Option D is the correct approach as it leverages the power of distributed processing frameworks like Spark to efficiently process data with a high volume and velocity. It also includes creating windowed aggregates and handling schema drift, which are essential for ensuring accurate results. This approach ensures that the solution can handle the high volume and velocity of the data and provide accurate insights.