diff --git a/ibis/backends/duckdb/compiler/values.py b/ibis/backends/duckdb/compiler/values.py
index b1cef43daea29..72afbcb9909b2 100644
--- a/ibis/backends/duckdb/compiler/values.py
+++ b/ibis/backends/duckdb/compiler/values.py
@@ -542,8 +542,8 @@ def _levenshtein(op, **kw):
     ops.NullIf: "nullIf",
     ops.MapContains: "mapContains",  # TODO
     ops.MapLength: "length",
-    ops.MapKeys: "mapKeys",  # TODO
-    ops.MapValues: "mapValues",  # TODO
+    ops.MapKeys: "map_keys",
+    ops.MapValues: "map_values",
     ops.MapMerge: "mapUpdate",  # TODO
     ops.ArraySort: "list_sort",
     ops.ArrayContains: "has",
@@ -650,7 +650,6 @@ def _in_column(op, **kw):
 ### LITERALLY
 
 
-# TODO: need to go through this carefully
 @translate_val.register(ops.Literal)
 def _literal(op, **kw):
     value = op.value
@@ -681,7 +680,14 @@ def _literal(op, **kw):
             )
 
         # TODO: handle if `value` is "Infinity"
-
+        # precision = sg.expressions.DataTypeParam(
+        #     this=sg.expressions.Literal(this=f"{precision}", is_string=False)
+        # )
+        # scale = sg.expressions.DataTypeParam(
+        #     this=sg.expressions.Literal(this=f"{scale}", is_string=False)
+        # )
+        # need sg.expressions.DataTypeParam to be available
+        # ...
         return f"{value!s}::decimal({precision}, {scale})"
     elif dtype.is_numeric():
         if math.isinf(value):
@@ -734,7 +740,7 @@ def _literal(op, **kw):
     elif dtype.is_map():
         value_type = dtype.value_type
         values = ", ".join(
-            f"{k!r}, {_literal(ops.Literal(v, dtype=value_type), **kw)}"
+            f"[{k!r}, {_literal(ops.Literal(v, dtype=value_type), **kw)}]"
             for k, v in value.items()
         )
         return f"map({values})"
@@ -1198,6 +1204,10 @@ def _map(op, **kw):
     keys = translate_val(op.keys, **kw)
     values = translate_val(op.values, **kw)
     typ = serialize(op.dtype)
+    breakpoint()
+    sg_expr = sg.expressions.Map(keys=keys, values=values)
+    breakpoint()
+    return sg_expr
     return f"CAST(({keys}, {values}) AS {typ})"
 
 
@@ -1481,7 +1491,8 @@ def _array_map(op, **kw):
 def _array_filter(op, **kw):
     arg = translate_val(op.arg, **kw)
     result = translate_val(op.result, **kw)
-    return sg.func("list_filter", arg, f"{op.parameter} -> {result}")
+    func = sg.func("list_filter", arg, f"{op.parameter} -> {result}")
+    return func
 
 
 @translate_val.register(ops.ArrayPosition)
@@ -1501,13 +1512,11 @@ def _array_union(op, **kw):
     return translate_val(ops.ArrayDistinct(ops.ArrayConcat(op.left, op.right)), **kw)
 
 
-# TODO
+# TODO: need to do this as a an array map + struct pack -- look at existing
+# alchemy backend implementation
 @translate_val.register(ops.ArrayZip)
 def _array_zip(op: ops.ArrayZip, **kw: Any) -> str:
-    arglist = []
-    for arg in op.arg:
-        sql_arg = translate_val(arg, **kw)
-        with contextlib.suppress(AttributeError):
-            sql_arg = sql_arg.sql(dialect="duckdb")
-        arglist.append(sql_arg)
-    return f"arrayZip({', '.join(arglist)})"
+    zipped = sg.expressions.ArrayJoin().from_arg_list(
+        [translate_val(arg, **kw) for arg in op.arg]
+    )
+    return zipped