ProjectPro

DECEMBER 7, 2021

Generally, data pipelines are created to store data in a data warehouse or data lake or provide information directly to the machine learning model development. Keeping data in data warehouses or data lakes helps companies centralize the data for several data-driven initiatives.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

AltexSoft

AUGUST 4, 2021

Instead of combing through the vast amounts of all organizational data stored in a data warehouse, you can use a data mart — a repository that makes specific pieces of data available quickly to any given business unit. What is a data mart? Data mart vs data warehouse vs data lake vs OLAP cube.

Data Lake 64

Data Lake Data Warehouse ETL Tools Telecommunication 64

AltexSoft

JANUARY 26, 2022

Since not all information can be useful as is, analytics engineers need to apply various transformations to different data pieces to ensure they correspond to given tasks. The ELT paradigm allows for loading raw data right into a cloud warehouse, data lake , or lakehouse , so transformations can happen afterward.

Engineering 59

Engineering Software Engineer Software Engineering Data Warehouse 59

ProjectPro

JULY 27, 2021

Data engineers use the organizational data blueprint to collect, maintain and prepare the required data. Data architects require practical skills with data management tools including data modeling, ETL tools, and data warehousing.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40