Hi, we’re Tim Berglund, Adi Polak, and Viktor Gamov and we’re excited to bring you the Confluent Developer podcast (formerly “Streaming Audio.”) Our hand-crafted weekly episodes feature in-depth interviews with our community of software developers (actual human beings - not AI) talking about some of the most interesting challenges they’ve faced in their careers. We aim to explore the conditions that gave rise to each person’s technical hurdles, as well as how their experiences transformed th ...
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Apache Flink Podcasts
A new community driven video podcast: streaming caffeine. Talking about data streaming, data engineering, startup and coffee
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How Time Kills All Deals in Pre-Sales with Rachel Pedreschi | Ep. 8
27:40
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27:40Listen: https://confluent.buzzsprout.com | In this episode, Tim Berglund talks to his guest, Rachel Pedreschi (DeltaStream), about her career in pre-sales engineering. Her first job: rectory office assistant at her local parish. Her challenge/theme: working at early-stage startups to bridge sales, marketing, and engineering to reach product-market …
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Scaling AI in Engineering with Peter Bell | Ep. 7
27:16
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27:16Listen: https://confluent.buzzsprout.com | Today, Adi Polak talks to her guest, Peter Bell (gather.dev), about his career in software engineering leadership, CTO community building, and AI-driven development. Peter’s first job: electronics lab technician at their school (alongside shifts at Tesco). His challenge/theme: working at scale with AI adop…
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How Kafka Expert Robin Moffat Tackles Open Source Problems | Ep. 6
24:50
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24:50Today, Viktor Gamov talks to his colleague Robin Moffat (Confluent) about his career in data engineering. His first job: paperboy. His challenge: working at a retailer with Oracle materialized views as well as teaching others how to productively approach Kafka’s internal systems. Blog posts mentioned in the podcast: ► Oracle Materialized Views trou…
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Building Parquet into Apache Pinot ft. Neha Pawar | Ep. 5
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26:07Today, Tim Berglund talks to Neha Pawar (StarTree) about her career in real-time analytics and open source database engineering. Her first job: a year-long internship at NVIDIA. Her challenge: leading the technical effort to add native Parquet support into Apache Pinot. SEASON 2 Hosted by Tim Berglund, Adi Polak and Viktor Gamov Produced and Edited…
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The Fix That Secured 1000s of Credit Cards ft. Brian Sletten | Ep. 4
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29:37In this episode, Tim talks to Brian Sletten (Bosatsu Consulting) about his career in software development. His first job: working at a small communications company that built network matrix switch interfaces. His challenge/theme: overhauling credit card storage and security at a major hospitality company. SEASON 2 Hosted by Tim Berglund, Adi Polak …
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How Viktor Gamov Stays Curious as Tech Rapidly Evolves | Ep. 3
30:11
30:11
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30:11Adi Polak interviews her co-host, Viktor Gamov, about his career’s evolution from distributed systems to streaming technology. Viktor’s first job: apple picking. His challenge/theme: staying curious and non-judgmental in the ever-changing landscape of tech. SEASON 2 Hosted by Tim Berglund, Adi Polak and Viktor Gamov Produced and Edited by Noelle Ga…
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How Tim Berglund Found His Calling | Ep. 2
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30:36Viktor Gamov interviews his co-host, Tim Berglund, about his career in the world of streaming data. Tim’s first job: Burger King broiler steamer. His challenge/theme: pivoting from working in hardware and firmware to finding his calling in enterprise software and developer relations. SEASON 2 Hosted by Tim Berglund, Adi Polak and Viktor Gamov Produ…
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Building Real-time Systems for Apple, Nike & more ft. Adi Polak | Ep. 1
32:53
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32:53The Confluent Developer Podcast is here! For this first episode, Tim Berglund talks to his co-host, Adi Polak (Confluent), about her career in distributed data systems. Her first job: neighborhood dogwalker. Her challenge/theme: early Hadoop, working at Akamai on data optimization and real-time threat detection for huge global customers like Apple,…
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We're back! Welcome to the Confluent Developer Podcast.
