Modern data architectures play a vital role in fueling innovation in today's fast-paced technological landscape. The increasing demand for real-time data processing and analytics has led to the evolution of data architectures that can handle large amounts of data efficiently and effectively. One of the most prominent examples of modern data architectures is the concept of big data. Big data refers to the massive volume of structured and unstructured data that is generated by various sources such as social media, sensors, and IoT devices. To handle this deluge of data, new data architectures have been developed that use distributed computing systems, such as Hadoop and Spark, to process and store data at scale. Another important aspect of modern data architectures is the use of cloud computing. Cloud computing provides a scalable and flexible platform for businesses to store and process data, as well as run their applications. This enables companies to access vast computing res