--- title: Introducing Tableflow: Unifying Streaming and Analytics description: Tableflow is a new feature that simplifies the process of feeding data from Apache Kafka to data lakes, warehouses, or analytics engines. It eliminates the... canonical: https://daily.dev/posts/introducing-tableflow-unifying-streaming-and-analytics-si0osxrrz twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Introducing Tableflow: Unifying Streaming and Analytics | daily.dev og:description: Tableflow is a new feature that simplifies the process of feeding data from Apache Kafka to data lakes, warehouses, or analytics engines. It eliminates the... og:url: https://daily.dev/posts/introducing-tableflow-unifying-streaming-and-analytics-si0osxrrz og:image: https://api.daily.dev/og/posts/SI0OSxRrz.png og:image:alt: Introducing Tableflow: Unifying Streaming and Analytics og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Introducing Tableflow: Unifying Streaming and Analytics **[Confluent Blog](https://daily.dev/sources/conf)** · 7 min read · 0 upvotes · 0 comments ## Summary Tableflow is a new feature that simplifies the process of feeding data from Apache Kafka to data lakes, warehouses, or analytics engines. It eliminates the need for complex and brittle jobs, and allows users to easily convert Kafka topics and associated schemas to Apache Iceberg tables. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#kafka](https://daily.dev/tags/kafka), [#data-lake](https://daily.dev/tags/data-lake), [#data-streaming](https://daily.dev/tags/data-streaming), [#apache-iceberg](https://daily.dev/tags/apache-iceberg) [View this post on daily.dev](https://daily.dev/posts/introducing-tableflow-unifying-streaming-and-analytics-si0osxrrz) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Introducing Tableflow: Unifying Streaming and Analytics","url":"https://daily.dev/posts/introducing-tableflow-unifying-streaming-and-analytics-si0osxrrz","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/introducing-tableflow-unifying-streaming-and-analytics-si0osxrrz"},"datePublished":"2024-03-19T09:38:21.455Z","dateModified":"2024-05-09T08:43:33.910Z","description":"Tableflow is a new feature that simplifies the process of feeding data from Apache Kafka to data lakes, warehouses, or analytics engines. It eliminates the...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/5957214543e61b2009e2522cc6045172?_a=AQAEufR","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/5957214543e61b2009e2522cc6045172?_a=AQAEufR","isAccessibleForFree":true,"articleSection":"Confluent Blog","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Confluent Blog","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/cb2c20a237b7409591c7a087c42fb714","url":"https://daily.dev/sources/conf"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/introducing-tableflow-unifying-streaming-and-analytics-si0osxrrz","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"kafka,data-lake,data-streaming,apache-iceberg","timeRequired":"PT7M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Confluent Blog","item":"https://daily.dev/sources/conf"},{"@type":"ListItem","position":3,"name":"Introducing Tableflow: Unifying Streaming and Analytics"}]} ```