AWS Big Data

MARCH 4, 2024

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 108

Snapshot Data Lake Metadata Recreation/Entertainment 108

AWS Big Data

NOVEMBER 17, 2023

Athena provides a simplified, flexible way to analyze petabytes of data where it lives. You can analyze data or build applications from an Amazon Simple Storage Service (Amazon S3) data lake and 30 data sources, including on-premises data sources or other cloud systems using SQL or Python.

Optimization 108

Optimization Statistics Metadata Data Lake 108

BizAcuity

MAY 10, 2022

2002: Microsoft launches the.NET initiative. Google launches BigQuery, its own data warehousing tool and Microsoft introduces Azure SQL Data Warehouse and Azure Data Lake Store. AWS rolls out SageMaker, designed to build, train, test and deploy machine learning (ML) models. 1998: Google comes into existence.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52