Cloud Analytics with Google Cloud Platform: An end-to-end guide to processing and analyzing big data using Google Cloud Platform
暫譯: 使用 Google Cloud Platform 的雲端分析:處理和分析大數據的完整指南

Sanket Thodge

  • 出版商: Packt Publishing
  • 出版日期: 2018-04-10
  • 售價: $1,830
  • 貴賓價: 9.5$1,739
  • 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)

結合分析與雲端運算的力量,以獲得更快速且有效的洞察

主要特點


  • 掌握雲端分析的概念,以及組織如何使用它

  • 學習設計考量,並在應用雲端分析解決方案時注意事項

  • 設計一個端到端的雲端分析管道

書籍描述

隨著數據爆炸的持續發展,全球越來越多的組織正在慢慢將其基礎設施遷移到雲端。這些雲端平台也提供獨特的分析服務,幫助您從數據中獲得更快速的洞察。

本書將為您介紹雲端分析的概念,以及常用於處理和分析數據的不同雲端服務。如果您計劃為您的業務採用雲端分析模型,本書將幫助您了解設計和業務考量,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 中超過 70 種可用服務及其實際應用。從數據的攝取到處理,本書包含了利用機器學習和深度學習等流行概念來構建端到端雲端分析管道的最佳實踐。

在本書結束時,您將對雲端分析的概念有更深入的理解,並具備其實施的實用知識。

您將學到什麼


  • 探索雲端分析的基本概念及主要雲端解決方案

  • 了解組織如何利用雲端分析來改善投資回報率(ROI)

  • 探索在採用雲端服務時的設計考量

  • 使用 GCP 的攝取和儲存工具,如 Cloud Pub/Sub

  • 使用 Cloud Dataproc、BigQuery 等工具處理您的數據

  • 超過 70 種 GCP 工具來構建雲端分析引擎

  • 在 GCP 上實施機器學習和其他 AI 技術

本書適合誰

本書針對 CIO、CTO 以及尋求各種替代方案以在雲端實施其分析管道的分析專業人士。希望開始使用雲端分析的數據專業人士也會發現本書有用。對於 GCP 等雲端平台有一些基本了解將會有幫助,但並非必要。

目錄


  1. 雲端分析介紹

  2. 設計與業務考量

  3. GCP 的高層次理解 - 10,000 英尺的視角

  4. 攝取與儲存 - 將數據帶入並捕捉它

  5. 在 GCP 中處理、可視化和構建分析引擎 - 近距離接觸 - 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 AI

  7. 雲端故障排除

  8. 商業使用案例

  9. 附錄:AWS 和 Azure 介紹