Modern Data Lakehouses: How Apache Iceberg Solved the Pitfalls of Hive Metastore
Introduction When a data platform grows from a few gigabytes to terabytes or petabytes, storing the data is only one part of the problem. A typical data lake can store huge amounts of data cheaply in systems such as Amazon S3 or HDFS. The real challenge is making that collection of files behave like a reliable analytical table. Consider an e-commerce company receiving millions of orders every…
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