A friendly, framework-agnostic tutorial that will help you grok how streaming systems work—and how to build your own! In Grokking Streaming Systems you will learn how to: - Implement and troubleshoot streaming systems - Design streaming systems for complex functionalities - Assess parallelization requirements - Spot networking bottlenecks and resolve back pressure - Group data ...(展开全部)

A friendly, framework-agnostic tutorial that will help you grok how streaming systems work—and how to build your own! In Grokking Streaming Systems you will learn how to: - Implement and troubleshoot streaming systems - Design streaming systems for complex functionalities - Assess parallelization requirements - Spot networking bottlenecks and resolve back pressure - Group data ...(展开全部)

Unlike traditional information systems which work by issuing requests and waiting for responses, event-driven systems are designed to process events as they occur, allowing the system to observe, react dynamically, and issue personalized data depending on the recipient and situation. Event Processing in Action introduces the major concepts of event-driven architectures and show...(展开全部)

Contemporary philosophy, from Kant through Bergson and Husserl to Heidegger, has assumed that time must be conceived as a fundamental determination of the subject: Time is not first in things but arises from actions, attitudes, or comportments through which a subject temporalizes mtime, expecting or remembering, anticipating the future or making a decision. Event and Time trace...(展开全部)

To build analytics tools that provide faster insights, knowing how to process data in real time is a must, and moving from batch processing to stream processing is absolutely required. Fortunately, the Spark in-memory framework/platform for processing data has added an extension devoted to fault-tolerant stream processing: Spark Streaming. If you're familiar with Apache Spark a...(展开全部)

Construct a robust end-to-end solution for analyzing and visualizing streaming data Real-time analytics is the hottest topic in data analytics today. In Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data, expert Byron Ellis teaches data analysts technologies to build an effective real-time analytics platform. This platform can then be used to make sense of ...(展开全部)

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 a...(展开全部)