👉 Lake computing is a distributed data storage and processing paradigm that enables the aggregation, management, and analysis of vast amounts of data from various sources, such as IoT devices, social media platforms, and enterprise systems, into a centralized "lake." This lake acts as a single repository where raw data is stored in its native format, allowing for flexible and scalable processing using diverse tools and technologies. Unlike traditional data warehouses that require structured data, lake computing embraces unstructured and semi-structured data, making it highly adaptable to evolving data needs. By leveraging big data technologies like Hadoop, Spark, and cloud platforms, lake computing facilitates real-time analytics, machine learning, and advanced data insights, empowering organizations to make data-driven decisions efficiently.
