We use StreamSets' ability to connect to enterprise data stores such as Kafka. It is easy and simple to connect enterprise data stores as long as we follow the documentation. We use StreamSets' ability to move data into the analytic platforms easily because we can use the template provided to extract data from the pipeline. Being able to use Transformer for Snowflake to design both simple and complex transformation logic is important because it helps us break out a live amount of data interfaces that can be understood by the analytics team and identify areas of improvement. As the Transformer for Snowflake operates as a serverless engine, we can reduce our costs as we no longer need to purchase servers. StreamSets enables us to create streams and pipelines that our analytics team can utilize to identify areas for improvement. Additionally, our marketing team can leverage the data generated from these reports to understand how we can integrate our products and services to benefit our brand. StreamSets' data drift resilience is effective and user-friendly. We can use templates or use them from scratch. Data drift resilience saves us around 35 percent of the time fixing duplicates. StreamSets has helped us break down data silos within our organization by providing a clear path forward and enhancing our productivity by breaking down a large amount of data that we can understand. StreamSets saved us around 40 percent of our time. We can use a small team using StreamSets to create data pipelines that would normally require an expert that costs around $500 per month. StreamSets helps us scale our operations because we understand the quality of the data we have and how we can integrate the data into our marketing needs.
