How to Use DataSmith Exporter for SketchUp Pro

Datasmith is an assortment of tools and plugins that bring whole pre-developed scenes and complex resources made in an assortment of industry-standard design applications into Unreal Engine. Datasmith is designed to illuminate the particular difficulties looked by individuals outside of the game business who need to utilize the Unreal Engine for ongoing delivering and representations — in ventures including design, engineering, development, fabricating, live preparing, and then some.

Be that as it may, it additionally might bear some significance with game engineers who share comparable issues in their advantage pipelines.

What is DataSmith?

Datasmith has some yearning objectives:

• To bring whole pre-developed scenes and complex congregations into Unreal, paying little heed to how enormous, thick or weighty those scenes might be. As opposed to driving you to deconstruct your scenes and gatherings into singular lumps, at that point pass each piece to the game engine independently through a FBX import pipeline, at that point re-collect the scene in the Unreal Editor, Datasmith re-utilizes the advantages and formats that you've just worked for different purposes in other design tools.
• To help the most stretched out conceivable scope of 3D design applications and file formats. It as of now works with a colossal assortment of sources, including Autodesk 3ds Max, Trimble Sketchup, Dassault Systèmes SolidWorks, and more with each delivery. 
• To deal with the precarious issue of acquiring changes that get made in source material that you've just imported, without expecting you to re-accomplish all the work that you've done to those Assets in Unreal.

Right now, Datasmith is centered around making an interpretation of your design content into structures that Unreal Engine can comprehend and deliver continuously. Longer-term, the point is to include more keen information readiness, fitting the imported substance for most extreme runtime execution in the game engine, and including more intelligent runtime practices.