Google Bigquery Analytics
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Google Bigquery Analytics
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Author : Jordan Tigani
language : en
Publisher: John Wiley & Sons
Release Date : 2014-05-21
Google Bigquery Analytics written by Jordan Tigani and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-21 with Computers categories.
How to effectively use BigQuery, avoid common mistakes, and execute sophisticated queries against large datasets Google BigQuery Analytics is the perfect guide for business and data analysts who want the latest tips on running complex queries and writing code to communicate with the BigQuery API. The book uses real-world examples to demonstrate current best practices and techniques, and also explains and demonstrates streaming ingestion, transformation via Hadoop in Google Compute engine, AppEngine datastore integration, and using GViz with Tableau to generate charts of query results. In addition to the mechanics of BigQuery, the book also covers the architecture of the underlying Dremel query engine, providing a thorough understanding that leads to better query results. Features a companion website that includes all code and data sets from the book Uses real-world examples to explain everything analysts need to know to effectively use BigQuery Includes web application examples coded in Python
Google Bigquery Analytics
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Author : Jordan Tigani
language : en
Publisher: CreateSpace
Release Date : 2014-10-05
Google Bigquery Analytics written by Jordan Tigani and has been published by CreateSpace this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-05 with Computers categories.
How to effectively use BigQuery, avoid common mistakes, and execute sophisticated queries against large datasets Google BigQuery Analytics is the perfect guide for business and data analysts who want the latest tips on running complex queries and writing code to communicate with the BigQuery API. The book uses real-world examples to demonstrate current best practices and techniques, and also explains and demonstrates streaming ingestion, transformation via Hadoop in Google Compute engine, AppEngine datastore integration, and using GViz with Tableau to generate charts of query results. In addition to the mechanics of BigQuery, the book also covers the architecture of the underlying Dremel query engine, providing a thorough understanding that leads to better query results. Features a companion website that includes all code and data sets from the book Uses real-world examples to explain everything analysts need to know to effectively use BigQuery Includes web application examples coded in Python
Google Bigquery The Definitive Guide
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Author : Valliappa Lakshmanan
language : en
Publisher: O'Reilly Media
Release Date : 2019-10-23
Google Bigquery The Definitive Guide written by Valliappa Lakshmanan and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-23 with Computers categories.
Work with petabyte-scale datasets while building a collaborative, agile workplace in the process. This practical book is the canonical reference to Google BigQuery, the query engine that lets you conduct interactive analysis of large datasets. BigQuery enables enterprises to efficiently store, query, ingest, and learn from their data in a convenient framework. With this book, you’ll examine how to analyze data at scale to derive insights from large datasets efficiently. Valliappa Lakshmanan, tech lead for Google Cloud Platform, and Jordan Tigani, engineering director for the BigQuery team, provide best practices for modern data warehousing within an autoscaled, serverless public cloud. Whether you want to explore parts of BigQuery you’re not familiar with or prefer to focus on specific tasks, this reference is indispensable.
Google Bigquery Analytics
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Author : Jordan Tigani
language : en
Publisher: John Wiley & Sons
Release Date : 2014-06-09
Google Bigquery Analytics written by Jordan Tigani and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-09 with Computers categories.
How to effectively use BigQuery, avoid common mistakes, and execute sophisticated queries against large datasets Google BigQuery Analytics is the perfect guide for business and data analysts who want the latest tips on running complex queries and writing code to communicate with the BigQuery API. The book uses real-world examples to demonstrate current best practices and techniques, and also explains and demonstrates streaming ingestion, transformation via Hadoop in Google Compute engine, AppEngine datastore integration, and using GViz with Tableau to generate charts of query results. In addition to the mechanics of BigQuery, the book also covers the architecture of the underlying Dremel query engine, providing a thorough understanding that leads to better query results. Features a companion website that includes all code and data sets from the book Uses real-world examples to explain everything analysts need to know to effectively use BigQuery Includes web application examples coded in Python
Learning Google Bigquery
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Author : Thirukkumaran Haridass
language : en
Publisher:
Release Date : 2017-12-22
Learning Google Bigquery written by Thirukkumaran Haridass and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-22 with Computers categories.
