Hevo

AUGUST 16, 2024

In the world of data management, ETL (Extract, Transform, Load) tools play a crucial role in ensuring data is efficiently integrated, transformed, and loaded into data warehouses. The right ETL tools can significantly streamline […]

ETL Tools 52

ETL Tools Data Warehouse Data Workflow Data Management 52

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

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 63

Metadata Data Warehouse ETL Tools Data Workflow 63

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?

Data Engineering 52

Data Engineering Data Engineer Engineering Raw Data 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. Data Ingestion Data ingestion is the first step of both ETL and data pipelines. The data sources themselves are not built to perform analytics.

Data Pipeline 52

Data Pipeline ETL Tools Pipeline-centric Data Warehouse 52

Ascend.io

OCTOBER 28, 2024

Instead of processing individual data points as they arrive, data is collected into small batches that are processed at regular intervals. The following best practices will help teams optimize their transformation processes, improve efficiency, and provide the necessary safeguards for reliable data operations.

Raw Data 52

Raw Data Datasets Aggregated Data Data Pipeline 52

Knowledge Hut

NOVEMBER 17, 2023

The demand for qualified experts who can make use of Azure's data capabilities, eventually promoting organizational efficiency, innovation, and informed decision-making through efficient data management and analytics, is what motivates employers to hire Azure Data Engineers. Why Do Companies Hire Azure Data Engineers?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52