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 115

Snapshot Data Lake Metadata Recreation/Entertainment 115

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 115

Optimization Statistics Metadata Data Lake 115

Domino Data Lab

APRIL 3, 2019

“Flashpoint” (2018) – GDPR went into effect, plus major data blunders happened seemingly everywhere. Data coming from machines tends to land (aka, data at rest ) in durable stores such as Amazon S3, then gets consumed by Hadoop, Spark, etc. Somehow, the gravity of the data has a geological effect that forms data lakes.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

AWS Big Data

AUGUST 28, 2023

OpenSearch Ingestion provides a serverless ingestion framework to easily ingest Security Lake data into OpenSearch Service with just a few clicks. For instructions, refer to Creating and managing Amazon OpenSearch Service domains. For instructions, refer to Managing multiple accounts with AWS Organizations. Choose Next.

Dashboards 52

Dashboards Visualization Metadata Management 52