Remove Data Pipeline Remove Engineering Remove ETL Tools
article thumbnail

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

Cloudera

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. Let’s transform the first mile of the data pipeline.

article thumbnail

Data Engineer vs Data Analyst: Key Differences and Similarities

Knowledge Hut

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. The roles of data analyst and data engineer have emerged as two of the most in-demand professions in today's job market.

article thumbnail

An Introduction To Data And Analytics Engineering For Non-Programmers

Data Engineering Podcast

In this episode Brian McMillan shares his work on the book "Building Data Products" and how he is working to educate business users and data professionals about the combination of technical, economical, and business considerations that need to be blended for these projects to succeed.

article thumbnail

A Notebook is all I want or Don't

Data Engineering Weekly

There is no underlying semantics for unit testing the code and data testing build-in. Lack of Dataops Support Data orchestration engines like Airflow are built on the underlying Python programming language semantics. YAML Every data orchestration engine eventually shows love to YAML configuration-driven orchestration engines.

article thumbnail

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.

article thumbnail

Data Scientist vs Data Engineer: Differences and Why You Need Both

AltexSoft

Was Nikola Tesla a scientist or engineer? These men didn’t stop at scientific research and ended up conceptualizing or engineering their inventions. Engineers are not only the ones bearing helmets and operating on construction sites. Data science vs data engineering. How about Edison? Or Da Vinci?

article thumbnail

What is a Data Pipeline?

Grouparoo

As a result, data has to be moved between the source and destination systems and this is usually done with the aid of data pipelines. What is a Data Pipeline? A data pipeline is a set of processes that enable the movement and transformation of data from different sources to destinations.