7 Python Libraries Every Data Engineer Should Know
KDnuggets
APRIL 25, 2024
Interested in switching to data engineering? Here’s a list of Python libraries you’ll find super helpful.
Snowflake’s New Python API Empowers Data Engineers to Build Modern Data Pipelines with Ease
Snowflake
APRIL 17, 2024
Yet while SQL applications have long served as the gateway to access and manage data, Python has become the language of choice for most data teams, creating a disconnect. Recognizing this shift, Snowflake is taking a Python-first approach to bridge the gap and help users leverage the power of both worlds.
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Webinars
Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications
From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success
Understanding User Needs and Satisfying Them
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know
Seamless SQL And Python Transformations For Data Engineers And Analysts With SQLMesh
Data Engineering Podcast
JUNE 25, 2023
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management RudderStack helps you build a customer data platform on your warehouse or data lake. __init__ covers the Python language, its community, and the innovative ways it is being used.
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225 Webinars
Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications
From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success
Understanding User Needs and Satisfying Them
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know
AWS Lambdas – Python vs Rust. Performance and Cost Savings.
Confessions of a Data Guy
FEBRUARY 26, 2023
Someone on Linkedin recently brought up the point that companies could save gobs of money by swapping out AWS Python lambdas for Rust ones. While it raised the ire of many a Python Data Engineer, I thought it sounded like a great idea. At least it’s an excuse to […] The post AWS Lambdas – Python vs Rust.
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Python for Data Engineering
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?
How to learn data engineering
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?
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Rust for Data Engineering
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
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Rust for Data Engineering
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
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Isolated Python Environments using Docker
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.
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Reading and Processing JSON with Rust vs Python.
Confessions of a Data Guy
MAY 2, 2024
When it comes to debugging […] The post Reading and Processing JSON with Rust vs Python. appeared first on Confessions of a Data Guy. I’ve found I like being explicit and verbose when writing code, rather than being vague in what I’m doing most of the time.
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Modern Data Engineering
Towards Data Science
NOVEMBER 4, 2023
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. If you know a bit of Python it would be a trivial task.
Reflecting On The Past 6 Years Of Data Engineering
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.
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Brief History of Data Engineering
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.
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Modern Data Engineering with MAGE: Empowering Efficient Data Processing
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.
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How Data Engineering Teams Power Machine Learning With Feature Platforms
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?
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How to Become a Data Engineer in 2024?
Knowledge Hut
DECEMBER 26, 2023
Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. What is Data Science? What are the roles and responsibilities of a Data Engineer? And many more. And many more.
Data Engineering Weekly #163
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?
Useful classes for data engineers - Scala & Java
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.
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Python for Data Engineers
Towards Data Science
OCTOBER 21, 2023
Advanced ETL techniques for beginners Continue reading on Towards Data Science »
Python Upgrade Playbook
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.
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How To Build and Open Source PYPI Python Package
Confessions of a Data Guy
MARCH 25, 2024
Ever wondered how to build and end-to-end project for an Open Source Python Package that gets published to PYPI? link] The post How To Build and Open Source PYPI Python Package appeared first on Confessions of a Data Guy.
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Why I Love Rust, but Deploy Python
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.
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Python Scopes and Their Built-in Functions
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.
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Data Engineering Weekly #159
Data Engineering Weekly
FEBRUARY 18, 2024
Our hope is only with the amazing community of data practitioners who constantly support us. One thing I learned while writing Data Engineering Weekly is that persistence and consistency are the keys to success. link] Sponsored: Data modeling and exploration in Playground 2.0 Elevate your data skills!
Snowflake To Acquire Ponder, Boosting Python Capabilities In the Data Cloud
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.
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What are Data Access Object and Data Transfer Object in Python?
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.
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From Data Engineering to Prompt Engineering
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.
DuckDB vs Polars for Data Engineering.
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.
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What Is Apache Airflow – Data Engineering Consulting
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?
