A(z) Confluent Original Creators Of Apache Kafka csatorna legjobb podcastjai (2024)

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Apache Kafka 3.5 - Kafka Core, Connect, Streams, & Client Updates 11:25

1+ y ago11:25

11:25

Apache 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…

1
A Special Announcement from Streaming Audio 1:18

1+ y ago1:18

1:18

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 57:28

1+ y ago57:28

57:28

Have 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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How to use Python with Apache Kafka 31:57

1+ y ago31:57

31:57

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 55:55

1+ y ago55:55

55:55

In 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

1+ y ago1:01:30

1:01:30

Migrating 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 43:41

1+ y ago43:41

43:41

dbt 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 is the Future of Streaming Data? 41:29

1+ y ago41:29

41:29

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

2y ago55:32

55:32

What 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 5:13

2y ago5:13

5:13

Apache 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 50:01

2y ago50:01

50:01

How 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? 47:27

2y ago47:27

47:27

Data 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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Git for Data: Managing Data like Code with lakeFS 30:42

2y ago30:42

30:42

Is it possible to manage and test data like code? lakeFS is an open-source data version control tool that transforms object storage into Git-like repositories, offering teams a way to use the same workflows for code and data. In this episode, Kris sits down with guest Adi Polak, VP of DevX at Treeverse, to discuss how lakeFS can be used to facilita…

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Using Kafka-Leader-Election to Improve Scalability and Performance 51:06

2y ago51:06

51:06

How does leader election work in Apache Kafka®? For the past 2 ½ years, Adithya Chandra, Staff Software Engineer at Confluent, has been working on Kafka scalability and performance, specifically partition leader election. In this episode, he gives Kris Jenkins a deep dive into the power of leader election in Kafka replication, why we need it, how i…

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Real-Time Machine Learning and Smarter AI with Data Streaming 38:56

2y ago38:56

38:56

Are bad customer experiences really just data integration problems? Can real-time data streaming and machine learning be democratized in order to deliver a better customer experience? Airy, an open-source data-streaming platform, uses Apache Kafka® to help business teams deliver better results to their customers. In this episode, Airy CEO and co-fo…

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The Present and Future of Stream Processing 31:19

2y ago31:19

31:19

The past year saw new trends emerge in the world of data streaming technologies, as well as some unexpected and novel use cases for Apache Kafka®. New reflections on the future of stream processing and when companies should adopt microservice architecture inspired several talks at this year’s industry conferences. In this episode, Kris is joined by…

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Top 6 Worst Apache Kafka JIRA Bugs 1:10:58

2y ago1:10:58

1:10:58

Entomophiliac, Anna McDonald (Principal Customer Success Technical Architect, Confluent) has seen her fair share of Apache Kafka® bugs. For her annual holiday roundup of the most noteworthy Kafka bugs, Anna tells Kris Jenkins about some of the scariest, most surprising, and most enlightening corner cases that make you ask, “Ah, so that’s how it rea…

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Learn How Stream-Processing Works The Simplest Way Possible 31:29

2y ago31:29

31:29

Could you explain Apache Kafka® in ways that a small child could understand? When Mitch Seymour, author of Mastering Kafka Streams and ksqlDB, wanted a way to communicate the basics of Kafka and event-based stream processing, he decided to author a children’s book on the subject, but it turned into something with a far broader appeal. Mitch conceiv…

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Building and Designing Events and Event Streams with Apache Kafka 53:06

2y ago53:06

53:06

What are the key factors to consider when developing event-driven architecture? When properly designed, events can connect existing systems with a common language and allow data exchange in near real time. They also help reduce complexity by providing a single source of truth that eliminates the need to synchronize data between different services o…

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Rethinking Apache Kafka Security and Account Management 41:23

2y ago41:23

41:23

Is there a better way to manage access to resources without compromising security? New employees need access to a variety of resources within a company's tech stack. But manually granting access can be error-prone. And when employees leave, their access must be revoked, thus potentially introducing security risks if an admin misses one. In this pod…

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Real-time Threat Detection Using Machine Learning and Apache Kafka 29:18