1:20
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1:20Weekly episodes launching Sept. 22! | Hi, I'm Tim Berglund. It's been about four years since I've been podcasting at Confluent, and "Streaming Audio" has been on hiatus for a little more than two, but I've got great news: we are back! We're back with a new name, a new format, and new hosts. Welcome to the Confluent Developer Podcast, where we talk …
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Streaming Caffeine E8: Richard&Ryan (WarpStream) and Jove
32:36
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32:36I interviewed the two founders at WarpStream.com at Current23
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Streaming Caffeine E7: Ting&Jove interviewed by Hubert&Ralph during Current23, about Timeplus,Proton
18:16
18:16
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18:16During Current 2023, the data streaming conference organized by Confluent, Hubert and Ralph talked to Ting (CEO at Timeplus) and me (Jove, Head of Product at Timeplus). We talked about the newly-opensourced Timeplus Proton and how the streaming capability will help ClickHouse users to get more things done.…
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Streaming Caffeine E6: Giannis(Ververica) and Jove(Timeplus): Apache Flink, Pimon, CDC and Current23
55:49
55:49
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55:49In this episode, Jove chatted with Giannis, Streaming Data Architect at Ververcia, the original creator of Apache Flink. Giannis has been in the space for a loooong time: Pulsar/StreamNative/Flink/Aiven/Ververica. We talked about upcoming #Current23 (both of us will be there in person), #Flink #FlinkCDC #Debezium #Paimon #Database #DataWarehouse an…
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Streaming Caffeine E5: Leonid(Feldera) and Jove(Timeplus)
52:38
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52:38Leonid, cofounder at Feldera, happened to be in Vancouver, to join VLDB, Very Large Database conference, and they won best paper award.Jove and Leonid met in Nero, a waffle shop, and talked about streaming processor, cloud, onprem, customers and many other topics.00:00 meet in waffle shop 01:00 best paper in VLDB, incremental computation06:00 incre…
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Streaming Caffeine E4: Mastafa(Resmo) and Jove(Timeplus)
31:52
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31:52TBD
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Streaming Caffeine E3: Yaroslav(Goldsky) and Jove(Timeplus)
1:18:57
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1:18:57Welcome to the latest episode of Streaming Cafe with your host, Jove! In this exciting interview, Jove is joined by a special guest, Yarosalv, Principal Software Engineer at Goldsky, to delve into the realm of data streaming, engineering challenges, and real-world experiences. Timestamps: 00:00:00 Welcome Yarosalv00:01:40 Yaroslav self-intro, Activ…
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Streaming Caffeine E2: Tun(Quix) and Jove(Timeplus)
1:14:08
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1:14:08Second episode of the new community driven video podcast: streaming caffeine. Talking about data streaming, data engineering, startup and coffeeThe talk happened on Aug 24, online, with Tun (VP of Data/DevRel at Quix) and Jove(cofounder and Head of Product at Timeplus)0:00:00 Intro of Tun and Quix0:01:00 About coffee0:04:00 Fast/slow coffee0:05:40 …
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Streaming Caffeine E1: Zander(Bytewax) and Jove(Timeplus)
1:24:29
1:24:29
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1:24:29Very first episode of the new community driven video podcast: streaming caffeine. Talking about data streaming, data engineering, startup and coffee. The first talk happened on Aug 14, in Vancouver, with Zander (cofounder and CEO at Bytewax) and Jove(cofounder and Head of Product at Timeplus)
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Apache Kafka 3.5 - Kafka Core, Connect, Streams, & Client Updates
11:25
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11:25Apache Kafka® 3.5 is here with the capability of previewing migrations between ZooKeeper clusters to KRaft mode. Follow along as Danica Fine highlights key release updates. Kafka Core: KIP-833 provides an updated timeline for KRaft. KIP-866 now is preview and allows migration from an existing ZooKeeper cluster to KRaft mode. KIP-900 introduces a wa…
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After recording 64 episodes and featuring 58 amazing guests, the Streaming Audio podcast series has amassed over 130,000 plays on YouTube in the last year. We're extremely proud of these achievements and feel that it's time to take a well-deserved break. Streaming Audio will be taking a vacation! We want to express our gratitude to you, our valued …
