Apache Iceberg

table format, data lake, schema evolution, file format, storage, open table format
Iceberg
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Let’s be honest, the data lake was starting to feel less like a pristine reservoir and more like a swamp. Enter Apache Iceberg, born from the realization that simply dumping data somewhere wasn’t a viable long-term strategy. It promised to bring reliability and performance to those sprawling lakes, offering transactional consistency and schema evolution – things we used to get with, you know, actual databases.

In practice, it’s a clever table format layered on top of object storage, managing metadata in a way that allows for atomic operations and time travel. Think Delta Lake meets Parquet, but with a slightly different philosophy and a growing ecosystem. While it’s gained traction with companies wrestling with petabyte-scale data and demanding more than just “eventual consistency”, it’s still maturing. It’s not a magic bullet, but a genuinely useful piece of the puzzle for anyone serious about building a reliable data platform.

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Jobs in using Apache Iceberg for but please no

data scientist

Software Engineer, Infrastructure - Analytics @ openai

US | 2025-12-24 | USD 310000 - 460000 / year
OpenAI’s Scaling team position reads like a bridge job for data infrastructure: a generalist software engineer focused on distributed systems, data processing pipelines, and production... read more »
LLM, Analytics, AI/ML, Data Streaming, Kubernetes, Python, Rust, Kafka, Spark, Trino, Presto, Iceberg, Terraform, Cyber Security