Grouparoo

FEBRUARY 9, 2022

The testing process is often performed during the initial setup of a data warehouse after new data sources are added to a pipeline and after data integration and migration projects. ETL testing can be challenging since most ETL systems process large volumes of heterogeneous data.

Process 52

Process ETL System Data Warehouse Metadata 52

Monte Carlo

MAY 17, 2023

It’s hard to convince departments to launch experiments or executives to trust them if no one believes in the underlying data or the dashboards they look at every day. Oftentimes these ETL systems come under considerable pressure as all of your stakeholders want to look at every metric a million different ways with sub second latency.

Data 52

Data Data Pipeline Data Engineer Data Engineering 52

Monte Carlo

MAY 17, 2023

It’s hard to convince departments to launch experiments or executives to trust them if no one believes in the underlying data or the dashboards they look at every day. Oftentimes these ETL systems come under considerable pressure as all of your stakeholders want to look at every metric a million different ways with sub second latency.

Data Pipeline 52

Data Pipeline Data Engineer Data Engineering Data 52

ProjectPro

NOVEMBER 30, 2021

Incremental Extraction Each time a data extraction process runs (such as an ETL pipeline), only new data and data that has changed from the last time are collected—for example, collecting data through an API. Stage Data Data that has been transformed is stored in this layer.

Process 52

Process Data Warehouse Data Pipeline AWS 52