You are profiling the performance of your TensorFlow model training time and notice a performance issue caused by inefficiencies in the input data pipeline for a single 5 terabyte CSV file dataset on Cloud Storage. You need to optimize the input pipeline performance. Which action should you try first to increase the efficiency of your pipeline?

A. Preprocess the input CSV file into a TFRecord file. B. Randomly select a 10 gigabyte subset of the data to train your model. C. Split into multiple CSV files and use a parallel interleave transformation. D. Set the reshuffle_each_iteration parameter to true in the tf.data.Dataset.shuffle method.