Key Components of a Modern Data Stack: An Overview

Data is a crucial asset for companies in the digital age, and leveraging it effectively requires a modern data stack that can efficiently collect, store, process, analyze, and act on the data. A modern data stack, in contrast to legacy systems, is built on cloud-based services and low-code or no-code tools, offering benefits such as scalability, reduced maintenance, and improved performance. Key components of a modern data stack include data collection, storage, processing, and analysis/visualization, with solutions often spanning multiple components. DeltaStream exemplifies a modern data solution by fitting into the data storage and processing layers, offering a serverless platform that unifies and processes real-time data using a hierarchical namespace model and SQL interfaces for stream processing. It leverages Apache Flink for complex data transformations, providing users with powerful processing capabilities without requiring deep technical knowledge. DeltaStream's integration with popular databases and data warehouses enhances its utility within a modern data stack, making it a valuable tool for managing and scaling streaming data efficiently.