The directional derivative is given by:
\[
D_{\hat{v}} f = \nabla f \cdot \hat{v}
\]
where \( \nabla f = \left( \frac{\partial f}{\partial x}, \frac{\partial f}{\partial y}, \frac{\partial f}{\partial z} \right) \) and \( \hat{v} \) is the unit vector in the given direction.
First, compute the gradient \( \nabla f \):
\[
\frac{\partial f}{\partial x} = 2x, \frac{\partial f}{\partial y} = 6y, \frac{\partial f}{\partial z} = 2z
\]
Thus, \( \nabla f = (2x, 6y, 2z) \).
At point \( (2, 1, 0) \):
\[
\nabla f(2, 1, 0) = (2 \times 2, 6 \times 1, 2 \times 0) = (4, 6, 0)
\]
The unit vector in the \( x \)-direction is \( \hat{i} = (1, 0, 0) \).
Now, compute the dot product:
\[
D_{\hat{i}} f = (4, 6, 0) \cdot (1, 0, 0) = 4
\]
Thus, the directional derivative is \( \boxed{4} \).