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Item #:
44912997
Data Pipelines Pocket Reference: Moving and Processing Data for Analytics
88% of respondents would recommend this to a friend
Item #:
44912997
MUR 1283
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Data pipelines are the foundation for success in data analytics.
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What Stands Out
Concise Guidance
Offers quick, actionable insights into data pipeline creation, ensuring busy professionals can swiftly implement solutions without extensive reading, making it perfect for on-the-go reference.
Real-World Applications
Provides practical examples and scenarios that showcase the implementation of data pipelines, enabling users to understand concepts deeply and apply them in their own projects effectively.
Expert Insights
Written by industry experts, this guide imparts trusted knowledge and best practices, giving readers confidence in their data processing capabilities while enhancing their analytical skills.
Product Details
- Defines data pipelines and explains how they work in the modern data stack
- Discusses common considerations and key decision points when implementing pipelines
- Covers batch and streaming data ingestion options and build versus buy decisions
- Addresses common tools and products used by data engineers to build pipelines
- Explains how pipelines support analytics and reporting needs
- Provides considerations for pipeline maintenance, testing, and alerting
| Publisher | O'Reilly Media |
| Publication date | March 16, 2021 |
| Edition | 1st |
| Language | English |
| Print length | 274 pages |
| ISBN-10 | 1492087831 |
| ISBN-13 | 978-1492087830 |
| Item Weight | 2.31 pounds (1.05 kg) |
| Dimensions | 4 x 0.75 x 7 inches (10.2 x 1.9 x 17.8 cm) |
Who Should Buy?
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Data Engineers
Ideal for data engineers who need concise guidance on building and managing efficient data pipelines for analytics.
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Data Scientists
Useful for data scientists who require practical strategies for data processing to enhance their analytical models.
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Students in Tech
A great resource for students studying data analytics or data engineering, providing foundational knowledge in a compact format.
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Beginners in Data
Not suitable for absolute beginners without prior knowledge of data pipelines, as it lacks detailed introductory material.
Product Description
Data Pipelines Pocket Reference: Moving and Processing Data for Analytics
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MUR 1283
Order now and get it around Tuesday, October 06
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Features & Benefits
- Define data pipelines and their importance in modern data stack.
- Explore the common considerations and key decision points when implementing pipelines.
- Learn about the common tools and products used by data engineers to build pipelines.
- Understand how pipelines support analytics and reporting needs.
- Address the considerations for pipeline maintenance, testing, and alerting.
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