97 Things Every Data Engineer Should Know: Collective Wisdom from the Experts
暫譯: 每位資料工程師應該知道的97件事：來自專家的集體智慧

Macey, Tobias

97 Things Every Data Engineer Should Know: Collective Wisdom from the Experts
  • 出版商: O'Reilly
  • 出版日期: 2021-07-20
  • 定價: $1,700
  • 售價: 9.0 折 $1,530
  • 語言: 英文
  • 頁數: 264
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1492062413
  • ISBN-13: 9781492062417
  • 相關分類: 大數據 Big-data

    • 立即出貨 (庫存=1)

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商品描述

Take advantage of today's sky-high demand for data engineers. With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, Stitch Fix, Microsoft, Capital One, and LinkedIn share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges.

Edited by Tobias Macey, host of the popular Data Engineering Podcast, this book presents 97 concise and useful tips for cleaning, prepping, wrangling, storing, processing, and ingesting data. Data engineers, data architects, data team managers, data scientists, machine learning engineers, and software engineers will greatly benefit from the wisdom and experience of their peers.

Topics include:

  • Building pipelines
  • Stream processing
  • Data privacy and security
  • Data governance and lineage
  • Data storage and architecture
  • The ecosystem of modern tools
  • Data team makeup and culture
  • Career advice

商品描述(中文翻譯)

利用當今對數據工程師的高需求。本書深入探討，現有和未來的工程師將學習到管理大數據和小數據的強大實務經驗。來自Twitter、Google、Stitch Fix、Microsoft、Capital One和LinkedIn等知名公司的貢獻者分享他們的經驗和教訓，以克服各種具體且常見的挑戰。

本書由受歡迎的《Data Engineering Podcast》主持人Tobias Macey編輯，提供97個簡潔且實用的提示，涵蓋數據的清理、準備、處理、存儲、處理和攝取。數據工程師、數據架構師、數據團隊經理、數據科學家、機器學習工程師和軟體工程師將從同行的智慧和經驗中獲益良多。

主題包括：
- 建立管道
- 流處理
- 數據隱私和安全
- 數據治理和血統
- 數據存儲和架構
- 現代工具的生態系統
- 數據團隊的組成和文化
- 職業建議

作者簡介

Tobias Macey hosts the Data Engineering Podcast and Podcast.__init__ where he discusses the tools, topics, and people that comprise the data engineering and Python communities respectively. His experience across the domains of infrastructure, software, cloud, and data engineering allows him to ask informed questions and bring useful context to the discussions. The ongoing focus of his career is to help educate people, through designing and building platforms that power online learning, consulting with companies and investors to understand the possibilities of emerging technologies, and leading teams of engineers to help them grow professionally.

作者簡介(中文翻譯)

Tobias Macey 主持 Data Engineering Podcast 和 Podcast.__init__，在這些節目中，他討論了數據工程和 Python 社群中的工具、主題和人物。他在基礎設施、軟體、雲端和數據工程領域的經驗使他能夠提出有見地的問題，並為討論帶來有用的背景資訊。他職業生涯的持續重點是通過設計和建造支持線上學習的平台來幫助教育人們，與公司和投資者諮詢以了解新興技術的可能性，以及領導工程團隊幫助他們在專業上成長。

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