Ascend.io

SEPTEMBER 14, 2023

The rise of data-intensive operations has positioned data engineering at the core of today’s organizations. As the demand to efficiently collect, process, and store data increases, data engineers have started to rely on Python to meet this escalating demand. Why Python for Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

Cloudyard

SEPTEMBER 2, 2024

Read Time: 1 Minute, 36 Second Snowflake’s support for Python stored procedures allows data engineers and scientists to leverage Python’s vast ecosystem directly within Snowflake. This capability enables advanced analytics, custom data processing, and seamless integration of Python libraries.

Python 96

Python Utilities Coding Data Engineering 96

Simon Späti

OCTOBER 19, 2022

Will Rust kill Python for Data Engineers? But then again, you have to ask: was Python made for Data Engineering in the first place? Let’s explore why Rust has potential for data engineers, what it does well and why it has become the most loved programming language for 7 years running.

Data Engineering 130

Data Engineering Data Engineer Engineering Programming Language 130

Simon Späti

OCTOBER 19, 2022

Will Rust kill Python for Data Engineers? But then again, you have to ask: was Python made for Data Engineering in the first place? Let’s explore why Rust has potential for data engineers, what it does well and why it has become the most loved programming language for 7 years running.

Data Engineering 130

Data Engineering Data Engineer Engineering Programming Language 130

Analytics Vidhya

FEBRUARY 6, 2023

Introduction While working with multiple projects, there are chances of issues with versions of packages in python; for example, a project needs a new version of a package, and another requires a different version. Sometimes the python version itself changes from project to project.

Python 218

Python Project Management Data Engineering 218

Christophe Blefari

JANUARY 20, 2024

Learn data engineering, all the references ( credits ) This is a special edition of the Data News. But right now I'm in holidays finishing a hiking week in Corsica 🥾 So I wrote this special edition about: how to learn data engineering in 2024. Who are the data engineers?

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Data Engineering Weekly

JULY 21, 2024

Editor’s Note: A New Series on Data Engineering Tools Evaluation There are plenty of data tools and vendors in the industry. Data Engineering Weekly is launching a new series on software evaluation focused on data engineering to better guide data engineering leaders in evaluating data tools.

Data Engineering 117

Data Engineering Data Engineer Engineering Generalist 117

Data Engineering Weekly

JULY 28, 2024

[link] Mikkel Dengsøe: How top data teams are structured What would the correct ratio of the number of data engineers corresponding to the overall people count in an organization? What are the different roles inside the data engineering functions, and what should their ratio be?

Data Engineering 109

Data Engineering Data Engineer Engineering Database-centric 109

Confessions of a Data Guy

JUNE 3, 2024

Nothing will raise the hackles on the backs of hairy and pale programmers who’ve been stuck in their mom’s basement for a decade like bringing up OOP (Object Oriented Programming), especially in the context of Python. appeared first on Confessions of a Data Guy.

Python 130

Python Programming IT Data 130

Jesse Anderson

DECEMBER 12, 2022

Big data projects were given to data scientists and data warehouse teams, where the projects subsequently failed. As clearly evident as that sounds now, my writing about needing data engineering went heavily against the grain of everything that was written at the time. Now people are excited about Rust.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Analytics Vidhya

JUNE 20, 2023

Introduction In today’s data-driven world, organizations across industries are dealing with massive volumes of data, complex pipelines, and the need for efficient data processing.

Data Process 217

Data Process Data Engineering Data Engineer Process 217

Monte Carlo

NOVEMBER 22, 2024

Your data engineering pipeline started simple: a few CSV exports, some Python scripts, and manual updates every week. Your user base has quintupled, analytics requests are piling up, and that trusty Python script crashes more often than it runs. Back then, it worked just fine for your small team and handful of customers.

Data Engineering 52

Data Engineering Data Engineer Building Engineering 52

Waitingforcode

FEBRUARY 3, 2023

In this blog post I'll share with you a list of Java and Scala classes I use almost every time in data engineering projects. The part for Python will follow next week! We all have our habits and as programmers, libraries and frameworks are definitely a part of the group.

