Abirami Forbes’ life is thrown into chaos when she loses her family in a car accident. She faces the daunting prospect of a new life in India studying at an ancient dance school. Beginning her new life, Abi struggles to settle in, but becomes determined to learn dance to teach a rival a lesson. Things begin to look up when she discovers that her mother is a celestial being who can be visited in heaven if Abi can find a magic Sapphire. But first she must overcome Varun, an evil demon who is also out to get the gem. As Abi faces Varun, she learns about the seven steps she needs to climb to visit her mother in heaven. She must perform some very daring tasks to escape the demon and his attacks to sabotage her attempts. Will she defeat this destructive force to find her way to heaven and find her family? And will Abi be able to save the world from disaster and destruction?
Remember Me as a Time of Day is a testament of pure emotion. It is a collection of essays and poetry that celebrates the very obvious frailty of the human condition, because that can be our biggest strength. It is a tribute to anyone who has ever been submerged into the storms caused by tragedy and loss. May this be your lighthouse. In this expanded edition, expect new poetry, additional exciting content and a brand new preface.
Build faster and efficient real-world applications on the cloud with a fitting database model that's perfect for your needs Key Features Familiarize yourself with business and technical considerations involved in modeling the right database Take your data to applications, analytics, and AI with real-world examples Learn how to code, build, and deploy end-to-end solutions with expert advice Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn the age of lightning-speed delivery, customers want everything developed, built, and delivered at high speed and at scale. Knowledge, design, and choice of database is critical in that journey, but there is no one-size-fits-all solution. This book serves as a comprehensive and practical guide for data professionals who want to design and model their databases efficiently. The book begins by taking you through business, technical, and design considerations for databases. Next, it takes you on an immersive structured database deep dive for both transactional and analytical real-world use cases using Cloud SQL, Spanner, and BigQuery. As you progress, you’ll explore semi-structured and unstructured database considerations with practical applications using Firestore, cloud storage, and more. You’ll also find insights into operational considerations for databases and the database design journey for taking your data to AI with Vertex AI APIs and generative AI examples. By the end of this book, you will be well-versed in designing and modeling data and databases for your applications using Google Cloud.What you will learn Understand different use cases and real-world applications of data in the cloud Work with document and indexed NoSQL databases Get to grips with modeling considerations for analytics, AI, and ML Use real-world examples to learn about ETL services Design structured, semi-structured, and unstructured data for your applications and analytics Improve observability, performance, security, scalability, latency SLAs, SLIs, and SLOs Who this book is forThis book is for database developers, data engineers, and architects looking to design, model, and build database applications on the cloud with an extended focus on operational consideration and taking their data to AI. Data scientists, as well ML and AI engineers who want to use Google Cloud services in the data to AI journey will also find plenty of useful information in this book. It will also be useful to data analysts and BI developers who want to use SQL impactfully to generate ML and generative AI insights from their data.
