The Impact of Big Data, IoT, and Cloud-Based DW on DW Architecture & Modeling Decisions at Large Enterprises

Today executives at large enterprises who are responsible for making decisions about their organization's Data Warehouses and other data assets must wade through a bewildering array of terms and technologies to try to determine which add transformative value, which are more incremental in nature, and which are ready for prime time in large enterprises. With an emphasis on their impact on Data Warehouse architecture, modeling, and deployment choices at large enterprises, this presentation will highlight how the following topics are evolving and impacting actual deployments in large enterprises:

Big Data
Data Lakes
Internet of Things
MPP and In-Memory DW
Cloud-based DW

During the past 17 years, Kevin Schofield has led ADRM Software to its current position as the leading independent provider of comprehensive industry-specific data models. He has had the privilege to work directly with most of ADRM’s customers across a wide variety of industries in 18 countries around the world to ensure that their diverse and evolving analytic requirements are met now and in the future through the use of large-scale industry-specific data models to accelerate the deployment of large scale DW and analytic infrastructures across diverse platforms, while reducing risk and benefiting from best practices and lessons learned at other similar large organizations.