The Convergence of Big Data Processing and Integrated Infrastructure
ESG conducted an in-depth survey of 399 IT and business professionals responsible for and/or familiar with their organization’s data analytics strategies, technologies, and processes. Survey participants represented midmarket (100 to 999 employees) and enterprise-class (1,000 employees or more) organizations in North America (United States and Canada). For the purposes of this research, ESG defines “big data” as addressing a situation organizations face when their existing IT data management/analytic solutions, including the related infrastructure, struggle to effectively support the analytic requirements of the business. This struggle typically occurs because the data volume and complexity can no longer be processed, integrated, or analyzed in the desired business timeframe. Big data represents not only the challenge, but also the solution(s) of delivering on the organization's data analysis needs despite very large data volume and complexity.