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Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale
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This practical book is the canonical reference to Google BigQuery, the query engine that lets you conduct interactive analysis of large datasets.
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What Stands Out
Product Details
- Canonical reference to Google BigQuery for interactive analysis of large datasets
- Best practices for modern data warehousing within autoscaled, serverless public cloud
- Enables efficient storage, query, ingest, and learning from data in a convenient framework
- Suitable for data analysts, engineers, and scientists for deriving insights from large datasets
- Supports SQL, columnar optimization, federated queries, native machine learning, and geospatial analysis
- Interoperates with traditional and modern systems, supporting wide range of throughput and latency
| Publisher | O'Reilly Media |
| Publication date | December 3, 2019 |
| Edition | 1st |
| Language | English |
| Print length | 498 pages |
| ISBN-10 | 1492044466 |
| ISBN-13 | 978-1492044468 |
| Item Weight | 1.75 pounds (790 grams) |
| Dimensions | 7 x 1.05 x 9.19 inches (17.8 x 2.7 x 23.3 cm) |
Who Should Buy?
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Data Engineers
Ideal for data engineers seeking to design and manage scalable data architectures and perform advanced data analytics.
-
Data Scientists
Perfect for data scientists who require powerful tools for data analysis and machine learning on large datasets.
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Business Analysts
Great for business analysts needing insights from data using SQL queries and integrated analysis within BigQuery.
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Beginners
Not suitable for beginners with no prior experience in data warehousing or familiarity with Google Cloud services.
Product Description
Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale
About This Item
Introducing the "Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale" 1st Edition. Are you an e-commerce business looking to harness the power of data to drive growth and make informed decisions? Look no further! This comprehensive guide, written by industry experts, is the ultimate resource for understanding and utilizing Google BigQuery to unlock the full potential of your e-commerce data. With BigQuery, you can effortlessly analyze vast amounts of data in real-time, allowing you to make data-driven decisions that will propel your online business forward. Whether you are a small startup or an established retailer, this book will provide you with the essential techniques and strategies to leverage BigQuery effectively. This 1st edition of "Google BigQuery: The Definitive Guide" covers a wide range of topics, including data warehousing, analytics, and machine learning.
You'll learn how to optimize BigQuery for e-commerce, utilize machine learning algorithms to gain valuable insights, and implement predictive analytics for better forecasting. Furthermore, this guide delves into the intricacies of data modeling for e-commerce, providing you with the knowledge to design a robust and efficient data warehouse that meets the unique needs of your online business. You'll also discover advanced techniques for e-commerce personalization, allowing you to deliver tailored experiences to your customers and drive customer loyalty. Whether you are just getting started with BigQuery or are looking to enhance your existing knowledge, this book offers a wealth of practical examples and real-world use cases that will help you master BigQuery and transform your e-commerce analytics. Don't miss out on this opportunity to revolutionize your e-commerce business with Google BigQuery. Get your copy of "Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale" 1st Edition today and embark on a journey towards data-driven success in the online retail industry.
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Data Mining Editorial Review
Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale is a comprehensive and detailed guidebook for anyone seeking to learn about BigQuery, from beginners to experienced users. The author provides excellent examples and covers all the necessary topics that one needs to know to work with BigQuery. The book also includes up to date information on the new feature set. The writing style is clear and concise. Although the book is a few years old, it is still useful.
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Pros
- Clearly written
- Great examples
- Comprehensive and detailed
- Up to date on new feature set
Cons
- One reviewer stated that the printed version should have been in color as the black and white graphics and tables were unclear to read and understand.
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Features & Benefits
- Examine how to analyze data at scale to derive insights from large datasets
- Best practices for modern data warehousing within an autoscaled, serverless public cloud
- Indispensable reference to explore and learn about Google BigQuery
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