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51072631
Learning Google BigQuery: A beginner's guide to mining massive datasets through interactive analysis
Item #:
51072631
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Learning Google BigQuery will serve as a comprehensive guide to mastering BigQuery, and how you can utilize it to quickly and efficiently get useful insights from Big Data.
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Product Details
| Publisher | Packt Publishing |
| Publication date | December 22, 2017 |
| Language | English |
| Print length | 264 pages |
| ISBN-10 | 1787288595 |
| ISBN-13 | 978-1787288591 |
| Item Weight | 1.13 pounds (510 grams) |
| Dimensions | 7.5 x 0.6 x 9.25 inches (19.1 x 1.5 x 23.5 cm) |
Product Description
Learning Google BigQuery: A beginner's guide to mining massive datasets through interactive analysis
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Data Modeling & Design Editorial Review
This editorial review highlights the customer experiences and reactions to a book about Google BigQuery, which seems to cater particularly well to beginners. Reviewers Consistently commend the readability of the text and the straightforward explanations it offers about Google Cloud Services, particularly BigQuery. The book is noted for its clear structure and ease of understanding, making it suitable for newcomers to the platform. There's a strong emphasis on practical guidance, with many readers appreciating the inclusion of examples and exercises that facilitate hands-on learning. The flexibility to choose programming languages like C#.Net or Python is also a significant advantage, as it allows readers to engage with the BigQuery API in a familiar coding environment. Overall, customers have found that the book serves as a useful resource for getting started with BigQuery and effectively applying it to projects such as those on Google App Engine. However, there are mentions of technical issues with the Kindle version of the book, which have resulted in a portion of the content being unreadable. This has frustrated at least one reader, who is seeking a refund or a complete copy. Despite this drawback, the positive feedback about the book's educational value stands out, making it a recommended read for those looking to understand and utilize BigQuery. **
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Pros
- Easy to understand and follow for beginners.
- Provides clear explanations and practical examples.
- Covers a range of Google Cloud Services and their applications.
- Allows for programming in C#.Net or Python when learning the BigQuery API.
- Structured in a step-by-step manner to facilitate learning.
Cons
- Some readers experienced frustration with inaccessible content.
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Features & Benefits
- Get a fundamental understanding of Google BigQuery for analyzing large datasets.
- Learn to use the BigQuery API for storing and managing massive data.
- Migrate existing data to BigQuery and optimize it for analysis.
- Perform both basic and advanced querying techniques with SQL.
- Visualize data by connecting BigQuery to third-party tools like R and Tableau.
- Master real-time reporting using Google Cloud Pub/Sub for Big Data analytics.
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