Recent technology advances dramatically change design, deployment, and management of data and analytics systems. Hadoop, NoSQL, and cloud bring scale-out, elastic, and real-time computing while intelligent data preparation, cataloging, and analysis tools enable self-service analysis. Traditional BI has been turned upside down. Serial data pipelines of relational data managed, modeled, and batch loaded by IT, give way to a modern analytics ecosystem of multiple, continuous, real-time data flows optimized for self-service. The result is an agile, adaptive, self-service environment that fuels data-driven organizations.

In this report, you will learn:

• The forces that are driving analytics ecosystem modernization
• How modern analytics architecture differs from traditional BI architecture
• The stages and characteristics of a new information supply chain
• Key elements of a modern analytics ecosystem — agility, automation, collaboration, and self-service
• A design framework for modern data pipelines
• Principles and practices of a modern analytics organization

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