Hacker News

FEBRUARY 14, 2023

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Data Classification 93

Data Classification Python 93

Smart Data Collective

JANUARY 9, 2023

SQL uses a straightforward system of data classification with tables and columns that make it relatively easy for people to navigate and use. Python is a high-level, general-purpose programming language that has a wide variety of uses and applications. R Programming Language.

Database 112

Database SQL Python Data Scientist 112

phData

JULY 1, 2024

Snowflake announced many new features that will enhance development and collaboration: Snowflake Notebooks: Currently available in public preview, Snowflake notebooks provide a notebook interface that enables data teams to collaborate with Python and SQL in one place. Furthermore, Snowflake Notebooks can also be run on a schedule.

Python 52

Python Database Data Pipeline SQL 52

phData

OCTOBER 23, 2023

Limitation of Data Classification Table Function Tagging is a feature in Snowflake, represented as a schema-level object. It empowers a data governance team to mark and label PII and sensitive information, followed by associating a policy object to safeguard these fields.

Data Governance 52

Data Governance Python Data Classification Azure 52

AWS Machine Learning Blog

MARCH 29, 2023

Data ingestion and extraction Evaluation reports are prepared and submitted by UNDP program units across the globe—there is no standard report layout template or format. The postprocessing component is capable of extracting data from complex, multi-format, multi-page PDF files with varying headers, footers, footnotes, and multi-column data.

AWS 87

AWS ML ML Data Classification 87

Flipboard

JUNE 26, 2023

Load and visualize the raw data in Neptune This section uses SageMaker Jupyter notebooks to load, query, explore, and visualize the raw property and auto insurance data in Neptune. We use Python scripts to analyze the data in a Jupyter notebook. Under Data classification tools, choose Record Matching.

AWS 123

AWS ML ML ETL 123

Alation

MARCH 1, 2022

Manual lineage will give ARC a fuller picture of how data was created between AWS S3 data lake, Snowflake cloud data warehouse and Tableau (and how it can be fixed). It will also spare ARC the time-suck of parsing Python transformations in pursuit of that picture. Yet manual classification can gobble time.

Data Warehouse 52

Data Warehouse Data Lakes Cloud Data Database 52