Data is everywhere and moving faster than ever before. If you are processing logs from millions of IoT devices, tracking customer behavior on an e-commerce site, or monitoring stock market changes in real time, your ability to integrate and process this data quickly and efficiently can mean the difference between your business succeeding or failing.
Spark Structured Streaming comes in handy here. The combination of scalability offered by cloud services and the ability to handle real-time data streams makes it a powerful tool for optimizing integration workflows. Let’s see how these two technologies can be used to design robust, high-performing data pipelines and how to deal with the actual world scenario of dealing with continuous data.