DSCVR 0.5 Release Notes

DSCVR 0.5 Release Notes


Key features in this release


Teams, Sharing, and Collaboration

  • Users can now form teams to share tables and workbooks with each other
  • If your clients would like to form a team follow these instructions: https://drive.google.com/file/d/1IPkk4pxSxKqtDfj_YLXmf-4w0zDugsse/view
  • Files placed in the user’s personal folder can be shared to be viewed by other members of a team
  • Files placed in the team folder can be viewed and edited by anyone in the team
  • Folders of other users in a team are hidden unless an object from that folder is shared with the user to provide a clean object manager view

Object management

  • Users can create folders in their personal or team directories
  • Folders, tables, and workbooks can now be moved, deleted, and renamed
  • The object manager now has a right click menu to interact with objects
  • The object details right-hand panel now has a ‘more actions’ menu
  • Users can edit the object permissions from within the object details panel
  • A bug was fixed that prevented users from opening folders after searching for them

New Visualizations

  • Added support for pie chart
  • Added support for scatter plot
  • Added a new combination chart feature where users can create charts which combine line, bar, and scatter plots into one visualization


Upload Improvements

  • Users can now specify an ingest format and a 1010data display format.  The ingest format is the format of the data as it appears in the source file being uploaded into DSCVR.  The display format is how the column will be displayed in DSCVR once it is uploaded.
  • The upload process detects several new date formats and correctly uploads them into 1010data formats automatically
  • Users can set the sharing permissions of a file during upload

Tabelau Export

  • DSCVR now integrates with tableau to create great visualizations.  Users can download the output of a worksheet as a .tde file to work with in tableau.


DBM4 Metadata Database

  • The metadata database stores information on tables, workbooks, and columns.  Users interact with the metadata database through their object manager in DSCVR
  • Dbm4 has a significantly smaller memory footprint, and is therefore more agile, faster
  • Dbm4 has a distributed metadata model, which in combination with shared s3 storage, makes user's environments far more flexible, portable, and easier to configure for shared and managed data.
  • Dbm4 has advanced authorization features which makes it more secure than the previous version and allows to build and configure teams