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How to use Data Contracts for Long-Term Schema Management
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57:28Have you ever struggled with managing data long term, especially as the schema changes over time? In order to manage and leverage data across an organization, it’s essential to have well-defined guidelines and standards in place around data quality, enforcement, and data transfer. To get started, Abraham Leal (Customer Success Technical Architect, …
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Can you use Apache Kafka® and Python together? What’s the current state of Python support? And what are the best options to get started? In this episode, Dave Klein joins Kris to talk about all things Kafka and Python: the libraries, the tools, and the pros & cons. He also talks about the new course he just launched to support Python programmers en…
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Next-Gen Data Modeling, Integrity, and Governance with YODA
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55:55In this episode, Kris interviews Doron Porat, Director of Infrastructure at Yotpo, and Liran Yogev, Director of Engineering at ZipRecruiter (formerly at Yotpo), about their experiences and strategies in dealing with data modeling at scale. Yotpo has a vast and active data lake, comprising thousands of datasets that are processed by different engine…
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Migrate Your Kafka Cluster with Minimal Downtime
1:01:30
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1:01:30Migrating Apache Kafka® clusters can be challenging, especially when moving large amounts of data while minimizing downtime. Michael Dunn (Solutions Architect, Confluent) has worked in the data space for many years, designing and managing systems to support high-volume applications. He has helped many organizations strategize, design, and implement…
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Real-Time Data Transformation and Analytics with dbt Labs
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43:41dbt is known as being part of the Modern Data Stack for ELT processes. Being in the MDS, dbt Labs believes in having the best of breed for every part of the stack. Oftentimes folks are using an EL tool like Fivetran to pull data from the database into the warehouse, then using dbt to manage the transformations in the warehouse. Analysts can then bu…
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What’s the next big thing in the future of streaming data? In this episode, Greg DeMichillie (VP of Product and Solutions Marketing, Confluent) talks to Kris about the future of stream processing in environments where the value of data lies in their ability to intercept and interpret data. Greg explains that organizations typically focus on the inf…
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What can Apache Kafka Developers learn from Online Gaming?
55:32
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55:32What can online gaming teach us about making large-scale event management more collaborative in real-time? Ben Gamble (Developer Relations Manager, Aiven) has come to the world of real-time event streaming from an usual source: the video games industry. And if you stop to think about it, modern online games are complex, distributed real-time data s…
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Apache Kafka 3.4 - New Features & Improvements
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5:13Apache Kafka® 3.4 is released! In this special episode, Danica Fine (Senior Developer Advocate, Confluent), shares highlights of the Apache Kafka 3.4 release. This release introduces new KIPs in Kafka Core, Kafka Streams, and Kafka Connect. In Kafka Core: KIP-792 expands the metadata each group member passes to the group leader in its JoinGroup sub…
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How to use OpenTelemetry to Trace and Monitor Apache Kafka Systems
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50:01How can you use OpenTelemetry to gain insight into your Apache Kafka® event systems? Roman Kolesnev, Staff Customer Innovation Engineer at Confluent, is a member of the Customer Solutions & Innovation Division Labs team working to build business-critical OpenTelemetry applications so companies can see what’s happening inside their data pipelines. I…
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What is Data Democratization and Why is it Important?
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47:27Data democratization allows everyone in an organization to have access to the data they need, and the necessary tools needed to use this data effectively. In short, data democratization enables better business decisions. In this episode, Rama Ryali, a Senior IT and Data Executive, chats with Kris Jenkins about the importance of data democratization…
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