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Esper - Complex Event Processing

Esper - Complex Event Processing
Event Processing with Esper and NEsper Esper is a component for complex event processing (CEP) and event series analysis, available for Java as Esper, and for .NET as NEsper. Esper and NEsper enable rapid development of applications that process large volumes of incoming messages or events, regardless of whether incoming messages are historical or real-time in nature. Esper and NEsper filter and analyze events in various ways, and respond to conditions of interest. Esper and Event Processing Language (EPL) provide a highly scalable, memory-efficient, in-memory computing, SQL-standard, minimal latency, real-time streaming-capable Big Data processing engine for historical data, or medium to high-velocity data and high-variety data. Technology Introduction

Related:  CQRS, Event Sourcing, CEP

Drools Fusion Complex Event Process What is Event Processing (or Complex Event Processing, CEP)? Vision Features Use Cases Complex Event Processing Real-time Processing (Spark, Puma, HOP) Spark Streaming Spark Streaming is an interesting extension to Spark that adds support for continuous stream processing to Spark. Spark Streaming is in active development at UC Berkeley's amplab alongside the rest of the Spark project. The group recently gave a presentation at AmpCamp 2012 and the video gives a pretty good overview. If you'd like to follow along with the video with your own copy of the slides you can obtain them here. The full paper for Spark Streaming can also be obtained from this link for more detailed information.

Event-Driven SOA: Events meet Services by Guido Schmutz Achieve extreme loose coupling within a Service-Oriented Architecture by using event-driven interactions. Published July 2011 What Is StreamInsight? A Primer for Non-Programmers - Microsoft StreamInsight Are you trying to figure out whether StreamInsight might be something you could use, but you’re having trouble sifting through all the programming jargon that’s used to describe it? StreamInsight is, ultimately, a set of programming tools, and at some point it takes a programmer to implement a StreamInsight solution. But it really should be possible to get a handle on what StreamInsight is all about even if you’re not a programmer yourself. A new article published in the TechNet Wiki may be able to help: StreamInsight for Non-Programmers .

Event Sourcing Capture all changes to an application state as a sequence of events. We can query an application's state to find out the current state of the world, and this answers many questions. However there are times when we don't just want to see where we are, we also want to know how we got there. Event Sourcing ensures that all changes to application state are stored as a sequence of events. Not just can we query these events, we can also use the event log to reconstruct past states, and as a foundation to automatically adjust the state to cope with retroactive changes. StreamInsight for Non-Programmers - TechNet Articles - United States (English) Queries are the heart of StreamInsight. You can define one or more queries that pick through the data of a moving stream, looking for interesting values or patterns. For example, you might define a query over a stock ticker stream that watches for large and rapid fluctuations in a particular stock price. The query language used in StreamInsight is a variation of LINQ ( Language-Integrated Query ). Similar to the way T-SQL allows you to query SQL databases, StreamInsight LINQ allows you to query streaming data.

Complex Event Processing Made Simple Using Esper Introduction to Complex Event Processing (CEP) Event processing has been at the heart of any computing system for more then a decade. A common challenge across industries is to be able to extract actionable intelligence from disparate event sources in the most real-time possible way. You may have experienced this yourself: you need to have some information right away, not 1 hour later. Any delay in getting the information reduces the value it has to you...and you need to know when certain things are not happening within a certain time period, not just the presence of some events. HD Insight We’ve made a nice fix to the Templeton job submission service that runs on the HDInsight clusters for remote job submission. We’ve talked with a number of customers who want to be able to get access to the logs for the jobs remotely as well. This typically requires access directly to the cluster.