Scala 130

Scala Java Data Engineering Data Engineer 130

Towards Data Science

JUNE 12, 2024

Python tricks and techniques for data ingestion, validation, processing, and testing: a practical walkthrough Continue reading on Towards Data Science »

Python 52

Python Data Engineering Data Engineer Coding 52

Data Engineering Podcast

FEBRUARY 5, 2023

In that time there have been a number of generational shifts in how data engineering is done. Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? __init__ covers the Python language, its community, and the innovative ways it is being used.

Data Engineering 147

Data Engineering Data Engineer Engineering PostgreSQL 147

Confessions of a Data Guy

JUNE 11, 2024

One of the things I love about Python is its flexibility and huge community, a community that puts out a never-ending stream of useful packages for the average Software Engineer.

Python 100

Python Building Software Engineer Software Engineering 100

Towards Data Science

NOVEMBER 20, 2024

It is worth mentioning that this article comes from an Electrical and Electronic Engineer graduate who went all the way and spent almost 8 years in academia learning about the Energy sector (and when I say all the way, I mean from a bachelor degree to a PhD and postdoc). Similarly, data engineering positions have seen a 98% increase.

Data Engineering 62

Data Engineering Data Engineer Engineering Electronics 62

Data Engineering Podcast

JULY 2, 2023

In this episode Razi Raziuddin shares how data engineering teams can support the machine learning workflow through the development and support of systems that empower data scientists and ML engineers to build and maintain their own features. What is the role of the data engineer in supporting those interfaces?

Machine Learning 130

Machine Learning Data Engineering Data Engineer Engineering 130

Analytics Vidhya

FEBRUARY 6, 2023

This ensures easy […] The post What are Data Access Object and Data Transfer Object in Python? Especially while working with databases, it is often considered a good practice to follow a design pattern. appeared first on Analytics Vidhya.

Accessible 234

Accessible Accessibility Python Database 234

Towards Data Science

OCTOBER 21, 2023

Advanced ETL techniques for beginners Continue reading on Towards Data Science »

Data Engineering 83

Data Engineering Data Engineer Python Engineering 83

Data Engineering Weekly

OCTOBER 13, 2024

Genie addresses these challenges by providing quick and accurate answers to questions, retrieving relevant information from internal knowledge bases, and reducing the need for constant interaction with on-call engineers.

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52

Confessions of a Data Guy

AUGUST 1, 2024

The post Daft: Distributed Dataframes with Python. appeared first on Confessions of a Data Guy.

Python 100

Python Data Big Data Data Engineering 100

Snowflake

OCTOBER 23, 2023

One of our goals at Snowflake is to ensure we continue to deliver a best-in-class platform for Python developers. Snowflake customers are already harnessing the power of Python through Snowpark , a set of runtimes and libraries that securely deploy and process non-SQL code directly in Snowflake.

Python 141

Python Cloud Data Science Machine Learning 141

Confessions of a Data Guy

APRIL 16, 2023

You might think […] The post DuckDB vs Polars for Data Engineering. appeared first on Confessions of a Data Guy. I haven’t seen this since Databricks and Snowflake first came out and started throwing mud at each other.

Data Engineering 147

Data Engineering Data Engineer Engineering SQL 147

Seattle Data Guy

FEBRUARY 11, 2023

Apache Airflow is a very popular tool that data engineers rely on. Why do data engineers like Airflow? What are… Read more The post What Is Apache Airflow – Data Engineering Consulting appeared first on Seattle Data Guy. Also, what does Apache Airflow event do? What is a DAG?

Consulting 147

Consulting Data Engineering Data Engineer Engineering 147

Cloudera

JULY 13, 2021

After the launch of CDP Data Engineering (CDE) on AWS a few months ago, we are thrilled to announce that CDE, the only cloud-native service purpose built for enterprise data engineers, is now available on Microsoft Azure. . Prerequisites for deploying CDP Data Engineering on Azure can be found here.

