Remove Data Management Remove Data Workflow Remove ETL Tools
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Fivetran vs Airflow: Complete Guide for 2024

Hevo

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 […]

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ETL for Snowflake: Why You Need It and How to Get Started

Ascend.io

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.

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Data Pipeline vs. ETL: Which Delivers More Value?

Ascend.io

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.

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What Is Data Engineering And What Does A Data Engineer Do? 

Meltano

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?

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Tableau Prep Builder: Streamline Your Data Preparation Process

Edureka

Tableau Prep has brought in a new perspective where novice IT users and power users who are not backward faithfully can use drag and drop interfaces, visual data preparation workflows, etc., simultaneously making raw data efficient to form insights. Directly visualizes and analyzes prepared data.

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Data Catalog - A Broken Promise

Data Engineering Weekly

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?

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Complete Guide to Data Transformation: Basics to Advanced

Ascend.io

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.