"A must-read for engineers and solution architects who work with streams on a regular basis." - Damian Esteban
Every action by a user or a system process generates valuable data for your application or organization. Streaming systems capture and process these events, turning disconnected bits into coherent, useful information sources. Grokking Streaming Systems is a simple guide to the complex concepts you need to start building your own streaming systems. In this friendly, framework-agnostic tutorial, you'll learn how to handle real-time events and how to design and implement a system that's a perfect fit for your needs. Each new idea is carefully explained with diagrams, clear examples, and fun dialogue between perplexed personalities!
about the technology
Many modern organizations rely on real-time event data to ensure top performance. In its raw state, most event data is unfiltered and hard to analyze. Streaming systems address this problem by processing event data so it can be used to create alerts, analysis dashboards, and automated responses, and to trigger other actions within a system. From live financial information to monitoring for signs of a DDoS attack and blocking rogue agents, streaming systems provide a big boost to the health, security, and flexibility of your applications.
about the book
Grokking Streaming Systems helps you unravel what streaming systems are, how they work, and whether they're right for your business. Written to be tool-agnostic, you'll be able to apply what you learn no matter which framework you choose. You'll start with the key concepts and then work your way through increasingly complex examples, including tracking a real-time count of IoT sensor events and detecting fraudulent credit card transactions in real-time. You'll even be able to easily experiment with your own streaming system, by downloading the custom-built and super-simplified streaming framework designed for this book. By the time you're done, you'll be able to easily assess the capabilities of streaming frameworks, and solve common challenges that arise when building streaming systems.
what's inside
- Implement and troubleshoot streaming systems
- Design streaming systems for complex functionalities
- Assess parallelization requirements
- Spot networking bottlenecks and resolve back pressures
- Group data for high-performance systems
- Handle delayed events in real-time systems
about the reader
For readers interested in data processing. Examples in Java.
about the author
Josh Fischer and Ning Wang are both Apache Committers, and part of the project management committee for the Apache Heron distributed stream processing engine. Josh is a software engineer at Scotcro and has worked with moving large datasets in real time for organizations such as 1904labs and Bayer. Ning is a software engineer at Amplitude building real-time data pipelines. He was a key contributor of Apache Heron in Twitter's Real-time Compute team.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Josh Fischer and Ning Wang are both Apache Committers, and part of the project management committee for the Apache Heron distributed stream processing engine. Josh is a software engineer at Scotcro and has worked with moving large datasets in real time for organizations such as 1904 labsand Bayer. Ning is a software engineer at Amplitude building real-time data pipelines. He was a key contributor of Apache Heron in Twitter's Real-time Compute team.
Every action by a user or a system process generates valuable data for your application or organization. Streaming systems capture and process these events, turning disconnected bits into coherent, useful information sources. Grokking Streaming Systems is a simple guide to the complex concepts you need to start building your own streamingsystems.
Written to be tool-agnostic, Grokking Streaming Systems helps you unravel what streaming systems are, how they work, and whether they're right for your business. You'll start with the key concepts and then work your way through increasingly complex examples. You'll even be able to easily experiment with your own streaming system. By the time you're done, you'll be able to easily assess the capabilities of streaming frameworks, and solve common challenges that arise when building streaming systems.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: Sugarhouse Book Works, LLC, Salt Lake City, UT, USA
paperback. Zustand: VeryGood. As pictured. Very light edge wear. No marks throughout. Carefully packed and promptly shipped. Bestandsnummer des Verkäufers 238IF8000Y15
Anzahl: 1 verfügbar
Anbieter: Goodwill of Silicon Valley, SAN JOSE, CA, USA
Zustand: good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear. Bestandsnummer des Verkäufers GWSVV.1617297305.G
Anzahl: 1 verfügbar
Anbieter: INDOO, Avenel, NJ, USA
Zustand: As New. Unread copy in mint condition. Bestandsnummer des Verkäufers SS9781617297304
Anzahl: Mehr als 20 verfügbar
Anbieter: INDOO, Avenel, NJ, USA
Zustand: New. Brand New. Bestandsnummer des Verkäufers 9781617297304
Anzahl: Mehr als 20 verfügbar
Anbieter: Rarewaves USA, OSWEGO, IL, USA
Paperback. Zustand: New. "A must-read for engineers and solution architects who work with streams on a regular basis." - Damian Esteban Every action by a user or a system process generates valuable data for your application or organization. Streaming systems capture and process these events, turning disconnected bits into coherent, useful information sources. Grokking Streaming Systems is a simple guide to the complex concepts you need to start building your own streaming systems. In this friendly, framework-agnostic tutorial, you'll learn how to handle real-time events and how to design and implement a system that's a perfect fit for your needs. Each new idea is carefully explained with diagrams, clear examples, and fun dialogue between perplexed personalities! about the technologyMany modern organizations rely on real-time event data to ensure top performance. In its raw state, most event data is unfiltered and hard to analyze. Streaming systems address this problem by processing event data so it can be used to create alerts, analysis dashboards, and automated responses, and to trigger other actions within a system. From live financial information to monitoring for signs of a DDoS attack and blocking rogue agents, streaming systems provide a big boost to the health, security, and flexibility of your applications. about the bookGrokking Streaming Systems helps you unravel what streaming systems are, how they work, and whether they're right for your business. Written to be tool-agnostic, you'll be able to apply what you learn no matter which framework you choose. You'll start with the key concepts and then work your way through increasingly complex examples, including tracking a real-time count of IoT sensor events and detecting fraudulent credit card transactions in real-time. You'll even be able to easily experiment with your own streaming system, by downloading the custom-built and super-simplified streaming framework designed for this book. By the time you're done, you'll be able to easily assess the capabilities of streaming frameworks, and solve common challenges that arise when building streaming systems. what's inside- Implement and troubleshoot streaming systems- Design streaming systems for complex functionalities- Assess parallelization requirements- Spot networking bottlenecks and resolve back pressures- Group data for high-performance systems- Handle delayed events in real-time systems about the readerFor readers interested in data processing. Examples in Java. about the authorJosh Fischer and Ning Wang are both Apache Committers, and part of the project management committee for the Apache Heron distributed stream processing engine. Josh is a software engineer at Scotcro and has worked with moving large datasets in real time for organizations such as 1904labs and Bayer. Ning is a software engineer at Amplitude building real-time data pipelines. He was a key contributor of Apache Heron in Twitter's Real-time Compute team. Bestandsnummer des Verkäufers LU-9781617297304
Anbieter: Basi6 International, Irving, TX, USA
Zustand: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. Bestandsnummer des Verkäufers ABEOCT25-12516
Anbieter: Books Puddle, New York, NY, USA
Zustand: New. 1st edition NO-PA16APR2015-KAP. Bestandsnummer des Verkäufers 26384636256
Anzahl: 2 verfügbar
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. Bestandsnummer des Verkäufers ABBB-23259
Anbieter: Basi6 International, Irving, TX, USA
Zustand: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. Bestandsnummer des Verkäufers ABEOCT25-275470
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Zustand: New. Bestandsnummer des Verkäufers 379235007
Anzahl: 2 verfügbar