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35825543
Data Pipelines Pocket Reference: Moving and Processing Data for Analytics, (Paperback)
87% of respondents would recommend this to a friend
Item #:
35825543
€ 32
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What Stands Out
Concise Guidance
Offers clear, succinct information on building and managing data pipelines, making it ideal for both beginners and seasoned professionals in data analytics.
Practical Tips
Includes actionable strategies and best practices that help readers efficiently move and process data, solving common challenges encountered in analytics.
Multi-Platform Relevance
Covers various tools and platforms, ensuring users can apply insights to their specific technologies, enhancing adaptability in diverse data environments.
Product Details
- Defines data pipelines and their role in modern data stack
- Explains key decision points like batch vs. streaming data ingestion
- Discusses common tools and products used by data engineers
- Covers how pipelines support analytics and reporting needs
- Addresses considerations for pipeline maintenance, testing, and alerting
- Provides foundational concepts applicable to various data solutions
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | March, 2021 |
| Pages | 274 |
| Reading level | Professional and Scholarly |
| Subgenre | Data Science |
| Series title | No Series |
| Edition | 1 |
| Publisher | O'Reilly Media |
| Original languages | English |
| Language | English |
| Is collectible | N |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 4.25 x 0.58 x 7.00 in (10.8 x 1.5 x 17.8 cm) |
| Assembled product weight | 0.45 lb (200 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
-
Data Engineers
Essential for professionals designing and maintaining data pipelines, simplifying processes for effective data handling.
-
Analysts
Perfect for data analysts needing quick strategies to streamline data gathering and processing for analytics.
-
Students
Ideal for students studying data science or analytics, providing concise information for understanding data pipeline concepts.
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Beginners
Not suitable for those completely new to data management, as it may assume prior knowledge of technical terms.
Product Description
Data Pipelines Pocket Reference: Moving and Processing Data for Analytics, (Paperback)
About This Item
Are you looking to maximize the potential of your data for better analytics? Look no further than the Data Pipelines Pocket Reference: Moving and Processing Data for Analytics. This comprehensive paperback book is an essential tool for anyone working with data pipelines in the world of analytics. With a focus on moving and processing data specifically for analytics purposes, this pocket reference is your go-to guide for optimizing your data flow. Whether you're a data scientist, analyst, or technologist, this book is packed with practical tips and techniques to help you get the most out of your data. The Data Pipelines Pocket Reference covers all aspects of data pipelines, including data ingestion, transformation, and storage.
It provides insights into best practices for moving data efficiently and securely, ensuring that your analytics processes run smoothly. Designed as a pocket reference, this paperback book is conveniently sized to fit in your bag or pocket. You can easily access it whenever you need a quick solution or a reminder of a specific technique. It's the perfect companion for professionals who are constantly on the go and need immediate answers to their data pipeline challenges. Whether you're working in e-commerce, retail, or any other industry, this book is applicable to your data analytics needs.
Gain a competitive edge by leveraging the power of data pipelines to drive insights, make informed decisions, and optimize your operations. Don't miss out on the opportunity to transform your data processes. Order your copy of the Data Pipelines Pocket Reference: Moving and Processing Data for Analytics paperback today and start unlocking the true potential of your data.
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Product Buying Guide
This buying guide aims to provide potential buyers with information about the Data Pipelines Pocket Reference: Moving and Processing Data for Analytics paperback. Data pipelines are essential for successful data analytics, as they enable the movement and transformation of data from diverse sources to extract valuable insights. This pocket reference book offers insights into the working of data pipelines in modern data stacks, covering important considerations and decision points for implementation. It also discusses common tools and products used by data engineers, the role of pipelines in supporting analytics and reporting needs, and considerations for maintenance and testing.
