Data Streaming vs. Lakehouse скачать в хорошем качестве

Data Streaming vs. Lakehouse

This video provides an in-depth exploration of data streaming and lakehouse architectures. It begins with a focus on data streaming open source and cloud SaaS technologies like Apache Kafka, Apache Flink and Confluent, showcasing their capabilities in enabling real-time data processing and analytics. The discussion then shifts to a comparison between data streaming and lakehouse solutions (which is a combination of data warehouse and data lake), such as Snowflake, Databricks, Microsoft Fabric, and Google BigQuery, highlighting their distinct advantages and how they complement each other in modern data ecosystems. The video concludes with an invitation for feedback, comments, and questions, encouraging an engaging dialogue on these transformative technologies. This content is ideal for data enthusiasts and professionals seeking to enhance their understanding of data streaming and lakehouse architectures for improved business intelligence. Please share your comments, feedback and questions. And stay in touch via LinkedIn (linkedin.com/in/kaiwaehner), X/Twitter (  / kaiwaehner  , or my newsletter (https://www.kai-waehner.de/news) to learn more about the world of data streaming. Table of Contents: 00:41 - Data Streaming with Kafka and Flink 05:32 - Data Streaming vs. Lakehouse 11:51 - Feedback, Comments, Questions If you want to learn more, check out these related blog posts: Apache Iceberg – The Open Table Format for Lakehouse AND Data Streaming: https://www.kai-waehner.de/blog/2024/... The Shift Left Architecture – From Batch and Lakehouse to Real-Time Data Products with Data Streaming https://www.kai-waehner.de/blog/2024/... How Microsoft Fabric Lakehouse Complements Data Streaming (Apache Kafka, Flink, et al.) https://www.kai-waehner.de/blog/2024/... Stay in touch via: Blog: kai-waehner.de LinkedIn: linkedin.com/in/kaiwaehner X (Twitter): @KaiWaehner Newsletter: kai-waehner.de/news