Ascend.io

DECEMBER 19, 2023

We’ll talk about when and why ETL becomes essential in your Snowflake journey and walk you through the process of choosing the right ETL tool. Our focus is to make your decision-making process smoother, helping you understand how to best integrate ETL into your data strategy. But first, a disclaimer.

ETL Tools 52

ETL Tools IT Data Pipeline Data Warehouse 52

Knowledge Hut

MARCH 28, 2024

Data Engineer Career: Overview Currently, with the enormous growth in the volume, variety, and veracity of data generated and the will of large firms to store and analyze their data, data management is a critical aspect of data science. That’s where data engineers are on the go.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

NOVEMBER 17, 2023

Their job entails Azure data engineer skills like using big data, databases, data lakes, and analytics to help firms make efficient data-driven decisions. The DP 203 syllabus is designed by incorporating real-world business case studies and activities, you can make sure that your abilities are applicable to the workplace.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Data Engineering Weekly

DECEMBER 29, 2022

Data catalogs are the most expensive data integration systems you never intended to build. Data Catalog as a passive web portal to display metadata requires significant rethinking to adopt modern data workflow, not just adding “modern” in its prefix. How happy are you with your data catalogs?

Metadata 62

Metadata Data Warehouse ETL Tools Data Workflow 62

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. However, they are not just an upgraded version of ETL. They are different tools with different capabilities, designed to handle different tasks.

Data Pipeline 52

Data Pipeline ETL Tools Pipeline-centric Data Warehouse 52

Meltano

OCTOBER 5, 2022

We’ll explain what a data engineer is, what the job entails, and how to become a data engineer. Plus, we’ll explain how data engineers use Meltano, our DataOps platform, for efficient data management. What Is Data Engineering? A data engineer’s focus is mainly on raw data, formats, security, and storage.

Data Engineering 52

Data Engineering Data Engineer Engineering Raw Data 52

Meltano

OCTOBER 5, 2022

Think about data operations as a factory assembly line where a warehouse engineer optimizes and automates processes to increase productivity and product quality. In the same way, a DataOps engineer designs the data assembly line that enables data scientists to derive insights from data analytics faster and with fewer errors.

Engineering 52

Engineering Raw Data Data Pipeline ETL Tools 52