Taking messaging and data ingestion systems to the next level

The Data Exchange Podcast: Sijie Guo on how Apache Pulsar is able to handle both queuing and streaming, and both online and offline applications.


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In this episode of the Data Exchange I speak with Sijie Guo, founder of StreamNative, a new startup focused on making enterprise messaging technologies – specifically Apache Pulsar – easy to use on the cloud. Sijie was previously a cofounder of Streamlio (acquired by Splunk) and prior to that he led the messaging team at Twitter. He is also the main organizer behind the Pulsar Summit (April in San Francisco), a new conference whose Call for Speakers closes on January 31st.

Join Nate Silver, Jennifer Chayes, François Chollet, Kim Hazelwood, Adam Paszke, Hany Farid, and many other speakers at the Spark+AI Summit In San Francisco, June 22 -25. Use the discount code BENSAI020.

I’ve written about the importance of foundational data technologies, and data ingestion and messaging are the starting point for modern data applications. As data and machine learning continue to grow in importance, it’s critical for companies to make sure they have the right messaging systems in place.

Our conversation spanned many topics, including:

  • The role of messaging in modern data applications and platforms.
  • The two main types of messaging applications: queuing and streaming.
  • Apache Pulsar as a unified messaging platform, able to handle both queuing and streaming, and both online and offline applications.
  • A status update on Apache Pulsar.

Our goal in this podcast is to build a community of people interested in Data, Machine Learning and AI. If you have suggestions for us on what to recommend (books, conferences, links), and guests to book, please visit TheDataExchange.media site and fill out the “contact” form.

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