With　the　growing　demand　of　applicational　support　for　various　kinds　of　tourism　applications,　this　study　aims　to　apply　big　data　on　the　tourism　industry　and　build　applications　for　tourism　resources　that　support　the　distributed　storage,　parallel　computing,　application　analysis,　data　information　sharing　and　interaction　that　support　the　census　data　of　tourism　resources.　Deeper　data　support　for　the　project　of　constructing　tourism　census　database　is　provided　by　the　big　data　support　platform.　Advanced,　efficient　and　scientific　platform　environment　of　storage,　calculation　and　analysis　of　the　resources　is　also　provided　for　escorting　the　goal　of　developing　the　entire-region　tourism　and　building　Guizhou　as　a　world-famous　tourism　destination.　Cloud　computing　provides　fundamental　support　to　address　the　challenges　with　shared　computing　resources　including　computing,　storage,　networking　and　analytical　software.　The　application　of　these　resources　has　fostered　impressive　big　data　advancements.　©　2018　IEEE.