Real-Time Analytics with Tim Berglund

Follow: https://stree.ai/podcast | Sub: https://stree.ai/sub | New episodes every Monday! Today Tim is joined by Ralph Debusmann (Enterprise Kafka Engineer, Migros) and Hubert Dulay (Developer Advocate, StarTree) where they delve deep into the world of streaming databases. They explore the blend of traditional databases with streaming elements, aiming to make stream processing more user-friendly with SQL. Discussing tools like ksqlDB and Materialize, they touch upon Martin Kleppmann's theorie...

Follow: https://stree.ai/podcast | Sub: https://stree.ai/sub | New episodes every Monday! StarTree's Tim Berglund and Navina Ramesh sit down to discuss the complex issue of upserts and deletes in analytical databases. They cover the challenges and necessity of these features in real-time analytical processing. Unlike traditional databases where records can be updated, analytical databases are typically immutable, making Pinot unique in its ability to support upserts. The conversation sheds li...

Follow: https://stree.ai/podcast | Sub: https://stree.ai/sub | New episodes every Monday! On this week's episode, Tim chats with Ken Krugler about the popularity of vector databases and generative AI, such as ChatGPT-4, where they then explore Ken's work with Word2vec and the challenge of fast vector searches in advertising. Ken shares some fascinating insights into semantic search and the mechanics of working with large data sets. The conversation concludes with an appreciation for the depth...

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 welcomes Eric Sammer, Founder and CEO of Decodable. Eric, an industry leader in event streaming technology, discusses the company's focus on stream processing, real-time data processing, and integration with systems like Apache Pinot and StarTree. The conversation delves into the challenges and complexities of managing data, from data ...

Follow: https://stree.ai/podcast | Sub: https://stree.ai/sub | New episodes every Monday! On today's episode, Tim Berglund sits down for a chat with Bill Bejeck, a prominent figure in the world of Kafka and real-time analytics. They dive into topics around Apache Kafka, Kafka Streams and interactive queries, diving deep into each one. Bill describes interactive queries as a way to scrutinize the state of a Kafka Streams application, whether that's a simple key lookup or an analysis of complex...

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, rel...

Follow: https://stree.ai/podcast | Sub: https://stree.ai/sub | New episodes every Monday! In part two of the "Real-Time Analytics" podcast, Robert Metzger, the PMC chair of Apache Flink, elaborates on using Flink as a developer. Metzger discusses the spectrum of APIs in Flink, ranging from expressive APIs to easy-to-use APIs. He mentions the process function, a low-level, flexible API that exposes basic building blocks of Flink, such as real-time events, state, and event time. Metzger also sp...

Follow: https://stree.ai/podcast | Sub: https://stree.ai/sub | New episodes every Monday! Today we have Apache Flink's PMC Chair, Robert Metzger, on the show, who provides a friendly introduction to the world of Flink. Like a tour guide, he navigates listeners through Flink's role as a handy tool for building applications that process data in real-time. Metzger illustrates Flink's unique ability to work smoothly with both batch and streaming data, making it a nifty sidekick for anyone dealing...

In this episode of the Real-Time Analytics Podcast, host Tim Berglund continues his conversation with Anna McDonald about Kafka Streams and the complexities of stream processing related to time. They explore the different types of windows available in Kafka Streams, including hopping, tumbling, session, and sliding windows. Anna provides insightful explanations and examples of each window type, highlighting their unique features and use cases. Don't miss out on this informative and engaging c...

Follow: https://stree.ai/podcast | Sub: https://stree.ai/sub | New episodes every Monday! Join Tim Berglund as he chats with Anna McDonald about the fascinating world of Kafka Streams. Anna, a customer success technical architect at Confluent, shares her insights on the core concepts of Kafka Streams, including the all-important table and stream abstractions. They delve into the benefits of statefulness and durability, such as active and standby tasks, which ensure seamless failover, and how ...