Establishment of Data Lake specific to multi-channel e-commerce application to understand customer’s buying pattern
Post order fulfillment data is becoming a very important asset of e-commerce vendors to understand complete buying pattern of customers. Especially for the e-commerce vendors who sells multiple products starting from electronics to apparels. Extraction and transformation are time-consuming operations when partially structured data starts moving from the various sources and finally land into the relational data warehouse. Data extracted from the social media are semi-structured (JSON or XML). As an example, Facebook provides information in JSON format through Graph API and same...