"Cover" -- "Half Title" -- "Title" -- "Copyright" -- "Contents" -- "Foreword" -- "Preface" -- "1. Collaborative Government and Evaluation: The Implications of a New Policy Instrument" -- "2. Networks and Partnering Arrangements: New Challenges for Evaluation and Auditing" -- "3. Quangos, Evaluation, and Accountability in Collaborative Government" -- "4. The Politics of Evaluating Government Collaboration with the Third Sector" -- "5. Collaborating for Public Service Quality: The Implications for Evaluation" -- "6. Collaboration by Contract and Pooling Resources: The Implications for Evaluation" -- "7. Results-Based Governance: Collaborating for Outcomes" -- "8. Auditing and Evaluating Collaborative Government: The Role of Supreme Audit Institutions" -- "9. Evaluation, Accountability, and Collaboration" -- "10. Evaluation and Collaborative Government: Lessons and Challenges" -- "Contributors
Detective Barry Windsor faces a surreal challenge while pursuing a fugitive, as he encounters a potential zombie apocalypse. Struggling with memory issues from a car crash, he grapples with the blurring lines between reality and hallucination. Surrounded by the undead, he soon realizes that the true dangers extend beyond zombies, as he navigates the enigmatic circumstances of his altered reality and the inevitable conclusion that awaits him.
Build a modern data warehouse on Microsoft's Azure Platform that is flexible, adaptable, and fast--fast to snap together, reconfigure, and fast at delivering results to drive good decision making in your business. Gone are the days when data warehousing projects were lumbering dinosaur-style projects that took forever, drained budgets, and produced business intelligence (BI) just in time to tell you what to do 10 years ago. This book will show you how to assemble a data warehouse solution like a jigsaw puzzle by connecting specific Azure technologies that address your own needs and bring value to your business. You will see how to implement a range of architectural patterns using batches, events, and streams for both data lake technology and SQL databases. You will discover how to manage metadata and automation to accelerate the development of your warehouse while establishing resilience at every level. And you will know how to feed downstream analytic solutions such as Power BI and Azure Analysis Services to empower data-driven decision making that drives your business forward toward a pattern of success. This book teaches you how to employ the Azure platform in a strategy to dramatically improve implementation speed and flexibility of data warehousing systems. You will know how to make correct decisions in design, architecture, and infrastructure such as choosing which type of SQL engine (from at least three options) best meets the needs of your organization. You also will learn about ETL/ELT structure and the vast number of accelerators and patterns that can be used to aid implementation and ensure resilience. Data warehouse developers and architects will find this book a tremendous resource for moving their skills into the future through cloud-based implementations. You will: Choose the appropriate Azure SQL engine for implementing a given data warehouse Develop smart, reusable ETL/ELT processes that are resilient and easily maintained Automate mundane developm ent tasks through tools such as PowerShell Ensure consistency of data by creating and enforcing data contracts Explore streaming and event-driven architectures for data ingestion Create advanced staging layers using Azure Data Lake Gen 2 to feed your data warehouse
