The Evolution of Data Storage (And What's Next) | Modern Data Engineering Pipelines

Confluent Developer
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https://confluent.io | Due to possible truncation where this is used, locate the most important keywords at the beginning, with additional info (course name, hands-on, etc) at the end Are data warehouses, lakes, and lakehouses just marketing buzzwords - or do they represent real technological evolution? When the data world exploded with log files, IoT sensors, videos, and social media, traditional data warehouses couldn't keep up. Their rigid schemas and structured approach weren't built for this new reality. Data Lakes promised flexibility by storing everything in cheap object storage, but that freedom created chaos - teams called them "data swamps" where finding reliable data became impossible. Enter Data Lakehouses: a breakthrough that combines lake flexibility with warehouse performance through intelligent metadata layers. Now, technologies like Tableflow are closing the final gap by making real-time streaming data instantly queryable alongside historical data. This video traces the evolution from schema-on-write to schema-on-read, explaining why each generation emerged to solve the previous one's weaknesses. You'll discover the technical reasons behind the names, understand the real problems each technology solves, and see where data storage is heading next. Whether you're a data engineer, analyst, or architect, you'll gain clarity on which approach fits your use case - and why the names actually make perfect sense once you understand the context. Technologies covered: Data Warehouses, HDFS, Object Storage (S3, GCS), Data Lakes, Apache Iceberg®, Delta Lake, Data Lakehouses, Apache Kafka®, Tableflow, OLTP, OLAP LEARN MORE ► Confluent Developer: https://developer.confluent.io CONNECT Subscribe, if you dare: https://www.youtube.com/@ConfluentDeveloper?sub_confirmation=1 Community Slack: https://confluentcommunity.slack.com X: https://x.com/confluentinc Linkedin: https://www.linkedin.com/company/confluent GitHub: https://github.com/confluentinc Site: https://developer.confluent.io ABOUT CONFLUENT DEVELOPER Confluent Developer provides comprehensive resources for developers looking to learn about Apache Kafka®, Apache Flink®, Confluent Cloud, Confluent Platform, and any other technology related to the broader Data Streaming Platform. Content on Confluent Developer includes courses, getting started guides, topical deep-dives, patterns, tutorials, and listings of community events. Learn more at https://developer.confluent.io. #apachekafka #apacheflink #confluent

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