Our product uses third generation Big Data technologies and Spark Structured Streaming to enable comprehensive Digital Transformation. It provides a unified streaming API that allows for continuous processing, interactive queries, joins with static data, continuous aggregations, stateful operations, and low latency. The presentation introduces Spark Structured Streaming's basic concepts including loading from stream sources like Kafka, writing to sinks, triggers, SQL integration, and mixing streaming with batch processing. It also covers continuous aggregations with windows, stateful operations with checkpointing, reading from and writing to Kafka, and benchmarks compared to other streaming frameworks.