Data Lake Analytics on Microsoft Azure: A Practitioner's Guide to Big Data Engineering
暫譯: Microsoft Azure 數據湖分析：大數據工程實務指南

Chawla, Harsh, Khattar, Pankaj

Data Lake Analytics on Microsoft Azure: A Practitioner's Guide to Big Data Engineering
  • 出版商: Apress
  • 出版日期: 2020-10-09
  • 售價: $2,050
  • 貴賓價: 9.5 折 $1,948
  • 語言: 英文
  • 頁數: 218
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1484262514
  • ISBN-13: 9781484262511
  • 相關分類: Microsoft Azure、大數據 Big-data

    • 海外代購書籍(需單獨結帳)

商品描述

Get a 360-degree view of how the journey of data analytics solutions has evolved from monolithic data stores and enterprise data warehouses to data lakes and modern data warehouses. You will

This book includes comprehensive coverage of how:

 

 

 

 

 

 

 

  • To architect data lake analytics solutions by choosing suitable technologies available on Microsoft Azure
  • The advent of microservices applications covering ecommerce or modern solutions built on IoT and how real-time streaming data has completely disrupted this ecosystem
  • These data analytics solutions have been transformed from solely understanding the trends from historical data to building predictions by infusing machine learning technologies into the solutions

Data platform professionals who have been working on relational data stores, non-relational data stores, and big data technologies will find the content in this book useful. The book also can help you start your journey into the data engineer world as it provides an overview of advanced data analytics and touches on data science concepts and various artificial intelligence and machine learning technologies available on Microsoft Azure.

What Will You Learn

You will understand the:

 

  • Concepts of data lake analytics, the modern data warehouse, and advanced data analytics
  • Architecture patterns of the modern data warehouse and advanced data analytics solutions
  • Phases--such as Data Ingestion, Store, Prep and Train, and Model and Serve--of data analytics solutions and technology choices available on Azure under each phase
  • In-depth coverage of real-time and batch mode data analytics solutions architecture
  • Various managed services available on Azure such as Synapse analytics, event hubs, Stream analytics, CosmosDB, and managed Hadoop services such as Databricks and HDInsight

 

Who This Book Is For

Data platform professionals, database architects, engineers, and solution architects

 

商品描述(中文翻譯)

獲得360度的視角，了解數據分析解決方案如何從單體數據存儲和企業數據倉庫演變為數據湖和現代數據倉庫。您將會

本書全面涵蓋以下內容：

 

 

 

 

 

 

 


  • 如何通過選擇適合的技術在Microsoft Azure上架構數據湖分析解決方案

  • 微服務應用的興起，涵蓋電子商務或基於物聯網的現代解決方案，以及實時流數據如何徹底顛覆這個生態系統

  • 這些數據分析解決方案如何從僅僅理解歷史數據的趨勢轉變為通過將機器學習技術融入解決方案來建立預測

在關聯數據存儲、非關聯數據存儲和大數據技術方面工作的數據平台專業人士將會發現本書的內容非常有用。本書還可以幫助您開始進入數據工程師的世界，因為它提供了高級數據分析的概述，並觸及數據科學概念以及在Microsoft Azure上可用的各種人工智慧和機器學習技術。

您將學到什麼

您將了解：

 


  • 數據湖分析、現代數據倉庫和高級數據分析的概念

  • 現代數據倉庫和高級數據分析解決方案的架構模式

  • 數據分析解決方案的階段——如數據攝取、存儲、準備和訓練，以及模型和服務——以及在每個階段可用的Azure技術選擇

  • 實時和批量模式數據分析解決方案架構的深入探討

  • 在Azure上可用的各種管理服務，如Synapse analytics、事件中心、Stream analytics、CosmosDB，以及管理的Hadoop服務，如Databricks和HDInsight

 

本書適合誰閱讀

數據平台專業人士、數據庫架構師、工程師和解決方案架構師

 

作者簡介

Harsh Chawla has been working on data platform technologies for last 14 years. He has been in various roles in the Microsoft world for last 12 years, going from CSS to services to technology strategy. He currently works as an Azure specialist with data and AI technologies and helps large IT enterprises build modern data warehouses, advanced analytics, and AI solutions on Microsoft Azure. He has been a community speaker and blogger on data platform technologies.
Pankaj Khattar is a seasoned Software Architect with over 14 years of experience in design and development of Big Data, Machine Learning and AI based products. He currently works with Microsoft on the Azure platform as a Sr. Cloud Solution Architect for Data & AI technologies. He also possesses extensive industry experience in the field of building scalable multi-tier distributed applications and client/server based development.

You can connect with him on LinkedIn at https: //www.linkedin.com/in/pankaj-khattar/

 

作者簡介(中文翻譯)

Harsh Chawla 在數據平台技術方面已有 14 年的工作經驗。在過去的 12 年中，他在微軟的不同角色中工作，從 CSS 到服務再到技術策略。他目前擔任 Azure 專家，專注於數據和人工智慧技術，幫助大型 IT 企業在 Microsoft Azure 上構建現代數據倉庫、高級分析和人工智慧解決方案。他也是數據平台技術的社區演講者和部落客。

Pankaj Khattar 是一位資深的軟體架構師，擁有超過 14 年的經驗，專注於大數據、機器學習和人工智慧產品的設計與開發。他目前在微軟擔任 Azure 平台的資深雲解決方案架構師，專注於數據與人工智慧技術。他在構建可擴展的多層分散式應用程式和客戶/伺服器開發方面也擁有豐富的行業經驗。

您可以在 LinkedIn 上與他聯繫，網址為 https://www.linkedin.com/in/pankaj-khattar/

類似商品