Follow: https://stree.ai/podcast | Sub: https://stree.ai/sub | New episodes every Monday! In this episode of the Real-Time Analytics podcast, host Tim Berglund discusses the complexities of querying data streams. Tim examines two types of queries - transactional and analytical - and details four methods to handle such inquiries: dumping the data into a data lake, a relational database, using a stream processor, or a real-time analytics database. Each approach has its merits and drawbacks, relating to infrastructure, latency, and the type of analysis required. Robert Zych&apos;s tweet: <a href='https://twitter.com/zychr/status/1540553490648289280'>https://twitter.com/zychr/status/1540553490648289280 </a>Gunnar Morling&apos;s episode: <a href='https://youtu.be/cyeKnfdjQlw'>https://youtu.be/cyeKnfdjQlw</a>

Digging Into Interactive Queries in Kafka Streams with Bill Bejeck | Ep. 16

New episodes every Monday. From StarTree, founded by the creators of Apache Pinot™, "Real-Time Analytics with Tim Berglund" is a podcast dedicated to bringing analytics from the dashboard to the user interface. Accessible but technically rich, the show focuses on the infrastructure, tools, and techniques being developed by the people building systems that are serving analytics to our users in real-time.&nbsp;