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 114

Snapshot Data Lake Metadata Recreation/Entertainment 114

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. Wei Zheng is a Sr.

Optimization 114

Optimization Statistics Metadata Data Lake 114

Domino Data Lab

APRIL 3, 2019

Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Granted, I’m no expert in DG. a second priority?at

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Domino Data Lab

AUGUST 8, 2019

Data science teams should watch what’s happening here, especially the emphasis in the EU. That’s a can-o-worms that exposes problems with Silicon Valley product management culture not entirely comprehending the real-world issues of MLOps. 2018 – Global reckoning about data governance, aka “Oops! machine learning?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71