Streaming Data: Understanding the real-time pipeline Andrew Psaltis Author

SummaryStreaming 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 TechnologyAs 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 BookStreaming 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 InsideThe right way to collect real-time dataArchitecting a streaming pipelineAnalyzing the dataWhich technologies to use and whenAbout the ReaderWritten for developers familiar with relational database concepts. No experience with streaming or real-time applications required.About the AuthorAndrew Psaltis is a software engineer focused on massively scalable real-time analytics.Table of ContentsPART 1 - A NEW HOLISTIC APPROACHIntroducing streaming dataGetting data from clients: data ingestionTransporting the data from collection tier: decoupling the data pipelineAnalyzing streaming dataAlgorithms for data analysisStoring the analyzed or collected dataMaking the data availableConsumer device capabilities and limitations accessing the dataPART 2 - TAKING IT REAL WORLDAnalyzing Meetup RSVPs in real time