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Infinite Craft Recipes

How to Make Big Data Has in Infinite Craft

Big Data Has is a long haul. Even on the shortest known route it takes 44 combinations to get there, and the final one is Big Data plus Past Tense. Expect to build several intermediate elements you will never use again.

The final combination

Big DataPast TenseBig Data Has

Marathon44 steps from the base elementscrafting depth 602 known recipes

Full crafting path from the base elements

Start with Water, Fire, Wind and Earth, then follow these 44 combinations in order.

  1. 1FireWaterSteam
  2. 2FireSteamEngine
  3. 3EngineSteamTrain
  4. 4SteamTrainLocomotive
  5. 5EarthWindDust
  6. 6DustEarthPlanet
  7. 7FirePlanetSun
  8. 8PlanetSunSolar System
  9. 9LocomotiveSolar SystemStar Trek
  10. 10Star TrekWaterStar Trek: The Next Generation
  11. 11EarthStar Trek: The Next GenerationData
  12. 12EarthSteamMud
  13. 13FireMudBrick
  14. 14BrickWindHouse
  15. 15DataHouseBig Data
  16. 16DustFireAsh
  17. 17WaterWindWave
  18. 18EarthWaveSand
  19. 19FireSandGlass
  20. 20GlassSandHourglass
  21. 21FireHourglassTime
  22. 22AshTimeHistory
  23. 23GlassSteamMirror
  24. 24HistoryMirrorPast
  25. 25FireWindSmoke
  26. 26SmokeWaterFog
  27. 27EarthWaterPlant
  28. 28FogPlantMushroom
  29. 29EarthMushroomToadstool
  30. 30PlantWindDandelion
  31. 31DandelionPlantWeed
  32. 32ToadstoolWeedMagic Mushroom
  33. 33DustWindSandstorm
  34. 34SandstormWaterOasis
  35. 35OasisPlantDate
  36. 36DateWaterDating
  37. 37DatingEarthMarriage
  38. 38EarthMarriageDivorce
  39. 39DandelionDustWish
  40. 40WaterWishGenie
  41. 41DivorceGenieSingle
  42. 42Magic MushroomSingleTriple
  43. 43PastTriplePast Tense
  44. 44Big DataPast TenseBig Data Has
Crafting tree
1Fire + Waterโ†’ Steam2Fire + Steamโ†’ Engine3Engine + Steamโ†’ Train4Steam + Trainโ†’ Locomotive5Earth + Windโ†’ Dust6Dust + Earthโ†’ Planet7Fire + Planetโ†’ Sun8Planet + Sunโ†’ Solar System9Locomotive + Solar Systemโ†’ Star Trek10Star Trek + Waterโ†’ Star Trek: The Next Generation11Earth + Star Trek: The Next Generationโ†’ Data12Earth + Steamโ†’ Mud13Fire + Mudโ†’ Brick14Brick + Windโ†’ House15Data + Houseโ†’ Big Data16Dust + Fireโ†’ Ash17Water + Windโ†’ Wave18Earth + Waveโ†’ Sand19Fire + Sandโ†’ Glass20Glass + Sandโ†’ Hourglass21Fire + Hourglassโ†’ Time22Ash + Timeโ†’ History23Glass + Steamโ†’ Mirror24History + Mirrorโ†’ Past25Fire + Windโ†’ Smoke26Smoke + Waterโ†’ Fog27Earth + Waterโ†’ Plant28Fog + Plantโ†’ Mushroom29Earth + Mushroomโ†’ Toadstool30Plant + Windโ†’ Dandelion31Dandelion + Plantโ†’ Weed32Toadstool + Weedโ†’ Magic Mushroom33Dust + Windโ†’ Sandstorm34Sandstorm + Waterโ†’ Oasis35Oasis + Plantโ†’ Date36Date + Waterโ†’ Dating37Dating + Earthโ†’ Marriage38Earth + Marriageโ†’ Divorce39Dandelion + Dustโ†’ Wish40Water + Wishโ†’ Genie41Divorce + Genieโ†’ Single42Magic Mushroom + Singleโ†’ Triple43Past + Tripleโ†’ Past Tense44Big Data + Past Tenseโ†’ Big Data Has

Other ways to make Big Data Has

2 combinations are known to produce Big Data Has. Here are 2 of them.

Alternative combinations that produce Big Data Has
FirstSecondResult
Big DataPast TenseBig Data Has
Big DataPast tenseBig Data Has

Big Data Has at a glance

Steps to craft
44
Marathon
Crafting depth
60
longer than 98% of solved elements
Known recipes
2
ways to make it
Used in
0
other combinations

Other elements that take 44 steps

Similar effort to Big Data Has, if you want something else to chase.

Frequently asked questions

How do you make Big Data Has in Infinite Craft?

Combine Big Data with Past Tense. The full path from the base elements takes 44 steps.

How many steps does it take to make Big Data Has?

44 steps on the shortest known path from Water, Fire, Wind and Earth.

Is Big Data Has hard to make in Infinite Craft?

It rates as marathon. At 44 steps it is longer than 98% of solved elements.

Is there more than one way to make Big Data Has?

Yes. 2 combinations are known to produce Big Data Has, and the shortest route is shown above.

Path verified against the open recipe graph on . Method described in our methodology, data credited on data sources.