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[其他] Big Data, Database, and XBRL Tools Get a Huge Boost

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乡间河太急 发表于 2016-10-5 01:01:02
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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, Database, and XBRL Tools Get a Huge Boost-1 (additional,completely,databases,developer,software)

  Modernized Find/Replace Functionality

  Perhaps the most immediate productivity gain in this latest release comes to us in XMLSpy for working in Text View. We’ve completely redesigned and modernized the Find dialog and added powerful new features.

Big Data, Database, and XBRL Tools Get a Huge Boost-2 (additional,completely,databases,developer,software)

  The new, modeless dialog stays open as you work, highlighting all instances of a search term immediately, as you type, allowing you to identify and navigate to each instance much more quickly than before. You can now search within a selection or even select a string of text to instantly highlight all instances throughout your document – with indications of all the matches both in Text View and also on the scrollbar.
  All the powerful advanced features of the Find dialog are still available, of course, including filtering by granular criteria (element/attribute names, content, etc.) and searching with regular expressions.
  Apache Avro Tools

   Visualizing, Validating, and Editing and Avro
  Apache Avro™ enjoys wide use as a compact, fast binary serialization format for Big Data, especially within the Hadoop framework. Despite this prevalence, however, there’s long been an unfilled need for working with binary Avro data in a user-friendly way. Enter XMLSpy 2017.
   With the newAvro View, you can get an immediate visualization of binary data structures in an easy-to-read tabular format.
  Because Avro files are extremely large, a Blocks pane organizes the data into groups, which you can view with a click. Avro View also supports searching through these huge files of data at lightning speed.
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SaratasEn 发表于 2016-10-5 03:16:49
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