Remove Data Remove Data Pipeline Remove Engineering Remove ETL Tools
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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. Fast forward to the present day, and we now have data pipelines. However, they are not just an upgraded version of ETL. Yet, the technical problem is the same.

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Modern Data Engineering

Towards Data Science

Platform Specific Tools and Advanced Techniques Photo by Christopher Burns on Unsplash The modern data ecosystem keeps evolving and new data tools emerge now and then. In this article, I want to talk about crucial things that affect data engineers. Are your data pipelines efficient?

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Data Engineer vs Data Analyst: Key Differences and Similarities

Knowledge Hut

Did you know that data is now an essential component of modern business operations? With companies increasingly relying on data-driven insights to make informed decisions, there has never been a greater need for skilled specialists who can manage and evaluate vast amounts of data.

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Data Engineering Weekly #153

Data Engineering Weekly

RudderStack is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. I included this post because I often see high-pitched LinkedIn posts stating it is the human fault, especially around data quality issues.

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An Introduction To Data And Analytics Engineering For Non-Programmers

Data Engineering Podcast

Summary Applications of data have grown well beyond the venerable business intelligence dashboards that organizations have relied on for decades. Given this increased level of importance it has become necessary for everyone in the business to treat data as a product in the same way that software applications have driven the early 2000s.

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What is a Data Pipeline?

Grouparoo

In today’s data-driven business world, organizations are looking for more efficient ways to leverage data from a variety of sources. For example, businesses often need to evaluate their performance based on large volumes of customer and sales data that might be stored in a variety of locations and formats.

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Why Modernizing the First Mile of the Data Pipeline Can Accelerate all Analytics

Cloudera

Every enterprise is trying to collect and analyze data to get better insights into their business. Whether it is consuming log files, sensor metrics, and other unstructured data, most enterprises manage and deliver data to the data lake and leverage various applications like ETL tools, search engines, and databases for analysis.