diff --git a/headat/lib/constants.py b/headat/lib/constants.py
index 0b1fdfd..19d51f8 100644
--- a/headat/lib/constants.py
+++ b/headat/lib/constants.py
@@ -36,14 +36,14 @@
         "method": "to_latex"
     },
     "parquet": {
-        "extension": "pqt",
+        "extension": "parquet",
         "method": "to_parquet"
     },
     "pickle": {
-        "extension": "pkl",
+        "extension": "pickle",
         "method": "to_pickle"
     },
-    "sqlite": {
+    "sql": {
         "extension": "db",
         "method": "to_sql"
     },
diff --git a/headat/lib/functions.py b/headat/lib/functions.py
index 3df9b61..b614559 100644
--- a/headat/lib/functions.py
+++ b/headat/lib/functions.py
@@ -1,6 +1,7 @@
 from .constants import *
 import datetime
 import os
+import scipy.io
 import warnings
 # Export routine to LaTeX generate a FutureWarning which has to be silenced
 warnings.simplefilter(action='ignore', category=FutureWarning)
diff --git a/headat/main.py b/headat/main.py
index c0726c1..21aac4c 100644
--- a/headat/main.py
+++ b/headat/main.py
@@ -319,6 +319,46 @@ def t_tex(self, **kwargs) -> bool:
         except:
             return False
 
+    def t_parquet(self, **kwargs) -> bool:
+        """
+        Function converting the record to the Apache Parquet format
+        :rtype: bool
+        :return: Boolean set to True if conversion has been successfully performed
+        """
+        # Gathering the details concerning the specified format
+        df, method, filename = self.get_conversion_details("parquet")
+        cl_m = eval(f"df.{method}")
+        try:
+            cl_m(filename, **kwargs)
+            return True
+        except:
+            return False
+
+    def t_pickle(self, **kwargs) -> bool:
+        """
+        Function converting the record to the Pickle (standard serialization) format
+        :rtype: bool
+        :return: Boolean set to True if conversion has been successfully performed
+        """
+        # Gathering the details concerning the specified format
+        df, method, filename = self.get_conversion_details("pickle")
+        cl_m = eval(f"df.{method}")
+        try:
+            cl_m(filename, **kwargs)
+            return True
+        except:
+            return False
+
+    def t_sql(self, **kwargs) -> bool:
+        """
+        Function converting the record to a database format supported by SQLAlchemy
+        :rtype: bool
+        :return: Boolean set to True if conversion has been successfully performed
+        """
+        # TODO
+        pass
+
+
     # ----------------------------------------------------------------
     #                           GENERIC METHODS
 
diff --git a/requirements.txt b/requirements.txt
index ed8e787..9d7a774 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,4 +1,5 @@
 openpyxl
 pyarrow
 tabulate
-fastparquet
\ No newline at end of file
+fastparquet
+SQLAlchemy
\ No newline at end of file
diff --git a/test.py b/test.py
index beb5b7b..21f53a7 100644
--- a/test.py
+++ b/test.py
@@ -15,4 +15,6 @@
 a.t_json()
 a.t_xml()
 a.t_md()
-a.t_tex()
\ No newline at end of file
+a.t_tex()
+a.t_parquet()
+a.t_pickle()
\ No newline at end of file