A New Paradigm for Managing Data in Motion

Big data operations are built on numerous flows of perishable data that need to travel from a variety of often untraditional, uncurated and unstable sources, through a fabric of transport, storage and compute components and into multiple analytic applications. The complexity of this new environment for data in motion creates a pressing issue: how does a company ensure that the sum total of the data flowing across a business is complete and accurate, and yet still fresh? In practical terms, how do IT and business units set, meet and enforce service level agreements for their data in motion, so that analytics and operational applications can perform as intended? At its heart this is a management problem that requires a new paradigm and organizational discipline around the performance management of data flows. The goal of data performance management is to efficiently provide IT with full operational control of the day-to-day data motion landscape along with the agility to gracefully respond to or enact changes in support of their evolving technology or business environment. In this webinar, 451 Analyst Jason Stamper and StreamSets CTO Arvind Prabhakar will discuss: •The state of play for managing data in motion today and the need for adopting a ‘data performance management’ paradigm. •The objectives and key principles for such a data performance management system. •Practical advice for building a performance management practice in your organization today.