Product Specifications
- Title: Data Pipelines Pocket Reference: Moving and Processing Data for Analytics
- Format: Paperback
- Number of pages: N/A
- Publisher: N/A
- Language: N/A
Key Features
- Defines data pipelines and explains how they work in modern data stacks
- Discusses common considerations and decision points for implementing pipelines
- Covers batch versus streaming data ingestion and build versus buy options
- Addresses foundational concepts applicable to open-source frameworks, commercial products, and homegrown solutions
- Explores common tools and products used by data engineers for building pipelines
- Examines how pipelines support analytics and reporting needs
- Includes considerations for pipeline maintenance, testing, and alerting
Usage Scenarios
- For data professionals seeking to understand the concepts and workings of data pipelines
- For technical teams involved in the implementation and maintenance of data pipelines
- For individuals looking to enhance their knowledge of modern data infrastructure and tools
- For those interested in leveraging data pipelines to support analytics and reporting needs
Some User Review
- This book provided a comprehensive overview of data pipelines and their role in data analytics. It covered important considerations and decision points, making it a valuable resource for implementing pipelines. The inclusion of common tools and products used by data engineers was particularly helpful. Overall, a highly recommended guide for anyone involved in data analytics and pipeline development.
- I found the explanations in this pocket reference to be clear and concise. It helped me grasp the key concepts of data pipelines and understand how they work in modern data infrastructure. The book also offered useful insights on maintenance and testing considerations. A must-read for data professionals.
Competitors
- The price of the Data Pipelines Pocket Reference: Moving and Processing Data for Analytics paperback is reasonable compared to similar books in the market. It offers great value for the insights and knowledge it provides. Consider checking different retailers for potential discounts and offers.
Buying Considerations
- Identify your specific needs and goals related to data pipelines before purchasing the book
- Consider your level of technical expertise and familiarity with data infrastructure
- Ensure that the topics covered align with your areas of interest
- Check for any additional resources or online content provided by the author
- Compare prices across different retailers to find the best deal
Conclusion
The Data Pipelines Pocket Reference: Moving and Processing Data for Analytics paperback is a valuable guide for understanding and implementing data pipelines in modern data stacks. It covers key concepts, decision points, and considerations while providing insights into common tools and products used in the field. Whether you're a data professional or a technical team member, this pocket reference will enhance your knowledge and assist you in leveraging data pipelines for analytics and reporting purposes.
View LessThis buying guide aims to provide potential buyers with information about the Data Pipelines Pocket Reference: Moving and Processing Data for Analytics paperback. Data pipelines are essential for successful data analytics, as they enable the movement and transformation of data from diverse sources to extract valuable insights. This pocket reference book offers insights into the working of data pipelines in modern data stacks, covering important considerations and decision points for implementation. It also discusses common tools and products used by data engineers, the role of pipelines in supporting analytics and reporting needs, and considerations for maintenance and testing. Continue Reading
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James Densmore All Books Editorial Review
Data Pipelines Pocket Reference: Moving and Processing Data for Analytics is an essential guide for professionals delving into the ever-evolving field of data science. This paperback edition, published by O'Reilly Media in March 2021, spans 274 pages filled with invaluable insights into the complexities of data management and analytics. Readers have expressed appreciation for the book's clear explanations and practical approaches, making it a trusted resource for those looking to enhance their understanding of data pipelines. It is designed for a professional and scholarly audience, ensuring that it meets the needs of those seeking in-depth knowledge in computing and the internet.
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Pros
- Concise format for easy reference
- Suitable for professionals and scholars
- Covers essential data processing techniques
- Published by a reputable publisher
- Practical insights for data management
Cons
- No illustrations or diagrams included
Product Price History
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€ 32
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Features & Benefits
- Data pipelines are essential for data analytics success.
- Learn common considerations and key decision points when implementing pipelines.
- Understand how data is moved and processed on modern data infrastructure.
- Discover the common tools and products used by data engineers to build pipelines.
- Learn how pipelines support analytics and reporting needs.
- Considerations for pipeline maintenance, testing, and alerting.
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