Data Science 101

NOVEMBER 7, 2019

Azure Synapse Analytics can be seen as a merge of Azure SQL Data Warehouse and Azure Data Lake. Synapse allows one to use SQL to query petabytes of data, both relational and non-relational, with amazing speed. Here they are in my order of importance (based upon my opinion). Azure Synapse.

Data Science 106

Data Science Azure SQL Machine Learning 106

Dataconomy

SEPTEMBER 4, 2023

Organizations must diligently manage access controls, encryption, and data protection to mitigate risks. For example, the 2019 Capital One breach exposed over 100 million customer records, highlighting the need for robust security measures. Ensure that data is clean, consistent, and up-to-date.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

IBM Journey to AI blog

JANUARY 10, 2023

This allows data that exists in cloud object storage to be easily combined with existing data warehouse data without data movement. The advantage to NPS clients is that they can store infrequently used data in a cost-effective manner without having to move that data into a physical data warehouse table.

Data Warehouse 52

Data Warehouse Data Analysis Data Analysis SQL 52

phData

NOVEMBER 8, 2024

Versioning also ensures a safer experimentation environment, where data scientists can test new models or hypotheses on historical data snapshots without impacting live data. Note : Cloud Data warehouses like Snowflake and Big Query already have a default time travel feature. FAQs What is a Data Lakehouse?

Data Lakes 52

Data Lakes Data Warehouse Database Azure 52

AWS Machine Learning Blog

NOVEMBER 1, 2024

AWS can play a key role in enabling fast implementation of these decentralized clinical trials. By exploring these AWS powered alternatives, we aim to demonstrate how organizations can drive progress towards more environmentally friendly clinical research practices.

AWS 112

AWS Data Lakes Machine Learning Machine Learning 112

phData

MAY 25, 2023

One of the easiest ways for Snowflake to achieve this is to have analytics solutions query their data warehouse in real-time (also known as DirectQuery). The December 2019 release of Power BI Desktop introduced a native Snowflake connector that supported SSO and did not require driver installation.

Power BI 84

Power BI Analytics Analytics Azure 84

phData

MAY 22, 2023

Next, read the API key and account name from a config file (utilizing an encrypted file is good practice) or by utilizing an online management resource such as AWS Secrets Manager if you plan to implement the solution on the web. After reading the keys and account ID from the config file, you can move on to the next step.

Python 52

Python Data Warehouse Analytics Analytics 52