IBM Journey to AI blog

SEPTEMBER 11, 2023

Codd published his famous paper “ A Relational Model of Data for Large Shared Data Banks.” Boyce to create Structured Query Language (SQL). Developers can leverage features like REST APIs, JSON support and enhanced SQL compatibility to easily build cloud-native applications. Chamberlin and Raymond F.

Database 101

Database SQL Data Warehouse Machine Learning 101

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

FEBRUARY 28, 2023

Query the data using Athena By running Athena SQL queries directly on Amazon HealthLake, we are able to select only those fields that are not personally identifying; for example, not selecting name and patient ID, and reducing birthdate to birth year. In this post, we used Amazon S3 as the input data source for SageMaker Canvas.

ML 95

ML ML AWS Machine Learning 95

Mlearning.ai

FEBRUARY 10, 2023

Back in 2016 I was trying to explain to software engineers how to think about machine learning models from a software design perspective; I told them that they should think of a database. Both serve as a means of storing representations of historical data, which can later be queried. and “How many rides did Chana have last month?”

Database 52

Database Data Warehouse Machine Learning Machine Learning 52