Requirements of Modern Analytic Databases

Organizations have a wide variety of analytics needs ranging from dashboards and visualization to artificial intelligence and machine learning (AI/ML). The faster an organization can perform analytics, the more efficient and effective an organization’s business operations will be. One way to improve performance is with in-database analytics, the process of executing analytics directly within the database rather than extracting data to a separate system. This results in less data movement and less maintenance of data pipelines. In-database analytics accelerate time to insights and reduce maintenance and data governance issues, even as increasing volumes of data require compute and storage scalability without compromising efficiency. This webcast features research presented by David Menninger, SVP and Research Director of Data and Analytics Research at Ventana Research.