The text discusses the challenges of managing complex data environments in organizations, where specialized tools and platforms have led to siloed data practices, a lack of interoperability between tools, and an increased maintenance burden. The author argues that traditional views on data orchestration are insufficient and advocates for a shift in perspective to create a more cohesive, efficient, and trustworthy data environment. The ideal approach is to view data orchestration as the strategic command center of an organization's data operations, providing a unified interface, governance and compliance, data quality and reliability, scalable and adaptive execution, and a central data platform. The text provides examples from various industries, including gaming, ecommerce, healthcare, financial services, manufacturing, energy, space exploration, and geospatial analysis, to demonstrate the versatility of this approach. By adopting a command center perspective, organizations can create a robust framework capable of addressing the issues of Big Complexity, streamlining their data operations, and empowering teams to deliver reliable, high-quality data products faster, more cost-effectively, and more efficiently.