AWS Machine Learning Blog

NOVEMBER 1, 2023

Organizations can search for PII using methods such as keyword searches, pattern matching, data loss prevention tools, machine learning (ML), metadata analysis, data classification software, optical character recognition (OCR), document fingerprinting, and encryption.

AWS 99

AWS Machine Learning Machine Learning ML 99

phData

JULY 1, 2024

It allows data engineers familiar with Python and Pandas to run their Pandas code in a scalable and distributed manner. Many more exciting features and updates include AI-powered Object Descriptions, Universal Search, and Sensitive Data Classification with Snowflake Horizon. schemas["my_schema"].tables.create(my_table)

Python 52

Python Database Data Pipeline SQL 52

Alation

MAY 16, 2023

Data is a valuable resource, especially in the world of business. A McKinsey survey found that companies that use customer analytics intensively are 19 times higher to achieve above-average profitability. But with the sheer amount of data continually increasing, how can a business make sense of it? Robust data pipelines.

Data Pipeline 69

Data Pipeline Data Governance Data Lakes Data Warehouse 69

phData

FEBRUARY 14, 2023

Masked data provides a cost-effective way to help test if a system or design will perform as expected in real-life scenarios. As the insurance industry continues to generate a wider range and volume of data, it becomes more challenging to manage data classification.

Data Governance 52

Data Governance Data Silos Predictive Analytics Data Wrangling 52

Alation

MARCH 1, 2022

Bill Hostmann, VP and Research Fellow at Dresner Advisory Services agrees “Data catalogs have emerged as a core set of capabilities for making content easier to find for analytic use cases, especially when there are multiple data sources being accessed for various analytic use cases. and, How did it transform over time?

Data Warehouse 52

Data Warehouse Data Lakes Cloud Data Database 52

phData

FEBRUARY 16, 2023

These projects should include all functional areas within the data platform including analytics engineering, machine learning , and data science. Data governance and data classification are potential reasons to separate projects in dbt Cloud.

Database 52

Database Azure Data Classification Data Governance 52

Alation

MAY 16, 2023

Data is a valuable resource, especially in the world of business. A McKinsey survey found that companies that use customer analytics intensively are 19 times higher to achieve above-average profitability. But with the sheer amount of data continually increasing, how can a business make sense of it? Robust data pipelines.

Data Pipeline 40

Data Pipeline Data Governance Data Lakes Data Warehouse 40