Trifacta Data Preparation for Amazon Redshift and S3 makes the process of wrangling diverse data faster and more intuitive. Data preparation is the most time-consuming and inefficient part of any data project - taking up over 80% of the time and resources. Trifacta Data Preparation enables data engineers and analysts to more efficiently explore and prepare the diverse data of today by utilizing machine learning to provide a breakthrough user experience, workflow and architecture. Trifacta Data Preparation is specifically designed to accelerate data wrangling of small-to-intermediate sized datasets that don't require the parallel computing power of big data platforms such as EMR. Powered by the in-memory Photon Compute Framework, analysts can collaborate on the process of exploring, structuring and publishing out analysis-ready datasets for faster, more accurate analysis.