2y ago29:18

29:18

Can we use machine learning to detect security threats in real-time? As organizations increasingly rely on distributed systems, it is becoming more important to analyze the traffic that passes through those systems quickly. Confluent Hackathon ’22 finalist, Géraud Dugé de Bernonville (Data Consultant, Zenika Bordeaux), shares how his team used Tens…

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Improving Apache Kafka Scalability and Elasticity with Tiered Storage 29:32

2y ago29:32

29:32

What happens when you need to store more than a few petabytes of data? Rittika Adhikari (Software Engineer, Confluent) discusses how her team implemented tiered storage, a method for improving the scalability and elasticity of data storage in Apache Kafka®. She also explores the motivating factors for building it in the first place: cost, performan…

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Decoupling with Event-Driven Architecture 38:38

2y ago38:38

38:38

In principle, data mesh architecture should liberate teams to build their systems and gather data in a distributed way, without having to explicitly coordinate. Data is the thing that can and should decouple teams, but proper implementation has its challenges. In this episode, Kris talks to Florian Albrecht (Solution Architect, Hermes Germany) abou…

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If Streaming Is the Answer, Why Are We Still Doing Batch? 43:58

2y ago43:58

43:58

Is real-time data streaming the future, or will batch processing always be with us? Interest in streaming data architecture is booming, but just as many teams are still happily batching away. Batch processing is still simpler to implement than stream processing, and successfully moving from batch to streaming requires a significant change to a team…

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Security for Real-Time Data Stream Processing with Confluent Cloud 48:33

2y ago48:33

48:33

Streaming real-time data at scale and processing it efficiently is critical to cybersecurity organizations like SecurityScorecard. Jared Smith, Senior Director of Threat Intelligence, and Brandon Brown, Senior Staff Software Engineer, Data Platform at SecurityScorecard, discuss their journey from using RabbitMQ to open-source Apache Kafka® for stre…

Podcastok, amelyeket érdemes meghallgatni

Confluent Original Creators Of Apache Kafka Podcastok

Podcastok, amelyeket érdemes meghallgatni

1
Streaming Audio: Apache Kafka® & Real-Time Data

Confluent, founded by the original creators of Apache Kafka®

1
Apache Kafka 3.5 - Kafka Core, Connect, Streams, & Client Updates 11:25

1
A Special Announcement from Streaming Audio 1:18

1
How to use Data Contracts for Long-Term Schema Management 57:28

1
How to use Python with Apache Kafka 31:57

1
Next-Gen Data Modeling, Integrity, and Governance with YODA 55:55

1
Migrate Your Kafka Cluster with Minimal Downtime 1:01:30

1
Real-Time Data Transformation and Analytics with dbt Labs 43:41

1
What is the Future of Streaming Data? 41:29

1
What can Apache Kafka Developers learn from Online Gaming? 55:32

1
Apache Kafka 3.4 - New Features & Improvements 5:13

1
How to use OpenTelemetry to Trace and Monitor Apache Kafka Systems 50:01

1
What is Data Democratization and Why is it Important? 47:27

1
Git for Data: Managing Data like Code with lakeFS 30:42

1
Using Kafka-Leader-Election to Improve Scalability and Performance 51:06

1
Real-Time Machine Learning and Smarter AI with Data Streaming 38:56

1
The Present and Future of Stream Processing 31:19

1
Top 6 Worst Apache Kafka JIRA Bugs 1:10:58

1
Learn How Stream-Processing Works The Simplest Way Possible 31:29

1
Building and Designing Events and Event Streams with Apache Kafka 53:06

1
Rethinking Apache Kafka Security and Account Management 41:23

1
Real-time Threat Detection Using Machine Learning and Apache Kafka 29:18

1
Improving Apache Kafka Scalability and Elasticity with Tiered Storage 29:32

1
Decoupling with Event-Driven Architecture 38:38

1
If Streaming Is the Answer, Why Are We Still Doing Batch? 43:58

1
Security for Real-Time Data Stream Processing with Confluent Cloud 48:33

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