Data Engineering Weekly

APRIL 16, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make collecting data from every application, website, and SaaS platform easy, then activating it in your warehouse and business tools. Sign up free to test out the tool today.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Knowledge Hut

JANUARY 30, 2024

Customer Interaction Data: In customer-centric industries, extracting data from customer interactions (e.g., ETL (Extract, Transform, Load) Processes: ETL tools are designed for the extraction, transformation, and loading of data from one location to another.

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52

Maxime Beauchemin

JANUARY 20, 2017

The fact that ETL tools evolved to expose graphical interfaces seems like a detour in the history of data processing, and would certainly make for an interesting blog post of its own. Let’s highlight the fact that the abstractions exposed by traditional ETL tools are off-target.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

DataKitchen

FEBRUARY 21, 2023

As a result, a less senior team member was made responsible for modifying a production pipeline. A better ETL tool? Pick some other hot tool? His team is already on Azure and uses ADF, Synapse, PowerBi, and several powerful Azure Data Science tools.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Knowledge Hut

NOVEMBER 17, 2023

Becoming an Azure Data Engineer in this data-centric landscape is a promising career choice. The main duties of an Azure Data Engineer are planning, developing, deploying, and managing the data pipelines. Master data integration techniques, ETL processes, and data pipeline orchestration using tools like Azure Data Factory.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Ascend.io

MAY 31, 2023

In the modern world of data engineering, two concepts often find themselves in a semantic tug-of-war: data pipeline and ETL. Fast forward to the present day, and we now have data pipelines. However, they are not just an upgraded version of ETL. The data sources themselves are not built to perform analytics.

Data Pipeline 52

Data Pipeline ETL Tools Pipeline-centric Data Warehouse 52

Edureka

JULY 3, 2024

It then gathers and relocates information to a centralized hub in the cloud using the Copy Activity within data pipelines. Manage Workflow: ADF manages these processes through time-sliced, scheduled pipelines. Therefore, only authorized personnel can access and manipulate data pipelines and data stores.

Pipeline-centric 52

Pipeline-centric Data Lake Database-centric Data Pipeline 52