Combine the power of analytics and cloud computing for faster and efficient insightsAbout This BookMaster the concept of analytics on the cloud: and how organizations are using itLearn the design considerations and while applying a cloud analytics solutionDesign an end-to-end analytics pipeline on the cloudWho This Book Is ForThis book is targeted at CIOs, CTOs, and even analytics professionals looking for various alternatives to implement their analytics pipeline on the cloud. Data professionals looking to get started with cloud-based analytics will also find this book useful. Some basic exposure to cloud platforms such as GCP will be helpful, but not mandatory.What You Will LearnExplore the basics of cloud analytics and the major cloud solutionsLearn how organizations are using cloud analytics to improve the ROIExplore the design considerations while adopting cloud servicesWork with the ingestion and storage tools of GCP such as Cloud Pub/SubProcess your data with tools such as Cloud Dataproc, BigQuery, etcOver 70 GCP tools to build an analytics engine for cloud analyticsImplement machine learning and other AI techniques on GCPIn DetailWith the ongoing data explosion, more and more organizations all over the world are slowly migrating their infrastructure to the cloud. These cloud platforms also provide their distinct analytics services to help you get faster insights from your data.This book will give you an introduction to the concept of analytics on the cloud, and the different cloud services popularly used for processing and analyzing data. If you're planning to adopt the cloud analytics model for your business, this book will help you understand the design and business considerations to be kept in mind, and choose the best tools and alternatives for analytics, based on your requirements. The chapters in this book will take you through the 70+ services available in Google Cloud Platform and their implementation for practical purposes. From ingestion to processing your data, this book contains best practices on building an end-to-end analytics pipeline on the cloud by leveraging popular concepts such as machine learning and deep learning.By the end of this book, you will have a better understanding of cloud analytics as a concept as well as a practical know-how of its implementationStyle and approachComprehensive guide with a perfect blend of theory, examples, and implementation of real-world use-cases