phData

JULY 1, 2024

The recent Snowflake Summit 2024 brought plenty of exciting upcoming features, GA announcements, strategic partnerships, and many more opportunities for customers on the Snowflake AI Data Cloud to innovate. If you are new to Snowflake Cortex AI, check out this introductory blog. schemas["my_schema"].tables.create(my_table)

Python 52

Python Database Data Pipeline SQL 52

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 110

AWS Machine Learning Machine Learning ML 110

phData

FEBRUARY 14, 2023

To keep up with the rapidly growing Insurance industry and its increasing data and compute needs, it’s important to centralize data from multiple sources while maintaining high performance and concurrency. Masked data provides a cost-effective way to help test if a system or design will perform as expected in real-life scenarios.

Data Governance 52

Data Governance Data Silos Predictive Analytics Data Scientist 52

phData

JANUARY 15, 2024

Security is the protective shield that guards your data against hackers and unauthorized access, while Compliance is a set of rules and guidelines that ensures data is handled correctly by following laws, ethics, and industry standards. Together, they ensure your data is protected while not breaking any rules.

Data Governance 52

Data Governance Database Data Warehouse Cloud Computing 52

phData

JUNE 20, 2024

It is the ideal single source of truth to support analytics and drive data adoption – the foundation of the data culture! In this blog, we’ll walk you through how to build a sustainable data culture with Snowflake. Understanding Data Culture A data culture is really about people having trust in the data.

Data Governance 52

Data Governance Analytics Analytics Power BI 52

Flipboard

MARCH 21, 2025

Traditionally, answering this question would involve multiple data exports, complex extract, transform, and load (ETL) processes, and careful data synchronization across systems.

SQL 136

SQL Data Analyst Data Warehouse AWS 136

AWS Machine Learning Blog

MARCH 27, 2025

model_id = "anthropic.claude-3-5-sonnet-20240620-v1:0" # Load the prompt from a file (showed and explained later in the blog) with open('prompt.txt', 'r') as file: data = file.read() def callBedrock(body): # Format the request payload using the model's native structure. client = boto3.client("bedrock-runtime",

AWS 91

AWS ETL ML ML 91