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Data Engineering Weekly #165
Data Engineering Weekly
MARCH 31, 2024
Python took over the data world, hands down, as the conversation around Polars vs. Pandas increased. The trend is a simple example of the rise of Rust in building data infrastructure. Pandas: What’s the Difference? But what is the difference between Polars and Pandas?
The Role of DevOps and CI/CD in Data Engineering
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.
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Scala Vs Python Vs R Vs Java - Which language is better for Spark & Why?
Knowledge Hut
MAY 3, 2024
Click here to learn more about sys.argv command line argument in Python. If you search top and highly effective programming languages for Big Data on Google, you will find the following top 4 programming languages: Java Scala Python R Java Java is one of the oldest languages of all 4 programming languages listed here.
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The Ultimate Data Engineering Chadstack. Running Rust inside Apache Airflow.
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.
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10 Skills to Ace Your Data Engineering Interviews
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.
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Tired of your Data Engineering Role?
Towards Data Science
AUGUST 19, 2023
How I made the transition to an analytics engineer Photo by Campaign Creators on Unsplash A few years ago, I was at a point where I was feeling unfulfilled in my career. I had been working in data engineering for three years and the initial excitement of starting in the world of tech had faded.
Delivering Modern Enterprise Data Engineering with Cloudera Data Engineering on Azure
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.
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Effective Pandas Patterns For Data Engineering
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?
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Maintain Your Data Engineers' Sanity By Embracing Automation
Data Engineering Podcast
JULY 10, 2022
Summary Building and maintaining reliable data assets is the prime directive for data engineers. While it is easy to say, it is endlessly complex to implement, requiring data professionals to be experts in a wide range of disparate topics while designing and implementing complex topologies of information workflows.
Data Engineering 100
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Top 12 Data Engineering Project Ideas [With Source Code]
Knowledge Hut
JUNE 26, 2023
Welcome to the world of data engineering, where the power of big data unfolds. If you're aspiring to be a data engineer and seeking to showcase your skills or gain hands-on experience, you've landed in the right spot. What are Data Engineering Projects?
Streamlit vs Gradio – A Guide to Building Dashboards in Python
Analytics Vidhya
FEBRUARY 20, 2023
This blog is a tutorial for building intuitive frontend interfaces for Machine Learning models using two popular open-source libraries […] The post Streamlit vs Gradio – A Guide to Building Dashboards in Python appeared first on Analytics Vidhya.
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Data Engineer Salary in Singapore [Updated for 2024]
Knowledge Hut
MARCH 5, 2024
Data engineers are highly in demand and short in supply. Data engineering is one of the hottest jobs that is trending across the globe. Singapore has a thriving technical market that has been on the lookout for data engineers. Who is Data Engineer and What Do They Do?
Stream Processing with Python, Kafka & Faust
Towards Data Science
FEBRUARY 18, 2024
How to Stream and Apply Real-Time Prediction Models on High-Throughput Time-Series Data Photo by JJ Ying on Unsplash Most of the stream processing libraries are not python friendly while the majority of machine learning and data mining libraries are python based. 1] Kleppmann, Martin. O’Reilly Media, Inc.”,
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Data Engineering: A Formula 1-inspired Guide for Beginners
Towards Data Science
DECEMBER 4, 2023
A Glossary with Use Cases for First-Timers in Data Engineering An happy Data Engineer at work Are you a data engineering rookie interested in knowing more about modern data infrastructures? In this guide Data Engineering meets Formula 1. I bet you are, this article is for you!
Managing Python dependencies for Spark workloads in Cloudera Data Engineering
Cloudera
APRIL 30, 2021
If the users are already familiar with Python then PySpark provides a python API for using Apache Spark. When users work with PySpark they often use existing python and/or custom Python packages in their program to extend and complement Apache Spark’s functionality. Install Python dependencies on all nodes in the Cluster.
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