Data Engineering 125

Data Engineering Data Engineer Engineering Pipeline-centric 125

Towards Data Science

MAY 22, 2023

Solving data preparation tasks with ChatGPT Photo by Ricardo Gomez Angel on Unsplash Data engineering makes up a large part of the data science process. In CRISP-DM this process stage is called “data preparation”. It comprises tasks such as data ingestion, data transformation and data quality assurance.

Data Engineering 90

Data Engineering Data Engineer Engineering Data Science 90

Data Engineering Weekly

AUGUST 4, 2024

Take Astro (the fully managed Airflow solution) for a test drive today and unlock a suite of features designed to simplify, optimize, and scale your data pipelines. We look at efficiency in data processing within a single node, which increases the momentum for systems like DuckDB, Arrow, and Polaris.

Data Engineering 80

Data Engineering Data Engineer Engineering Data 80

Knowledge Hut

FEBRUARY 1, 2024

Variables in Python are fundamental containers used for storing and manipulating data in a program. In Python programming, variables are the backbone of data manipulation and program logic. They hold and transform data, allowing for the execution of algorithms and the management of large datasets.

Python 98

Python Programming Language Programming Coding 98

Lyft Engineering

MARCH 6, 2024

DEED In this post, we’ll cover how Lyft upgrades Python at scale — 1500+ repos spanning 150+ teams — and the latest iteration of the tools and strategy we’ve built to optimize both the overall time to upgrade and the work required from our engineers. Python, How Do I L̶o̶v̶e̶ Use Thee? Everything starts with data.

Python 73

Python Metadata Datasets Coding 73

Confessions of a Data Guy

FEBRUARY 25, 2024

I love to write Rust … but I deploy Python. Even when I know I […] The post Why I Love Rust, but Deploy Python appeared first on Confessions of a Data Guy. I’m not sure if others have this same problem, maybe they are lucky, they get to build in their favorite language 24/7, it’s their tool of choice.

Python 113

Python Building Data IT 113

Confessions of a Data Guy

SEPTEMBER 9, 2023

Nothing screams “why are flying by night,” than coming into a Data Team only to find no tests, no docs, no deployments, no Docker, no nothing. […] The post The Role of DevOps and CI/CD in Data Engineering appeared first on Confessions of a Data Guy.

Data Engineering 162

Data Engineering Data Engineer Engineering Data Pipeline 162

Start Data Engineering

OCTOBER 11, 2021

Leetcode: data structures and algorithms 4. Data modeling 4.1 Data warehousing 4.2 Data pipelines 6. Introduction Skills 1. Distributed system fundamentals 7. Event streaming 8. System design 9. Business questions 10. Cloud computing 11.

Data Engineering 130

Data Engineering Data Engineer Engineering Cloud Computing 130

Snowflake

JUNE 20, 2024

In the age of AI, enterprises are increasingly looking to extract value from their data at scale but often find it difficult to establish a scalable data engineering foundation that can process the large amounts of data required to build or improve models. Snowflake customers see an average of 4.6x

Data Engineering 94

Data Engineering Data Engineer Scala Engineering 94

Confessions of a Data Guy

OCTOBER 6, 2023

I wring my hands sometimes, wishing that things and technologies somehow come together into some bubbling […] The post The Ultimate Data Engineering Chadstack. appeared first on Confessions of a Data Guy. At the moment Rust and Airflow are at least somewhere at the top of that list. Running Rust inside Apache Airflow.

Data Engineering 147

Data Engineering Data Engineer Engineering Data 147

Data Engineering Podcast

JANUARY 30, 2022

Summary Pandas is a powerful tool for cleaning, transforming, manipulating, or enriching data, among many other potential uses. As a result it has become a standard tool for data engineers for a wide range of applications. What are the main tasks that you have seen Pandas used for in a data engineering context?

Data Engineering 100

Data Engineering Data Engineer Engineering Python 100

Data Engineering Weekly

MARCH 17, 2024

It also introduces emerging standards like the Open Data Contract Standard and Data Product Descriptor Specification. As you know, I’m fascinated by data products and the potential to change the data engineering practice. Can we measure the cost of data incidents?

Data Engineering 70

Data Engineering Data Engineer Engineering Kafka 70