diff --git a/healthcareio/x12/export/__init___.py b/healthcareio/x12/export/__init___.py
deleted file mode 100644
index 1cb5dc9..0000000
--- a/healthcareio/x12/export/__init___.py
+++ /dev/null
@@ -1,36 +0,0 @@
-__doc__ = """"
-This module is designed to perform exports to a relational data stores, We have 2 methods to infer structure possible :
-1. learn structure from the data 
-2. use template:    fast, but may not generalize
-Note that the There are two possible methods to perform relational exports
-"""
-# import transport
-# from transport import providers
-# # from healthcareio.x12 import plugins, util
-# print ('hello world')
-# class Mode :
-#     TEMPLATE,LEARN = [0,1]
-# def build ():
-#     pass
-# class Template :
-#     """
-#     This class is intended to generate a set of SQL Instructions to to create the tables 
-#     """
-#     @staticmethod
-#     def build (**_args):
-#         """
-#         This function will build SQL statements to create a table (perhaps not needed)
-#         :plugins    loaded plugins
-#         :x12        837|835 file types
-#         """
-#         _plugins=_args['plugins']
-#         _x12 = _args['x12']
-#         _template = util.template(plugins=_plugins)[_x12]
-#         _primaryKey = util.getPrimaryKey(plugins=_plugins,x12=_x12)
-#         _tables = []
-#         for _item in _template :
-#             if _primaryKey not in _item :
-#                 _item[_primaryKey] = ''
-#                 _tables.append(_item)
-#         return _tables    
-
diff --git a/healthcareio/x12/publish.py b/healthcareio/x12/publish.py
new file mode 100644
index 0000000..6438925
--- /dev/null
+++ b/healthcareio/x12/publish.py
@@ -0,0 +1,154 @@
+import copy
+from . import util
+import transport
+import numpy as np
+import time
+import pandas as pd
+from multiprocessing import Process
+
+def build (**_args):
+    """
+    This function will build SQL statements to create a table (perhaps not needed)
+    :plugins    loaded plugins
+    :x12        837|835 file types
+    """
+    _plugins=_args['plugins']
+    _x12 = _args['x12']
+    _template = util.template(plugins=_plugins)[_x12]
+    _primaryKey = util.getPrimaryKey(plugins=_plugins,x12=_x12)
+    _tables = []
+    _main = {}
+    for _name in _template :
+        _item = _template[_name] #copy.deepcopy(_template[_name])
+        if _primaryKey not in _item and type(_item) == dict:
+            _item[_primaryKey] = ''
+            _tables.append({_name:_item})
+        else:
+            _main[_name] = ''
+
+    _name = getContext(_x12)
+    _tables += [{_name:_main}]
+    _template[_name] = _main
+
+    return _template #_tables    
+def getContext(_x12) :
+    return 'claims' if _x12 == '837' else 'remits'    
+def format(**_args) :
+    """
+    :rows           rows for the 
+    :primary_key    primary_key field name
+    :x12            file format
+    """
+
+    # _name   = _args['table']
+    _rows   = _args['rows']
+    
+    _primary_key = _args['primary_key']
+    _x12    = _args['x12']
+    _mainTableName = getContext(_x12)
+    _tables = {_mainTableName:[]}
+    
+    for _claim in _rows :
+    #     #
+    #     # Turn the claim into a relational model ...
+    #     #
+        _main = {}
+        _pkvalue = None
+        if _primary_key in _claim :
+            _pkvalue = _claim[_primary_key]
+        
+        for _attrName in _claim :
+            _item = _claim[_attrName]
+            _item = update(_item,_primary_key,_pkvalue)
+            
+            if _attrName not in _tables and type(_item) in [dict,list]:
+                _tables[_attrName] = []
+            if type(_item) in [dict,list] :
+                _tables[_attrName] += _item if type(_item) == list else [_item]
+            else:
+                #
+                # This section suggests we found a main table attribute
+                _main[_attrName] = _item
+        _tables[_mainTableName].append(_main)  
+    
+    return _tables
+def update (_item,key,value):
+    if type(_item) not in [dict,list] :
+        return _item
+    if type(_item) == dict :
+        _item[key] = value
+    else:
+        #
+        # List, we will go through every item and update accordingly 
+        _index = 0
+        for _row in _item :
+            if type(_row) == dict :
+                _row['_index'] = _index 
+                _row[key] = value
+    return _item
+def init(**_args):
+    """
+    This function will kick off the export process provided claims/remits and the loaded plugins (not sure why)
+    It requires the data it is pulling to be consistently formatted (otherwise nothing can be done)
+    :plugins
+    :store      data store information i.e {source,target} specifications for data-transport
+    :x12        file type i.e 837|835
+    """
+    _file_type = _args['x12']
+    _plugins = _args['plugins']
+    _store = _args['store']
+    _default = build(plugins=_plugins,x12=_file_type)
+    
+    _df = read(store = _store['source'],x12=_file_type)
+    
+    _pkey = util.getPrimaryKey(plugins = _plugins, x12=_file_type)
+    SEGMENTS = 4    # arbitrary choice
+    _indexes = np.array_split(np.arange(_df.shape[0]),SEGMENTS)
+    jobs = []
+    for _ii in _indexes :
+        
+       _data = format(rows= _df.iloc[_ii].to_dict(orient='records'),x12=_file_type,primary_key=_pkey)
+       
+       _thread = Process(target=post,args=({'store':_store['target'],'data':_data,'default':_default},))
+       jobs.append(_thread)
+    if jobs :
+        jobs[0].start()
+        jobs[0].join()
+        while jobs :
+            jobs = [thread for thread in jobs if thread.is_alive()]
+            time.sleep(1)
+
+def read (**_args):
+    _store = copy.copy(_args['store'])
+    _x12 = _args['x12']
+    _store['table'] =  getContext(_x12) #'claims' if _x12 == '837' else 'remits'
+    reader = transport.factory.instance(**_store)
+    #
+    # @TODO: reading should support streaming (for scalability)
+    _df = reader.read()
+    
+    return _df
+
+def post(_args):
+    _data = _args['data']
+    _store = _args['store']
+    _default = _args['default']
+    
+    for _name in _data :
+        _store['table'] = _name
+        _store['context']='write'
+        writer = transport.factory.instance(**_store)
+        if len(_data[_name]) == 0 and _name in _default:
+           _rows = [_default[_name]]
+        else:
+            _rows = _data[_name]
+        
+        
+        writer.write(_rows)
+        if hasattr(writer,'close') :
+            writer.close()
+        
+    # _xwriter = trasnport.factory.instance(**_store)
+    # _xwriter.write(_df)
+    # _info = format()
+    pass