Act (HIPAA) 5010 transaction definitions, the DataDirect XML Converters now include support for the HIPAA EDI dialects including 004010A1, 005010 and 005010A1 messages.

Further enhancements found in version 4.0 include the ability to handle Standard Exchange Format (SEF) extensions and EDI customizations to make managing XML conversion even easier. Click here to learn more.

Stylus Studio 2009 XML Enterprise Suite
Stylus Studio, the XML Integrated Development Environment (IDE), features new XML productivity tools designed to further simplify and automate frequently encountered programming and data integration tasks.

Stylus Studio 2009 has a new EDI to XML module that works with DataDirect XML Converters to further enhance ease-of-use. Users can now load EDI documents to view contents, test conversions, create customizations and preview XML. The IDE also features a new EDI to XQuery document wizard and EDI to XSD document wizard that allows users to create XQuery and generate XML schema based on any of the EDI dialects supported by the DataDirect XML Converters that are bundled with Stylus Studio. Click here for the complete release.

More Stories By XML News Desk

The XML-Journal News Desk monitors the world of XML and SOA /Web services to present IT professionals with updates on technology advances and business trends, as well as new products and standards.

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...