Cloud Analytics with Google Cloud Platform: An end-to-end guide to processing and analyzing big data using Google Cloud Platform

Sanket Thodge

  • 出版商: Packt Publishing
  • 出版日期: 2018-04-10
  • 售價: $1,790
  • 貴賓價: 9.5$1,701
  • 語言: 英文
  • 頁數: 282
  • 裝訂: Paperback
  • ISBN: 1788839684
  • ISBN-13: 9781788839686
  • 相關分類: Google Cloud大數據 Big-data
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Combine the power of analytics and cloud computing for faster and efficient insights

Key Features

  • Master the concept of analytics on the cloud: and how organizations are using it
  • Learn the design considerations and while applying a cloud analytics solution
  • Design an end-to-end analytics pipeline on the cloud

Book Description

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

What you will learn

  • Explore the basics of cloud analytics and the major cloud solutions
  • Learn how organizations are using cloud analytics to improve the ROI
  • Explore the design considerations while adopting cloud services
  • Work with the ingestion and storage tools of GCP such as Cloud Pub/Sub
  • Process your data with tools such as Cloud Dataproc, BigQuery, etc
  • Over 70 GCP tools to build an analytics engine for cloud analytics
  • Implement machine learning and other AI techniques on GCP

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.

Table of Contents

  1. Introducing Cloud Analytics
  2. Design and Business Considerations
  3. GCP 10,000 feet above- a high level understanding of GCP
  4. Ingestion and Storing - Bring the data and capture it
  5. Processing, Visualizing and Building Analytics Engine in GCP- Close encounter - Squeeze the data and make Data work
  6. Machine Learning, Deep Learning and AI on GCP
  7. Troubleshooting Cloud
  8. Business use-cases
  9. Appendix: Introduction to AWS and Azure

商品描述(中文翻譯)

結合分析和雲計算的力量,以獲得更快速和高效的洞察力

主要特點:
- 掌握雲上分析的概念以及組織如何使用它
- 學習在應用雲分析解決方案時的設計考慮事項
- 在雲上設計一個端到端的分析流程

書籍描述:
隨著數據爆炸的持續增長,全球越來越多的組織正在逐漸將基礎設施遷移到雲上。這些雲平台還提供其獨特的分析服務,以幫助您從數據中獲得更快的洞察力。

本書將向您介紹雲上分析的概念,以及用於處理和分析數據的不同雲服務。如果您計劃為您的業務採用雲分析模型,本書將幫助您了解設計和業務考慮事項,並根據您的需求選擇最佳的分析工具和替代方案。本書的章節將帶您了解Google Cloud Platform中的70多種服務及其實際應用。從數據的輸入到處理,本書包含了在雲上構建端到端分析流程的最佳實踐,並利用機器學習和深度學習等流行概念。

通過閱讀本書,您將更好地理解雲分析作為一個概念,並實際掌握其實施方法。

您將學到:
- 探索雲分析的基礎知識和主要雲解決方案
- 了解組織如何使用雲分析來提高投資回報率
- 探索在採用雲服務時的設計考慮事項
- 使用GCP的數據輸入和存儲工具,如Cloud Pub/Sub
- 使用工具如Cloud Dataproc、BigQuery等處理數據
- 使用70多種GCP工具構建雲分析引擎
- 在GCP上實施機器學習和其他人工智能技術

本書適合對於在雲上實施分析流程的CIO、CTO和分析專業人士。希望開始使用基於雲的分析的數據專業人士也會發現本書有用。對於雲平台(如GCP)的基本了解將有所幫助,但不是必需的。

目錄:
1. 介紹雲分析
2. 設計和業務考慮事項
3. GCP的高層理解
4. 數據輸入和存儲 - 將數據帶入並捕獲
5. 處理、可視化和在GCP中構建分析引擎 - 緊密接觸 - 擠壓數據並使數據發揮作用
6. GCP上的機器學習、深度學習和人工智能
7. 雲故障排除
8. 業務用例
9. 附錄:介紹AWS和Azure