Get a fundamental understanding of how Google BigQuery works by analyzing and querying large datasets Key Features Get started with BigQuery API and write custom applications using it Learn how BigQuery API can be used for storing, managing, and query massive datasets with ease A practical guide with examples and use-cases to teach you everything you need to know about Google BigQuery Book Description Google BigQuery is a popular cloud data warehouse for large-scale data analytics. This book will serve as a comprehensive guide to mastering BigQuery, and how you can utilize it to quickly and efficiently get useful insights from your Big Data. You will begin with getting a quick overview of the Google Cloud Platform and the various services it supports. Then, you will be introduced to the Google BigQuery API and how it fits within in the framework of GCP. The book covers useful techniques to migrate your existing data from your enterprise to Google BigQuery, as well as readying and optimizing it for analysis. You will perform basic as well as advanced data querying using BigQuery, and connect the results to various third party tools for reporting and visualization purposes such as R and Tableau. If you're looking to implement real-time reporting of your streaming data running in your enterprise, this book will also help you. This book also provides tips, best practices and mistakes to avoid while working with Google BigQuery and services that interact with it. By the time you're done with it, you will have set a solid foundation in working with BigQuery to solve even the trickiest of data problems. What you will learn Get a hands-on introduction to Google Cloud Platform and its services Understand the different data types supported by Google BigQuery Migrate your enterprise data to BigQuery and query it using the legacy and standard SQL techniques Use partition tables in your project and query external data sources and wild card tables Create tables and data sets dynamically using the BigQuery API Perform real-time inserting of records for analytics using Python and C# Visualize your BigQuery data by connecting it to third party tools such as Tableau and R Master the Google Cloud Pub/Sub for implementing real-time reporting and analytics of your Big Data Who this book is for If you are a developer, data analyst, or a data scientist looking to run complex queries over thousands of records in seconds, this book will help you. No prior experience of working with BigQuery is assumed.
Mastering Bigquery
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Author : Robert Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-01-09
Mastering Bigquery written by Robert Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-09 with Computers categories.
"Mastering BigQuery: Scalable Analytics on Google Cloud" is an authoritative guide designed to equip readers with the comprehensive skills needed to harness the full potential of Google's BigQuery platform. From setting up your initial environment to executing complex SQL queries and optimizing performance, this book offers a structured approach that caters to both beginners and experienced data professionals. Delve into the intricacies of BigQuery's architecture and discover its serverless capabilities that eliminate infrastructure management while providing robust data processing power. The book navigates through essential topics such as data ingestion, real-time analytics, and advanced features, including machine learning integration. Each chapter is crafted to build systematically on the last, offering insights into best practices for data management, security, and cost-effective operations. With its practical focus and clear explanations, "Mastering BigQuery" provides the tools and knowledge required to transform vast quantities of raw data into actionable intelligence, helping you drive impactful data-driven decisions within your organization.
Learn Google Bigquery
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Author : Diego Rodrigues
language : en
Publisher: Independently Published
Release Date : 2025-10-06
Learn Google Bigquery written by Diego Rodrigues and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-06 with Computers categories.
LEARN GOOGLE BIGQUERY Master Serverless Data Warehouse and Production-Scale Analytics This book is intended for data students and professionals seeking to master large-scale data analysis, integration, and automation using Google BigQuery in the most demanding market scenarios. Structured for immediate application, the content covers everything from cloud environment setup, efficient data ingestion, partitioned table modeling, and clustering to advanced SQL for analytical processing, integration with Dataflow, Data Studio, Looker, and automation of BI and machine learning workflows. You will execute: - Provisioning Google Cloud projects and datasets - Ingesting, partitioning, and clustering large volumes - Analytical modeling with SQL optimized for BigQuery - Integrating with Dataflow, Data Studio, and Looker pipelines - Automating ETL routines and data governance - Orchestrating jobs, monitoring, and performance tuning - Applying native machine learning and integrating external APIs By the end, you will be able to implement professional solutions for data analysis, BI, automation, and machine learning, aligned with the needs of modern organizations and scalable projects. bigquery, google cloud, data analysis, advanced sql, bi, dataflow, etl, clustering, machine learning, governance
Visual Analytics With Tableau
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Author : Alexander Loth
language : en
Publisher: John Wiley & Sons
Release Date : 2019-05-07
Visual Analytics With Tableau written by Alexander Loth and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-07 with Computers categories.
A four-color journey through a complete Tableau visualization Tableau is a popular data visualization tool that’s easy for individual desktop use as well as enterprise. Used by financial analysts, marketers, statisticians, business and sales leadership, and many other job roles to present data visually for easy understanding, it’s no surprise that Tableau is an essential tool in our data-driven economy. Visual Analytics with Tableau is a complete journey in Tableau visualization for a non-technical business user. You can start from zero, connect your first data, and get right into creating and publishing awesome visualizations and insightful dashboards. • Learn the different types of charts you can create • Use aggregation, calculated fields, and parameters • Create insightful maps • Share interactive dashboards Geared toward beginners looking to get their feet wet with Tableau, this book makes it easy and approachable to get started right away.
