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Building an ML-Friendly Data Lake with Apache Iceberg

Anant Kumar designs a data lake:

As companies collect massive amounts of data to fuel their artificial intelligence and machine learning initiatives, finding the right data architecture for storing, managing, and accessing such data is crucial. Traditional data storage practices are likely to fall short to meet the scale, variety, and velocity required by modern AI/ML workflows. Apache Iceberg steps in as a strong open-source table format to build solid and efficient data lakes for AI and ML.

Click through for a primer on Iceberg, how to set up a fairly simple data lake, and some functionality that can help in model training.

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