Title
Streaming Systems: The What, Where, When, And How Of Largescale Data Processing
Delivery time: 8-12 business days (International)
Streaming Data Is A Big Deal In Big Data These Days. As More And More Businesses Seek To Tame The Massive Unbounded Data Sets That Pervade Our World, Streaming Systems Have Finally Reached A Level Of Maturity Sufficient For Mainstream Adoption. With This Practical Guide, Data Engineers, Data Scientists, And Developers Will Learn How To Work With Streaming Data In A Conceptual And Platformagnostic Way.Expanded From Tyler Akidau?S Popular Blog Posts Streaming 101 And Streaming 102, This Book Takes You From An Introductory Level To A Nuanced Understanding Of The What, Where, When, And How Of Processing Realtime Data Streams. You?Ll Also Dive Deep Into Watermarks And Exactlyonce Processing With Coauthors Slava Chernyak And Reuven Lax.You?Ll Explore: How Streaming And Batch Data Processing Patterns Compare The Core Principles And Concepts Behind Robust Outoforder Data Processing How Watermarks Track Progress And Completeness In Infinite Datasets How Exactlyonce Data Processing Techniques Ensure Correctness How The Concepts Of Streams And Tables Form The Foundations Of Both Batch And Streaming Data Processing The Practical Motivations Behind A Powerful Persistent State Mechanism, Driven By A Realworld Example How Timevarying Relations Provide A Link Between Stream Processing And The World Of Sql And Relational Algebra
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Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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We provide a 2-year limited warranty, from the date of purchase for all our products.
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This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Frequently Asked Questions
- Q: What is the main focus of 'Streaming Systems' by Tyler Akidau? A: The book focuses on the principles and practices of processing large-scale streaming data, providing a conceptual understanding of real-time data streams.
- Q: Who would benefit from reading this book? A: Data engineers, data scientists, and developers seeking to learn about streaming data processing will find this book particularly beneficial.
- Q: How does this book compare streaming and batch data processing? A: The book explores the differences and similarities between streaming and batch processing, helping readers understand when to use each approach.
- Q: What are watermarks and why are they important? A: Watermarks are used to track the progress and completeness of processing in infinite datasets, ensuring that data is handled correctly over time.
- Q: What does 'exactly-once processing' mean? A: Exactly-once processing ensures that each piece of data is processed one time and only one time, which is crucial for maintaining data accuracy.
- Q: Is there a focus on SQL and relational algebra in the book? A: Yes, the book discusses how time-varying relations connect stream processing with SQL and relational algebra, providing a comprehensive view of data processing.
- Q: What practical examples are included in the book? A: The book includes a real-world example to illustrate the motivations behind a powerful persistent state mechanism in streaming systems.
- Q: How many pages is the book? A: The book contains 349 pages, offering a thorough examination of streaming data systems.
- Q: When was 'Streaming Systems' published? A: The book was published on August 28, 2018.
- Q: What edition of the book is available? A: The available edition is the first edition.