Remove 2002 Remove Data Lake Remove Machine Learning Remove Testing
article thumbnail

Use AWS Glue ETL to perform merge, partition evolution, and schema evolution on Apache Iceberg

AWS Big Data

As enterprises collect increasing amounts of data from various sources, the structure and organization of that data often need to change over time to meet evolving analytical needs. Schema evolution enables adding, deleting, renaming, or modifying columns without needing to rewrite existing data.

Snapshot 111
article thumbnail

How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

2002: Microsoft launches the.NET initiative. Microsoft launches Azure ML Studio for machine learning capabilities on the cloud. Google launches BigQuery, its own data warehousing tool and Microsoft introduces Azure SQL Data Warehouse and Azure Data Lake Store. 1998: Google comes into existence.