Artificial Corner

JUNE 6, 2023

The advent of relational databases and data warehouses in the 1970s and 1980s set the stage for the next wave of advancements in data engineering, including the development of data mining techniques, the rise of big data, and the evolution of data storage and processing technologies.

Data Mining 52

Data Mining Big Data ETL Machine Learning 52

Marktechpost

JULY 17, 2023

Predictive analytics uses methods from data mining, statistics, machine learning, mathematical modeling, and artificial intelligence to make future predictions about unknowable events. It creates forecasts using historical data. A data lake and a data warehouse are integrated into the Lakehouse Platform.

Data Mining 98

Data Mining Machine Learning Data Scientist Artificial Intelligence 98

Pickl AI

JUNE 11, 2024

Let’s delve into the key components that form the backbone of a data warehouse: Source Systems These are the operational databases, CRM systems, and other applications that generate the raw data feeding the data warehouse. Data Extraction, Transformation, and Loading (ETL) This is the workhorse of architecture.

ETL 52

ETL Data Mining Actionable Intelligence Data Integration 52