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Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale
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243243395
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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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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 | 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 |
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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Product Buying Guide
Google BigQuery: The Definitive Guide is a comprehensive resource for anyone looking to work with petabyte-scale datasets and conduct interactive analysis. This book serves as the canonical reference to Google BigQuery, a powerful query engine that allows for efficient data storage, querying, and learning. Written by experts in the field, this guide provides best practices and practical insights for modern data warehousing and analytics in a serverless public cloud environment.
Product Specifications
- Title: Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale 1st Edition
- Authors: Valliappa Lakshmanan, Jordan Tigani
- Edition: 1st Edition
Key Features
- Work with petabyte-scale datasets
- Conduct interactive analysis
- Efficiently store, query, ingest, and learn from data
- Best practices for modern data warehousing
- Autoscaled, serverless public cloud
- Comprehensive guide for all levels of expertise
Usage Scenarios
- Analyzing large datasets efficiently
- Deriving insights from data at scale
- Building a collaborative, agile workplace
- Exploring and mastering Google BigQuery
- Implementing data warehousing and analytics best practices
- Leveraging machine learning capabilities
Usage Scenarios
- Amazon Redshift
- Snowflake
- Microsoft Azure Synapse Analytics
Some User Review
- The definitive guide for anyone working with BigQuery. It covers everything from basic concepts to advanced techniques. Highly recommended!
- I found this book to be incredibly helpful in leveraging BigQuery for our data analytics projects. The authors provide clear explanations and practical examples.
- As a beginner in data warehousing and analytics, this guide was a game-changer for me. It helped me understand the concepts and apply them in real-world scenarios.
Competitors
- Competitive
- Affordable
- Reasonable
Buying Considerations
- Level of expertise: Suitable for beginners and experienced professionals
- Focus: Covers a wide range of topics related to BigQuery, making it a comprehensive reference
- Price: Offers good value for the knowledge and practical insights provided
- Relevance: Recommended for individuals and organizations working with large datasets and data warehousing
Conclusion
Google BigQuery: The Definitive Guide is an essential resource for anyone seeking to leverage the power of Google BigQuery for data warehousing, analytics, and machine learning. With its comprehensive coverage, practical examples, and best practices, this book is a valuable asset for beginners and experienced professionals alike.
View LessGoogle BigQuery: The Definitive Guide is a comprehensive resource for anyone looking to work with petabyte-scale datasets and conduct interactive analysis. This book serves as the canonical reference to Google BigQuery, a powerful query engine that allows for efficient data storage, querying, and learning. Written by experts in the field, this guide provides best practices and practical insights for modern data warehousing and analytics in a serverless public cloud environment. Continue Reading
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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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