Data Exploration and Preparation with BigQuery: A practical guide to cleaning, transforming, and analyzing data for business insights
暫譯: 使用 BigQuery 進行數據探索與準備:清理、轉換和分析數據以獲取商業洞察的實用指南

Kahn, Mike

  • 出版商: Packt Publishing
  • 出版日期: 2023-11-29
  • 售價: $1,690
  • 貴賓價: 9.5$1,606
  • 語言: 英文
  • 頁數: 264
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1805125265
  • ISBN-13: 9781805125266
  • 相關分類: 大數據 Big-dataData Science
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Leverage BigQuery to understand and prepare your data to ensure that it's accurate, reliable, and ready for analysis and modeling


Key Features:

  • Use mock datasets to explore data with the BigQuery web UI, bq CLI, and BigQuery API in the Cloud console
  • Master optimization techniques for storage and query performance in BigQuery
  • Engage with case studies on data exploration and preparation for advertising, transportation, and customer support data
  • Purchase of the print or Kindle book includes a free PDF eBook


Book Description:

Data professionals encounter a multitude of challenges such as handling large volumes of data, dealing with data silos, and the lack of appropriate tools. Datasets often arrive in different conditions and formats, demanding considerable time from analysts, engineers, and scientists to process and uncover insights. The complexity of the data life cycle often hinders teams and organizations from extracting the desired value from their data assets. Data Exploration and Preparation with BigQuery offers a holistic solution to these challenges.

The book begins with the basics of BigQuery while covering the fundamentals of data exploration and preparation. It then progresses to demonstrate how to use BigQuery for these tasks and explores the array of big data tools at your disposal within the Google Cloud ecosystem.

The book doesn't merely offer theoretical insights; it's a hands-on companion that walks you through properly structuring your tables for query efficiency and ensures adherence to data preparation best practices. You'll also learn when to use Dataflow, BigQuery, and Dataprep for ETL and ELT workflows. The book will skillfully guide you through various case studies, demonstrating how BigQuery can be used to solve real-world data problems.

By the end of this book, you'll have mastered the use of SQL to explore and prepare datasets in BigQuery, unlocking deeper insights from data.


What You Will Learn:

  • Assess the quality of a dataset and learn best practices for data cleansing
  • Prepare data for analysis, visualization, and machine learning
  • Explore approaches to data visualization in BigQuery
  • Apply acquired knowledge to real-life scenarios and design patterns
  • Set up and organize BigQuery resources
  • Use SQL and other tools to navigate datasets
  • Implement best practices to query BigQuery datasets
  • Gain proficiency in using data preparation tools, techniques, and strategies


Who this book is for:

This book is for data analysts seeking to enhance their data exploration and preparation skills using BigQuery. It guides anyone using BigQuery as a data warehouse to extract business insights from large datasets. A basic understanding of SQL, reporting, data modeling, and transformations will assist with understanding the topics covered in this book.

商品描述(中文翻譯)

利用 BigQuery 了解和準備您的數據,以確保其準確、可靠並準備好進行分析和建模

主要特點:


  • 使用模擬數據集通過 BigQuery 網頁 UI、bq CLI 和 Cloud 控制台中的 BigQuery API 探索數據

  • 掌握 BigQuery 中存儲和查詢性能的優化技術

  • 參與有關廣告、交通和客戶支持數據的數據探索和準備的案例研究

  • 購買印刷版或 Kindle 書籍包括免費 PDF 電子書

書籍描述:
數據專業人員面臨著許多挑戰,例如處理大量數據、應對數據孤島以及缺乏合適的工具。數據集通常以不同的條件和格式到達,要求分析師、工程師和科學家花費大量時間來處理和發掘見解。數據生命週期的複雜性往往妨礙團隊和組織從其數據資產中提取所需的價值。《使用 BigQuery 的數據探索和準備》為這些挑戰提供了一個整體解決方案。

本書從 BigQuery 的基礎開始,同時涵蓋數據探索和準備的基本原則。然後進一步展示如何使用 BigQuery 進行這些任務,並探索您在 Google Cloud 生態系統中可用的各種大數據工具。

本書不僅提供理論見解;它是一個實用的伴侶,指導您如何正確結構化表格以提高查詢效率,並確保遵循數據準備的最佳實踐。您還將學習何時使用 Dataflow、BigQuery 和 Dataprep 進行 ETL 和 ELT 工作流程。本書將巧妙地引導您通過各種案例研究,展示如何使用 BigQuery 解決現實世界的數據問題。

在本書結束時,您將掌握使用 SQL 在 BigQuery 中探索和準備數據集,從數據中解鎖更深層的見解。

您將學到什麼:


  • 評估數據集的質量並學習數據清理的最佳實踐

  • 為分析、可視化和機器學習準備數據

  • 探索 BigQuery 中的數據可視化方法

  • 將所學知識應用於現實場景和設計模式

  • 設置和組織 BigQuery 資源

  • 使用 SQL 和其他工具導航數據集

  • 實施最佳實踐以查詢 BigQuery 數據集

  • 熟練使用數據準備工具、技術和策略

本書適合誰:
本書適合希望提升其使用 BigQuery 進行數據探索和準備技能的數據分析師。它指導任何使用 BigQuery 作為數據倉庫的人從大型數據集中提取商業見解。對 SQL、報告、數據建模和轉換的基本理解將有助於理解本書所涵蓋的主題。