article thumbnail

Top 20 Data Engineering Project Ideas [With Source Code]

Analytics Vidhya

Data engineering plays a pivotal role in the vast data ecosystem by collecting, transforming, and delivering data essential for analytics, reporting, and machine learning. Aspiring data engineers often seek real-world projects to gain hands-on experience and showcase their expertise.

article thumbnail

Top 20 Data Engineering Project Ideas with Source Code

Analytics Vidhya

Data engineering plays a pivotal role in the vast data ecosystem by collecting, transforming, and delivering data essential for analytics, reporting, and machine learning. Aspiring data engineers often seek real-world projects to gain hands-on experience and showcase their expertise.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How to test PySpark code with pytest

Start Data Engineering

Ensure the code’s logic is working as expected with tests 2.1. Set context, run code, check results & clean up 2.2.2. Introduction 2. Test types for data pipelines 2.2. pytest: A powerful Python library for testing 2.2.1. Tests are identified by their name 2.2.3. Use fixture to create fake data for testing 2.2.4.

Coding 208
article thumbnail

Python Essentials for Data Engineers

Start Data Engineering

Introduction Data is stored on disk and processed in memory Running the code Run on Codespaces Run on your laptop Using python REPL Python basics Python is used for extracting data from sources, transforming it, & loading it into a destination [Extract & Load] Read and write data to any system [Transform] Process data in Python or instruct (..)

Python 147
article thumbnail

New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

article thumbnail

An explosion in software engineers using AI coding tools?

The Pragmatic Engineer

GitHub surveyed 500 developers in the US for a sense of how they use AI coding tools. I examine the results and add context on how the survey was conducted.

article thumbnail

The “10x engineer:" 50 years ago and now

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. In every issue, I cover topics related to Big Tech and startups through the lens of engineering managers and senior engineers. ” They write the specification, code, tests it, and write the documentation. The copilot.

article thumbnail

Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.