Linking of analytics and cloud computing for faster, more efficient insights with extensive Google Cloud Platform tools such as Cloud Dataproc (Hadoop and Spark), BigQuery, Cloud SQL and many more
About This Book
Master the concept of analytics on the cloud: what it is and how organizations are using it
Understand the design considerations and different dos and don'ts while implementing a cloud analytics solution
Build an end-to-end analytics pipeline on the cloud, for faster and more efficient insights
Who This Book Is For
This 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 Learn
Understand the basics of cloud analytics and the major cloud platforms currently available on the market
Learn how organizations and businesses are using cloud analytics to improve their profits
Explore design and business considerations while adopting cloud services and the ideal approach to moving on-premise data to the cloud.
Work with the ingestion and storage tools of Google Cloud Platform such as Cloud Pub/Sub, Cloud Dataflow; Cloud Storage, Datastore, BigTable, and many more.
Process your data with extensive Google Cloud Platform tools such as Cloud Dataproc (Hadoop and Spark), BigQuery, Cloud SQL and many more
70+ GCP tools to build an analytics engine to carry out cloud analytics
Implement machine learning and other Artificial Intelligence techniques on Google Cloud Platform for better insights
With 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 implementation