Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. Data Engineers are engineers responsible for uncovering trends in data sets and building algorithms and data pipelines to make raw data beneficial for the organization.

Data Engineering 98

Data Engineering Data Engineer Engineering Hadoop 98

U-Next

AUGUST 17, 2022

NoSQL – This alternative kind of data storage and processing is gaining popularity. The term “NoSQL” refers to technology that is not dependent on SQL, to put it simply. Pipeline-centric: Pipeline-centric Data Engineers collaborate with data researchers to maximize the use of the info they gather.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Knowledge Hut

JUNE 20, 2023

In addition, they are responsible for developing pipelines that turn raw data into formats that data consumers can use easily. Apache Spark, Microsoft Azure, Amazon Web services, etc. They take raw data from the pipelines and enhance programming frameworks using the big data tools that are now accessible.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Knowledge Hut

JULY 3, 2023

It offers practical experience with streaming data, efficient data pipelines, and real-time analytics solutions. Appreciated Customer Experience: The industry focuses on customer-centric approaches to enhance the overall customer experience. It provides real-time data pipelines and integration with various data sources.

Data Ingestion 52

Data Ingestion Google Cloud Pipeline-centric Media 52