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Data Engineering with David Drummond and Austin Ouyang
“We want people to be able to pick up whatever tool it is and really push themselves to get something done with it in a short amount of time, because that’s ultimately what they need to do as a data...
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Stream Processing with Satish Mittal
“We still need to see in the long run how much of community and industry adoption is there. Because at the end of the day, these are the single two most important things which define and determine the...
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TensorFlow with Greg Corrado
“You don’t mind if failures slow things down, but its very important that failures do not stop forward progress.” TensorFlow is an open source machine learning library intended to bring large-scale,...
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Demystifying Stream Processing with Neha Narkhede
“Systems are giving up correctness for latency, and I’m arguing that stream processing systems have to be designed to allow the user to pick the tradeoffs that the application needs.” The stream...
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Mesos and Docker in Practice with Michael Hausenblas
Apache Mesos is an open-source cluster manager that enables resource sharing in a fine-grained manner, improving cluster utilization. Michael Hausenblas is a developer and cloud advocate with...
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Distributed Systems with Alvaro Videla
“Every vendor will advertise that their system is better – that’s nice, I understand you need to sell your thing, but what am I gaining as a user and what am I sacrificing as a user by choosing your...
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Architecting Distributed Databases with Fangjin Yang
“The more you’re comfortable with this idea that everything is going to fail, the more you realize that it’s a natural process of distributed systems, and it helps you write and architect better...
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Data Science with Srini Kadamati
“I really think that data science is like design in the sense that it’s a way of thinking.” Data science has emerged as an integral discipline alongside software engineering. In this episode, Jeff and...
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Machine Learning for Businesses with Joshua Bloom
“You’ve got software engineers who are interested in machine learning, and think what they need to do is just bring in another module and then that will solve their problem. It’s particularly...
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Apache Drill with Tomer Shiran
“It’s a great world to be a developer in. If you’re a developer today, you have so many tools and so many options.” Apache Drill is a schema-free SQL query engine for Hadoop, NoSQL, and cloud...
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Spark in Practice with Holden Karau
“I found Spark and I was really excited because I’m a functional programming nerd, and it was written in Scala.” Apache Spark has skyrocketed in popularity lately, arguably surpassing Hadoop as the...
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Mesosphere and Tech Journalism with Derrick Harris
“The business of technology and the technology of technology are kind of converging if you ask me. And there is definitely a space for some publications that don’t have decades of technical debt in...
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Deep Learning and Keras with François Chollet
“I definitely think we can try to abstract away the first principles of intelligence and then try to go from these principles to an intelligent machine that might look nothing like the brain.” Keras...
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Benchmarking Stream Processing Frameworks with Bobby Evans
“Benchmarks are all crap, but there are some benchmarks that are better than others.” Stream processing engines are often the component of data engineering stacks with the most variety, with the big...
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Stream Processing vs. Complex Event Processing
From Srinath Perera’s answer via Quora: I will try to give a description of current status (as of 2015) as opposed to a definition. If you are looking for a definition, the best would be What’s the...
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