Segundo podcast da confraria dos arquitetos com a participação de Rafael Souza, Christophe Marchal, Matheus Boschetti, Jackson dos Santos. Neste episódio falamos sobre Complex Event Processing e Event Stream Processing.

Podcast Confraria dos Arquitetos - Episódio 02 - CEP e ESP

Black talks | CEO Damian Black is joined by Dr. Robin Bloor of The Bloor Group, Dale Skeen of Vitria and William Bain of ScaleOut Software in a discussion about the impact of operational intelligence.  
The rise of operational intelligence speaks to the remarkable transformation taking place right now in the field of information management. A whole range of new, powerful technologies are creating visibility into real-time processes, enabling agility and responsiveness like never before.

Right About Now: The Disruptive Force of Operational Analytics

O'Reilly's Ben Lorica talks with Mikio Braun about machine learning, stream processing and analytics, his recent foray into data science training, and academia versus industry.

Building Big Data Systems in Academia and Industry

Google engineer Tyler Akidau on the evolution of stream processing, the challenges of building systems that scale to massive data sets, and the recent surge in interest in all things real time.

Building Systems for Massive Scale Data Applications

In this O’Reilly Podcast, Ben Lorica talks with John Hugg, founding engineer and manager of developer outreach at VoltDB. From the deluge of today's diverse data, Hugg describes how to extract meaningful information to make things cheaper and faster.

Streaming data + stream processing = information

In this episode of the Data Show, I spoke with Karthik Ramasamy, adjunct faculty member at UC Berkeley, former engineering manager at Twitter, and co-founder of Streamlio. Ramasamy managed the team that built Heron, an open source, distributed stream processing engine, compatible with Apache Storm.  While Ramasamy has seen firsthand what it takes to build and deploy large-scale distributed systems (within Twitter, he worked closely with the team that built DistributedLog), he is first and foremost interested in designing and building end-to-end applications. As someone who organizes many conferences, I’m all too familiar with the vast array of popular big data frameworks available. But, I also know that engineers and architects are most interested in content and material that helps them cut through the options and decisions.

Architecting and Building End-to-End Streaming Applications

O'Reilly Media spreads the knowledge of innovators. At O’Reilly, a big part of our business is paying attention to what’s new and interesting in the world of technology. We have a pretty good record at having anticipated some of the big technology developments in recent history. For instance, we launched the first commercial Web site, GNN, in 1993; we organized the meeting at which the term “open source” was first adopted; we were early investors in Blogger, which helped launch the blogging revolution; and more recently, our Web 2.0 conference launched a world-wide meme. We call this predictive sense the “O’Reilly Radar.” And while we’re certainly not always right, we are, at least, good at making interesting guesses.

Our methodology is simple: we draw from the wisdom of the alpha geeks in our midst, paying attention to what’s interesting to them, amplifying these weak signals, and seeing where they fit into the innovation ecology. Add to that the original research conducted by our Research team, and you start to get a good picture of what the technology world is thinking about.

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