Knowledge Hut

NOVEMBER 28, 2023

Python Python is one of the most looked upon and popular programming languages, using which data engineers can create integrations, data pipelines, integrations, automation, and data cleansing and analysis. An effective ETL system should also be designed to ingest data from potentially many different sources.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Grouparoo

OCTOBER 26, 2021

Some common data pipeline tools include data warehouses, ETL tools, Reverse ETL tools, data lakes, batch workflow schedulers, data processing tools, and programming languages such as Python, Ruby, and Java. Unlike traditional ETL systems, data pipelines don’t have to move data in batches.

Data Pipeline 52

Data Pipeline ETL Tools ETL System Data Warehouse 52

Knowledge Hut

MAY 2, 2024

Multiple Language Support: Spark provides multiple programming language support and you can use it interactively from the Scala, Python, R, and SQL shells. A lot of organizations are moving to Spark as their ETL processing layer from legacy ETL systems like Informatica.

Scala 96

Scala Hadoop Datasets Java 96

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. However, several tools are now available that significantly simplify the creation of Python ETL data pipelines.

Process 52

Process Data Pipeline Data Warehouse AWS 52