As organizations are realizing how Data-Driven insights can empower their strategic decisions and increase their ROI, the focus is on building Data Lakes and Data Warehouses where all the Big Data can be safely archived. Big data can then be used to empower various data engineering, data science, business analytics, and operational analytics initiatives to benefit the business by improving operational efficiency, reducing operating costs, and making better strategic business decisions. However, the exponential growth in the data that we humans consume and generate day to day makes it necessary to have a well-structured approach toward capacity governance in the Big Data Platform.
Introduction:
Capacity governance and scalability engineering are inter-related disciplines, as this requires a comprehensive understanding of our compute and storage capacity demands, infrastructure supply, and their inter-dynamics to develop an appropriate strategy for scalability in the big data platform. In addition to this, technical risk resolution and security compliance are equally important aspects of capacity governance.