Data Engine Thinking

<p>Data is evidence of past activity - frozen moments in time waiting to be uncovered and analyzed. But without understanding the context in which data is created it remains just 'stuff.'</p><p></p><p>Building this understanding takes time. To turn raw data into meaningful information we must continuously refine our interpretations - and adapt our data solutions accordingly. Flexibility is key. A truly effective data solution must evolve alongside our understanding supported by a structured approach automation and code generation.</p><p></p><p><strong>Data Engine Thinking</strong> presents an end-to-end methodology for designing and delivering data solutions that can evolve.</p><p>This book guides you on a journey with FastChangeCo a fictitious company struggling to keep up with today's business demands. Faced with an increasingly complex and fast-changing system landscape they embark on a mission to develop a future-proof data solution - one that accelerates the incorporation of new requirements and overcomes integration challenges.</p><p></p><p>Supported by detailed conceptual and practical explanations we follow FastChangeCo as they transform their fragmented inflexible data platforms into a solution that fully meets the business' needs.</p><p></p><p>Along the way you'll learn how to:</p><ul><li>Define a clear vision and strategy for data</li><li>Select the right frameworks for a scalable architecture</li><li>Overcome integration challenges</li><li>Tackle the complexities of 'time' in data</li><li>Deliver an architecture that is designed for change</li><li>Implement code generation and automation</li><li>Solve real-world problems when working with data</li></ul><p>Whether you're a data architect or modeler engineer or business leader <em>Data Engine Thinking </em>will provide the principles patterns and practical techniques to create a data solution that adapts - just like your organization does.</p>