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243243395
Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale
86% of respondents would recommend this to a friend
Nº de artículo:
243243395
PYG 545965
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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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- 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 | Ou2032Reilly |
| Publication date | 8 Nov. 2019 |
| Edition | 1st |
| Language | English |
| Print length | 498 pages |
| ISBN-10 | 1492044466 |
| ISBN-13 | 978-1492044468 |
| Item weight | 794 g |
| Dimensions | 17.78 x 2.67 x 23.34 cm |
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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 an essential resource for those looking to deepen their understanding of cloud data warehousing. Published by O'Reilly, this comprehensive guide spans 498 pages and covers everything from the foundational principles of BigQuery to advanced analytics and machine learning techniques. The content is expertly arranged to cater to both beginners and seasoned professionals, making it a valuable addition to any data scientist's library. Readers appreciate the detailed explanations and practical examples, providing clarity on complex concepts, and the unique focus on scalability in data operations.
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ventajas
- In-depth coverage of data warehousing concepts
- Useful for beginners and advanced users
- Practical examples enhance understanding
- Focus on analytics and machine learning
- Well-structured and easy to navigate
Contras
- Some readers may find it a bit lengthy
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características y beneficios
- 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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