Streaming Architecture with Ted Dunning
Podcast: Play in new window | Download
Subscribe: Apple Podcasts | RSS
Streaming architecture defines how large volumes of data make their way through an organization. Data is created at a user’s smartphone, or on a sensor inside of a conveyor belt at a factory. That data is sent to a set of backend services that aggregate the data, organizing it and making it available to business analysts, application developers, and machine learning algorithms.
The velocity at which data is created has led to widespread use of the “stream” abstraction–a never ending, append-only array of data. To deal with this volume, streams need to be buffered, batched, cached, mapreduced, machine learned, and munged until they are in a state where they can provide value to the end user.
There are numerous ways that data can travel this path, and in today’s episode, we discuss the streaming systems, data lakes, and data warehouses that can be used to build an architecture that makes use of streaming data. Ted Dunning is a chief application architect at MapR, and he joins the show to discuss the patterns that engineering teams are using to build modern streaming architectures. Full disclosure: MapR is a sponsor of Software Engineering Daily.
Meetups for Software Engineering Daily are being planned! Go to softwareengineeringdaily.com/meetup if you want to register for an upcoming Meetup. In March, I’ll be visiting Datadog in New York and Hubspot in Boston, and in April I’ll be at Telesign in LA.
Summer internship applications to Software Engineering Daily are also being accepted. If you are interested in working with us on the Software Engineering Daily open source project full-time this Summer, send an application to email@example.com. We’d love to hear from you.
Transcript provided by We Edit Podcasts. Software Engineering Daily listeners can go to weeditpodcasts.com/sed to get 20% off the first two months of audio editing and transcription services. Thanks to We Edit Podcasts for partnering with SE Daily. Please click here to view this show’s transcript.