Azure Data Engineer Associate Certification Guide: A hands-on reference guide to developing your data engineering skills and preparing for the DP-203
暫譯: Azure 數據工程師助理認證指南：實用參考指南，幫助您提升數據工程技能並準備 DP-203 認證

Name: Azure Data Engineer Associate Certification Guide: A hands-on reference guide to developing your data engineering skills and preparing for the DP-203
Price: 1176 TWD
Availability: InStock
Author: Newton Alex
ISBN: 1801816069

Newton Alex

Azure Data Engineer Associate Certification Guide: A hands-on reference guide to developing your data engineering skills and preparing for the DP-203

出版商: Packt Publishing
出版日期: 2022-03-04
定價: $1,960
售價: 6.0 折 $1,176
語言: 英文
頁數: 574
裝訂: Quality Paper - also called trade paper
ISBN: 1801816069
ISBN-13: 9781801816069
相關分類: Microsoft Azure

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商品描述

Key Features

Understand and apply data engineering concepts to real-world problems and prepare for the DP-203 certification exam
Explore the various Azure services for building end-to-end data solutions
Gain a solid understanding of building secure and sustainable data solutions using Azure services

Book Description

Azure is one of the leading cloud providers in the world, providing numerous services for data hosting and data processing. Most of the companies today are either cloud-native or are migrating to the cloud much faster than ever. This has led to an explosion of data engineering jobs, with aspiring and experienced data engineers trying to outshine each other.

Gaining the DP-203: Azure Data Engineer Associate certification is a sure-fire way of showing future employers that you have what it takes to become an Azure Data Engineer. This book will help you prepare for the DP-203 examination in a structured way, covering all the topics specified in the syllabus with detailed explanations and exam tips. The book starts by covering the fundamentals of Azure, and then takes the example of a hypothetical company and walks you through the various stages of building data engineering solutions. Throughout the chapters, you'll learn about the various Azure components involved in building the data systems and will explore them using a wide range of real-world use cases. Finally, you'll work on sample questions and answers to familiarize yourself with the pattern of the exam.

By the end of this Azure book, you'll have gained the confidence you need to pass the DP-203 exam with ease and land your dream job in data engineering.

What you will learn

Gain intermediate-level knowledge of Azure the data infrastructure
Design and implement data lake solutions with batch and stream pipelines
Identify the partition strategies available in Azure storage technologies
Implement different table geometries in Azure Synapse Analytics
Use the transformations available in T-SQL, Spark, and Azure Data Factory
Use Azure Databricks or Synapse Spark to process data using Notebooks
Design security using RBAC, ACL, encryption, data masking, and more
Monitor and optimize data pipelines with debugging tips

Who this book is for

This book is for data engineers who want to take the DP-203: Azure Data Engineer Associate exam and are looking to gain in-depth knowledge of the Azure cloud stack.

The book will also help engineers and product managers who are new to Azure or interviewing with companies working on Azure technologies, to get hands-on experience of Azure data technologies. A basic understanding of cloud technologies, extract, transform, and load (ETL), and databases will help you get the most out of this book.

商品描述(中文翻譯)

#### 主要特點

- 理解並應用資料工程概念於實際問題，並為 DP-203 認證考試做準備
- 探索各種 Azure 服務以建立端到端的資料解決方案
- 獲得使用 Azure 服務建立安全且可持續的資料解決方案的堅實理解

#### 書籍描述

Azure 是全球領先的雲端服務提供商之一，提供眾多資料托管和處理服務。當今大多數公司要麼是雲端原生的，要麼正在比以往更快地遷移到雲端。這導致了資料工程職位的激增，渴望和經驗豐富的資料工程師們相互競爭。

獲得 DP-203: Azure Data Engineer Associate 認證是向未來雇主展示你具備成為 Azure Data Engineer 所需能力的可靠方式。本書將幫助你以結構化的方式準備 DP-203 考試，涵蓋大綱中指定的所有主題，並提供詳細的解釋和考試技巧。本書首先介紹 Azure 的基本概念，然後以一個假設的公司為例，帶你逐步了解建立資料工程解決方案的各個階段。在各章中，你將學習到建立資料系統所涉及的各種 Azure 元件，並通過多種實際案例進行探索。最後，你將練習範例問題和答案，以熟悉考試的模式。

在本書結束時，你將獲得通過 DP-203 考試所需的信心，並獲得資料工程的夢想工作。

#### 你將學到的內容

- 獲得 Azure 資料基礎設施的中級知識
- 設計和實施具有批次和串流管道的資料湖解決方案
- 確定 Azure 儲存技術中可用的分區策略
- 在 Azure Synapse Analytics 中實施不同的表幾何
- 使用 T-SQL、Spark 和 Azure Data Factory 中可用的轉換
- 使用 Azure Databricks 或 Synapse Spark 通過 Notebooks 處理資料
- 使用 RBAC、ACL、加密、資料遮蔽等設計安全性
- 監控和優化資料管道，並提供除錯技巧

#### 本書適合誰

本書適合希望參加 DP-203: Azure Data Engineer Associate 考試的資料工程師，並希望深入了解 Azure 雲端技術堆疊。

本書也將幫助對 Azure 新手的工程師和產品經理，或正在面試從事 Azure 技術的公司的求職者，獲得 Azure 資料技術的實作經驗。對雲端技術、提取、轉換和加載（ETL）以及資料庫的基本理解將幫助你充分利用本書。

作者簡介

Newton Alex leads several Azure Data Analytics teams in Microsoft, India. His team contributes to technologies including Azure Synapse, Azure Databricks, Azure HDInsight, and many open source technologies, including Apache YARN, Apache Spark, and Apache Hive. He started using Hadoop while at Yahoo, USA, where he helped build the first batch processing pipelines for Yahoo’s ad serving team. After Yahoo, he became the leader of the big data team at Pivotal Inc., USA, where he was responsible for the entire open source stack of Pivotal Inc. He later moved to Microsoft and started the Azure Data team in India. He has worked with several Fortune 500 companies to help build their data systems on Azure.

作者簡介(中文翻譯)

牛頓·亞歷克斯（Newton Alex）在微軟印度領導幾個 Azure 數據分析團隊。他的團隊貢獻於多項技術，包括 Azure Synapse、Azure Databricks、Azure HDInsight，以及許多開源技術，如 Apache YARN、Apache Spark 和 Apache Hive。他在美國雅虎（Yahoo）工作時開始使用 Hadoop，並協助建立雅虎廣告服務團隊的第一個批次處理管道。在離開雅虎後，他成為美國 Pivotal Inc. 大數據團隊的負責人，負責整個 Pivotal Inc. 的開源技術堆疊。之後，他轉到微軟並在印度成立了 Azure 數據團隊。他曾與多家《財富》500 強公司合作，幫助他們在 Azure 上建立數據系統。