Real-Time Point-of-Sale Analysis with a Data Lakehouse
Before coming to the Data Lakehouse, let us try to understand, in short, how the use of Data Warehouse is now no more fulfilling the needs of business intelligence (BI) activities. However, the data warehouse was purposely built for BI and reporting; they can only hold structured data, which is not enough to the current variety demands of the business environment. A data lake was used for this very purpose of storing volumes of unstructured and semi-structured data in any format, including images and video. But as much as it was easy to store data in a data lake, it was not easy to use it. Hence, both of these systems were causing disruptions in the supply chain. With ever-increasing customer expectations, it was difficult for businesses to keep track of their inventories in real-time, especially during the pandemic. With an increasing consumer base and high user expectations, a more straightforward method to store and access data and perform BI activities efficiently ...