Data Pipelining for Incoming Asynchronous Stream

Abstract

In the digital age, data has become one of the most valuable resources. With the proliferation of technology and the internet, we generate and store vast amounts of data every day. This data can come from a variety of sources, including social media, e-commerce transactions, and sensors in devices. By analyzing this data, businesses and organizations can gain valuable insights into customer behavior, market trends, and more. This information can then be used to make informed decisions and drive innovation. Data also plays a crucial role in areas such as scientific research and public policy. However, with the importance of data comes the responsibility to ensure that it is collected, stored, and used in an ethical and secure manner. To address this, ensuring a secure, well constructed data pipeline must be set up in order to take maximum benefits out of the data generated, which can be used in this specific business case. This data is further used to extract sufficient KPIs to project various indexes like ARR, Recurring Revenue, Monthly retention and Churn rate. For accurate estimation and projections, data must be accurately transmitted and handled to further carry out the analysis. IX