{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/6421d9ff039ec500111e00fb/6514085e3f29d40011aa2685?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"8. Realtidsdata - när behöver man det?","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/6421d9ff039ec500111e00fb/1746515754018-93da4990-b6f4-4db2-bdf7-acfed2e0278b.jpeg?height=200","description":"<p>I detta avsnitt får ni möta Lag Realtid (Erik) som diskuterar med Lag Batch (Hugo). Från varsitt håll försöker de övertyga sin motpart att det är bättre att processera data så fort man får den, respektive att processera data retroaktivt i “klump”.</p><p><br></p><p>Har du någon fråga eller feedback, mejla <a href=\"mailto:datastudion@datadao.se\" rel=\"noopener noreferrer\" target=\"_blank\">datastudion@datadao.se</a>!</p><p><br></p><p>Strömningsverktyg:</p><ul><li><a href=\"https://kafka.apache.org/\" rel=\"noopener noreferrer\" target=\"_blank\">Apache Kafka</a> - event streaming platform for data pipelines, streaming analytics, data integration, and mission-critical applications.</li><li><a href=\"https://flink.apache.org/what-is-flink/flink-architecture/\" rel=\"noopener noreferrer\" target=\"_blank\">Apache Flink</a> - framework and distributed processing engine for stateful computations over&nbsp;<em>unbounded and bounded</em>&nbsp;data streams.</li><li><a href=\"https://github.com/streamprocessor\" rel=\"noopener noreferrer\" target=\"_blank\">StreamProcessor</a> - reactive streaming processing solution running on GCP.</li></ul><p>Batch:</p><ul><li><a href=\"https://airflow.apache.org/\" rel=\"noopener noreferrer\" target=\"_blank\">Apache Airflow</a> - a platform created by the community to programmatically author, schedule and monitor workflows.</li><li><a href=\"https://www.getdbt.com/\" rel=\"noopener noreferrer\" target=\"_blank\">dbt</a> - a SQL-first transformation workflow that lets teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation.</li></ul>","author_name":"Data Dao"}