Cloudera

JUNE 2, 2022

In the modern data stack, there is a diverse set of destinations where data needs to be delivered. The newer “extract/load” tools seem to focus primarily on cloud data sources with schemas. Instead they built or purchased tools for data collection that are confined with a class of sources and destinations.

Enterprise 104

Enterprise Data Lake Data Collection Data-driven 104

CIO Business Intelligence

JULY 13, 2022

In the modern data stack, there is a diverse set of destinations where data needs to be delivered. The newer “extract/load” tools seem to focus primarily on cloud data sources with schemas. Instead they built or purchased tools for data collection that are confined with a class of sources and destinations.

Enterprise 59

Enterprise Data Lake Data Collection Data-driven 59

Alation

FEBRUARY 13, 2020

Since the year 2000, new discoveries are coming at a fast and furious pace in many technology sectors, including software, material science, neuroscience, and genetics. More often than not, today, the key to unlocking that accomplishment sits within a tsunami of data: data collected from consumers, applications, and sensors.

Machine Learning 52

Machine Learning Data-driven Big Data Technology 52

Jet Global

MAY 9, 2024

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52