Streaming Audio: Apache Kafka® & Real-Time Data

Confluent, founded by the original creators of Apache Kafka®
  • 4.8(44개의 평가)
  • 과학 기술
  • 매주 업데이트
Streaming Audio: Apache Kafka® & Real-Time Data

Streaming Audio features all things Apache Kafka®, Confluent, real-time data, and the cloud. We cover frequently asked questions, best practices, and use cases from the Kafka community—from Kafka connectors and distributed systems, to data mesh, data integration, modern data architectures, and data mesh built with Confluent and cloud Kafka as a service. Join our hosts as they stream through a series of interviews, stories, and use cases with guests from the data streaming industry. Apache®️, Apache Kafka, Kafka, and the Kafka logo are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. No endorsement by The Apache Software Foundation is implied by the use of these marks.

  1. 2023. 06. 15.

    Apache Kafka 3.5 - Kafka Core, Connect, Streams, & Client Updates

    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 way to bootstrap the KRaft controllers with SCRAM credentials.KIP-903 prevents a data loss scenario by preventing replicas with stale broker epochs from ...

    11분

  2. 2023. 04. 13.

    A Special Announcement from Streaming Audio

    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 listeners, for spending 10,000 hours with us on this incredible journey.Rest assured, we will be back with more episodes! In the meantime, feel fre...

    1분

  3. 2023. 03. 21.

    How to use Data Contracts for Long-Term Schema Management

    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, Confluent) suggests that organizations associate their Apache Kafka® data with a data contract (schema). A data contract is an agreement between a ...

    57분

  4. 2023. 03. 14.

    How to use Python with Apache Kafka

    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 entering the event-streaming world.Dave has been an active member of the Kafka community for many years and noticed that there were a lot of Kafk...

    32분

  5. 2023. 03. 07.

    Next-Gen Data Modeling, Integrity, and Governance with YODA

    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 engines, primarily Apache Spark™. They wanted to provide users with self-service tools for generating and utilizing data with maximum flexibility, but enc...

    56분

  6. 2023. 03. 01.

    Migrate Your Kafka Cluster with Minimal Downtime

    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 successful Kafka cluster migrations between different environments. In this episode, Michael shares some tips about Kafka cluster migration with K...

    1시간 2분

  7. 2023. 02. 22.

    Real-Time Data Transformation and Analytics with dbt Labs

    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 build dashboards on top of that data, or execute tests.It’s possible for an analyst to adapt this process for use with a microservice application usi...

    44분

  8. 2023. 02. 15.

    What is the Future of Streaming Data?

    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 infrastructure containers themselves, and not on the thousands of data connections that form within. When they finally realize that they don't have a w...

    41분
모두 보기(264개)

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44개의 평가

소개

Streaming Audio features all things Apache Kafka®, Confluent, real-time data, and the cloud. We cover frequently asked questions, best practices, and use cases from the Kafka community—from Kafka connectors and distributed systems, to data mesh, data integration, modern data architectures, and data mesh built with Confluent and cloud Kafka as a service. Join our hosts as they stream through a series of interviews, stories, and use cases with guests from the data streaming industry. Apache®️, Apache Kafka, Kafka, and the Kafka logo are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. No endorsement by The Apache Software Foundation is implied by the use of these marks.

정보

  • 제작진
    Confluent, founded by the original creators of Apache Kafka®
  • 방송 연도
    2018년 - 2023년
  • 에피소드
    264
  • 등급
    전체 연령 사용가
  • 저작권
    © 2024 Streaming Audio: Apache Kafka® & Real-Time Data
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    Streaming Audio: Apache Kafka® & Real-Time Data

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