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STREAMING DATA: UNDERSTANDING THE REAL-TIME PIPELINE
Título:
STREAMING DATA: UNDERSTANDING THE REAL-TIME PIPELINE
Subtítulo:
Autor:
PSALTIS, A
Editorial:
MANNING PUBLISHERS
Año de edición:
2017
Materia
BASES DE DATOS - OTROS TEMAS
ISBN:
978-1-61729-228-6
Páginas:
216
59,95 €

 

Sinopsis

Summary
Streaming Data introduces the concepts and requirements of streaming and real-time data systems. The book is an idea-rich tutorial that teaches you to think about how to efficiently interact with fast-flowing data.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
About the Technology
As humans, we´re constantly filtering and deciphering the information streaming toward us. In the same way, streaming data applications can accomplish amazing tasks like reading live location data to recommend nearby services, tracking faults with machinery in real time, and sending digital receipts before your customers leave the shop. Recent advances in streaming data technology and techniques make it possible for any developer to build these applications if they have the right mindset. This book will let you join them.
About the Book
Streaming Data is an idea-rich tutorial that teaches you to think about efficiently interacting with fast-flowing data. Through relevant examples and illustrated use cases, you´ll explore designs for applications that read, analyze, share, and store streaming data. Along the way, you´ll discover the roles of key technologies like Spark, Storm, Kafka, Flink, RabbitMQ, and more. This book offers the perfect balance between big-picture thinking and implementation details.
What´s Inside
The right way to collect real-time data
Architecting a streaming pipeline
Analyzing the data
Which technologies to use and when
About the Reader
Written for developers familiar with relational database concepts. No experience with streaming or real-time applications required.
About the Author
Andrew Psaltis is a software engineer focused on massively scalable real-time analytics.
Table of Contents
PART 1 - A NEW HOLISTIC APPROACH
Introducing streaming data
Getting data from clients: data ingestion
Transporting the data from collection tier: decoupling the data pipeline
Analyzing streaming data
Algorithms for data analysis
Storing the analyzed or collected data
Making the data available
Consumer device capabilities and limitations accessing the data
PART 2 - TAKING IT REAL WORLD
Analyzing Meetup RSVPs in real time