Apache Iceberg

table format, data lake, schema evolution, file format, storage, open table format
Iceberg
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Companies looking for 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 engineer

Senior AWS Data Engineer @ asx

AU | 2025-12-26
This role is a compelling opportunity for a senior data engineer with deep AWS expertise, but it’s a steep climb in a highly competitive field. The position requires a hands-on engineer with... read more »
Agile/Scrum, AWS, API, Data Engineering, Data Management, Analytics, Data Modelling, DWH, Data Streaming, Confluence, Kafka, Airflow, AWS Glue, Iceberg, Athena, Redshift, DataViz, Tableau, Power BI, QuickSight, Python, Spark, Terraform, Terragrunt