DareData

JULY 5, 2023

Learn how we build data lake infrastructures and help organizations all around the world achieving their data goals. In today's data-driven world, organizations are faced with the challenge of managing and processing large volumes of data efficiently.

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

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

JANUARY 26, 2022

Below we list the core duties that this data specialist may undertake. Data modeling. One of the core responsibilities of an analytics engineer is to model raw data into clean, tested, and reusable datasets. It is a big plus if your future analytics engineer has hands-on experience with tools for building data pipelines.

Engineering 59

Engineering Software Engineer Software Engineering Data Warehouse 59

ProjectPro

JULY 27, 2021

Data engineers and data scientists work very closely together, but there are some differences in their roles and responsibilities. Data Engineer Data scientist The primary role is to design and implement highly maintainable database management systems. It is difficult to query the required unstructured data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40