Tableau Your Data
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Author : Daniel G. Murray
language : en
Publisher: John Wiley & Sons
Release Date : 2013-11-11
Tableau Your Data written by Daniel G. Murray and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-11 with Computers categories.
Best practices and step-by-step instructions for using the Tableau Software toolset Although the Tableau Desktop interface is relatively intuitive, this book goes beyond the simple mechanics of the interface to show best practices for creating effective visualizations for specific business intelligence objectives. It illustrates little-known features and techniques for getting the most from the Tableau toolset, supporting the needs of the business analysts who use the product as well as the data and IT managers who support it. This comprehensive guide covers the core feature set for data analytics, illustrating best practices for creating and sharing specific types of dynamic data visualizations. Featuring a helpful full-color layout, the book covers analyzing data with Tableau Desktop, sharing information with Tableau Server, understanding Tableau functions and calculations, and Use Cases for Tableau Software. Includes little-known, as well as more advanced features and techniques, using detailed, real-world case studies that the author has developed as part of his consulting and training practice Explains why and how Tableau differs from traditional business information analysis tools Shows you how to deploy dashboards and visualizations throughout the enterprise Provides a detailed reference resource that is aimed at users of all skill levels Depicts ways to leverage Tableau across the value chain in the enterprise through case studies that target common business requirements Endorsed by Tableau Software Tableau Your Data shows you how to build dynamic, best-of-breed visualizations using the Tableau Software toolset.
Dbt Analytics Engineering Ithome
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Author : 謝秉芳（Karen Hsieh）、黃郁豪（Bruce Huang）、韓衣錦（Michael Han）、羅可涵（Stacy Lo）
language : zh-CN
Publisher: 博碩文化
Release Date : 2024-11-15
Dbt Analytics Engineering Ithome written by 謝秉芳（Karen Hsieh）、黃郁豪（Bruce Huang）、韓衣錦（Michael Han）、羅可涵（Stacy Lo） and has been published by 博碩文化 this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-15 with Computers categories.
♛ 第一本 dbt 繁體中文書 ♛ 資料分析師與工程師必讀的技術及職涯實戰指南 本書改編自第 15 屆 iThome 鐵人賽 AI & Data 組優選系列文章《被 dbt 帶入門的數據工作體驗 30 想》及其團隊夥伴作品。四位作者由不同身份和視角出發，分享如何透過 dbt 實踐 Analytics Engineering（分析工程）。 dbt 是一個以 SQL 為基底的開源資料轉換工具，採用軟體工程原則，如版本控制、測試、模組化，讓資料轉換更可靠且高效。本書將帶你動手建立 dbt 專案，親自體驗其優勢。 Analytics Engineering 則是隨著資料產業演化而發展出的新興領域，介於資料分析和資料工程之間，且和兩者的部分任務重疊。 除技術外，書中也會討論資料文化、如何打造資料團隊，以及資料專業的職涯規劃和發展。無論新手或老手，本書都是能為你提供獨到見解的實用指南。 【重點摘要】 ✦ dbt 由淺入深 dbt Cloud 及 dbt Core 實作應用 ✦ 動手操作 附範例、語法、操作截圖 ✦ 資料分析必備 資料品質及建模最佳實踐 ✦ 打造資料文化 資料團隊現代化經典案例 【目標讀者】 任何工作中使用資料的人。包含： ◆ 參與資料專案的成員，不論你在資料部門，或是支援資料專案的軟體部門。你負責資料轉換成資訊的過程，想嘗試新工具，解決原本資料流程遇到的痛點。 ◆ 在工作上經常使用資料的角色，例如：行銷、Sales、PM、財務、營運人員等。你對資料、報表有好奇心、想知道資料轉換成資訊的過程，並且喜歡動手操作。 【專業推薦】 透過真實案例與深入見解，引導你有效導入 dbt，營造資料驅動環境。無論你是資料處理老手或新手，本書皆提供所需知識與工具，幫助組織進入資料引導決策的未來。 ──── 高嘉良（CL Kao）｜Recce, CEO 這本書涵蓋了打造優秀數據團隊所需的全方位知識，不僅適合技術人員閱讀，也非常適合產品經理、商業分析師等角色參考。 ──── Richard Lee｜TNL Mediagene 技術長 因緣際會被我推坑的 Taipei dbt Meetup 熱血志工群，融合真實經驗，以案例故事呈現 Data 如何貫穿企業，讓你認識 dbt 並一窺 Data Team 的重要定位。 ──── 陳正瑋（艦長）｜DevOps Taiwan Community 志工／前 Organizer