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Data pipelines: what, why and which ones

Towards Data Science

If you are working in the Data Science field you might continuously see the term “data pipeline” in various articles and tutorials. You might have also noticed that the term pipeline can refer to…

Data pipelines in a nutshell

Python in Plain English

Just as water originates in lakes, oceans, and rivers, data begins in data lakes, databases, and through real-time streaming. However, both raw water and raw data are unfit for direct consumption or u...

Data Pipeline Design Principles

Towards Data Science

In 2020, the field of open-source Data Engineering is finally coming-of-age. In addition to the heavy duty proprietary software for creating data pipelines, workflow orchestration and testing, more…

The final step of a Data Pipeline

Towards Data Science

While the Bard may have been right when it came to true love: Romeo or Jignesh, the name wouldn’t have mattered to Juliet, I find the name to be of utmost importance when it comes to how people in…

Comprehensive Guide to Data Pipelines: Processes, Performance, and Tools

Level Up Coding

Photo by Christophe Dion on Unsplash Data is the lifeblood of modern businesses, and efficiently managing its flow from source to destination is crucial for making informed decisions, gaining insights...

Data pipeline design patterns

Towards Data Science

Choosing the right architecture with examples Continue reading on Towards Data Science

How we think about Data Pipelines is changing

Towards Data Science

Member-only story How we think about Data Pipelines is changing The goal is to reliably and efficiently release data into production Hugo Lu · Follow Published in Towards Data Science · 6 min read · J...

The Prefect Way to Automate & Orchestrate Data Pipelines

Towards Data Science

We used Apache Airflow to manage tasks on a data science project. But, with Prefect, you can manage tasks conveniently.

Diving Into Data Pipelines — Foundations of Data Engineering

Towards AI

A data pipeline is a set of rules that stimulates and transforms data from multiple sources to a destination where new values can be obtained. In the most simplistic form, pipelines may extract only…

Building Data Pipelines Without a Single Line of Code

Towards Data Science

A post about the steps to create ETL data pipeline without writing a line of code using Google Cloud Dataprep and BigQuery.

15 Essential Steps To Build Reliable Data Pipelines

Towards Data Science

If I learned anything from working as a data engineer, it is that practically any data pipeline fails at some point. Broken connection, broken dependencies, data arriving too late, or some external…

The World’s Smallest Data Pipeline Framework

Towards Data Science

A simple and fast data pipeline foundation with sophisticated functionality. Photo by Ana Lucia Cottone on Unsplash Data wrangling is perhaps the job that occupies the most time from Data Scientists....