Knowledge Hut

NOVEMBER 28, 2023

Data Pipelines Data lakes continue to get new names in the same year, and it becomes imperative for data engineers to supplement their skills with data pipelines that help them work comprehensively with real-time streams, daily occurrence raw data, and data warehouse queries.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

JUNE 20, 2023

Skills A data engineer should have good programming and analytical skills with big data knowledge. Examples Pull daily tweets from the data warehouse hive spreading in multiple clusters. Additionally, they create and test the systems necessary to gather and process data for predictive modelling.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

dbt Developer Hub

MARCH 23, 2023

However, ensuring that the values in the original table and in the refactored one match used to be a hard task that involved a lot of manual coding and some generalistic tests (such as counting the amount of rows or summing all values in a column).

Data Warehouse 64

Data Warehouse Generalist SQL Coding 64

Towards Data Science

JUNE 8, 2023

Specialists or generalists? We examine which team structures are the best suited for efficiently improving data quality. Sure, data quality is everyones’ problem. For one, data engineers are often in short supply and so focused on systems and pipelines that they don’t always have as deep domain knowledge of the data.

Data Governance 79

Data Governance Government Generalist Data Engineering 79

Knowledge Hut

FEBRUARY 27, 2023

Engineers work with Data Scientists to help make the most of the data they collect and have deep knowledge of distributed systems and computer science. In large organizations, data engineers concentrate on analytical databases, operate data warehouses that span multiple databases, and are responsible for developing table schemas.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Grouparoo

OCTOBER 6, 2021

This provided a nice overview of the breadth of topics that are relevant to data engineering including data warehouses/lakes, pipelines, metadata, security, compliance, quality, and working with other teams. 69 The End of ETL as We Know It Use events from the product to notify data systems of changes.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52