Data Engineering Podcast

419 Episoder

1. Reconciling The Data In Your Databases With Datafold

   Publisert: 17.3.2024
2. Version Your Data Lakehouse Like Your Software With Nessie

   Publisert: 10.3.2024
3. When And How To Conduct An AI Program

   Publisert: 3.3.2024
4. Find Out About The Technology Behind The Latest PFAD In Analytical Database Development

   Publisert: 25.2.2024
5. Using Trino And Iceberg As The Foundation Of Your Data Lakehouse

   Publisert: 18.2.2024
6. Data Sharing Across Business And Platform Boundaries

   Publisert: 11.2.2024
7. Tackling Real Time Streaming Data With SQL Using RisingWave

   Publisert: 4.2.2024
8. Build A Data Lake For Your Security Logs With Scanner

   Publisert: 29.1.2024
9. Modern Customer Data Platform Principles

   Publisert: 22.1.2024
10. Pushing The Limits Of Scalability And User Experience For Data Processing WIth Jignesh Patel

    Publisert: 7.1.2024
11. Designing Data Platforms For Fintech Companies

    Publisert: 1.1.2024
12. Troubleshooting Kafka In Production

    Publisert: 24.12.2023
13. Adding An Easy Mode For The Modern Data Stack With 5X

    Publisert: 18.12.2023
14. Run Your Own Anomaly Detection For Your Critical Business Metrics With Anomstack

    Publisert: 11.12.2023
15. Designing Data Transfer Systems That Scale

    Publisert: 4.12.2023
16. Addressing The Challenges Of Component Integration In Data Platform Architectures

    Publisert: 27.11.2023
17. Unlocking Your dbt Projects With Practical Advice For Practitioners

    Publisert: 20.11.2023
18. Enhancing The Abilities Of Software Engineers With Generative AI At Tabnine

    Publisert: 13.11.2023
19. Shining Some Light In The Black Box Of PostgreSQL Performance

    Publisert: 6.11.2023
20. Surveying The Market Of Database Products

    Publisert: 30.10.2023