# Import the required ArcGIS API for Python modules
import arcgis
from arcgis.gis import GIS
# Connect to your ArcGIS Enterprise portal and check that GeoAnalytics is supported
portal = GIS("https://myportal.domain.com/portal", "gis_publisher", "my_password", verify_cert=False)
if not portal.geoanalytics.is_supported():
    print("Quitting, GeoAnalytics is not supported")
    exit(1)   
# Find the big data file share dataset you're interested in using for analysis
search_result = portal.content.search("", "Big Data File Share")
# Look through search results for a big data file share with the matching name
bd_file = next(x for x in search_result if x.title == "bigDataFileShares_CensusBlocks")
# Look through the big data file share for IllinoisBlocks and WisconsinBlocks
il_block = next(x for x in bd_file.layers if x.properties.name == "IllinoisBlocks")
wi_block = next(x for x in bd_file.layers if x.properties.name == "WisconsinBlocks")
# Define merge attributes so that the field "State_Code" is matched to the field "statecode"
merge_info = [{"mergeLayerField" : "State_Code", "mergeType" : "Match", "mergeValue" : "statecode"}]
# Run the tool Merge Layers
merge_result = arcgis.geoanalytics.manage_data.merge_layers(input_layer = il_block, 
                                                            merge_layer = wi_block,
                                                            merge_attributes = merge_info,
                                                            output_name = "IL_WI_Census_Blocks")
# Visualize the tool results if you are running Python in a Jupyter Notebook
processed_map = portal.map()
processed_map.add_layer(merge_result)
processed_map