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Tag: data engineering
What are the differences between ETL, ELT, and ELTP?
The differences between ETL, ELT, and ELTP methodologies highlight the evolution of data integration strategies over the past few decades.…
How Uber Harnesses the Power of Presto and Apache Kafka for Data Analysis
At Uber, data is at the heart of everything we do. From optimizing routes for drivers to predicting rider demand,…
How Uber Uses Kafka in Its Dynamic Pricing Model
In the fast world of ride-sharing, Uber stands out because of its large network, easy-to-use app, and smart dynamic pricing,…
Is It Still Smart to Learn Data Engineering in 2024?
As we look at the tech world in 2024, data engineering is a field full of opportunities and challenges. This…
Data Warehouse vs. Data Mart vs. Data Lake: Understanding Architecture and Use Cases
Data Warehouse, Data Mart, and Data Lake are three fundamental structures in the landscape of data management, each serving a…
What is an Analytics Engineer and What Do They Do?
Analytics Engineering is a highly in-demand role that focuses on using data to make informed decisions. In this article, we…
Understand LLMOps: A Comprehensive Guide
What are lLMs? LLMs, which stands for Large Language Models, are AI systems that have been trained on a huge…
Mastering Delta Lake: A Comprehensive Guide
As a data engineer, your job is to create powerful solutions for handling large amounts of data. You start by…
A Comprehensive Guide to Stream Analytics Windowing Functions
Windowing functions allow analysts to divide data into segments, enabling targeted analysis based on time intervals or event sequences. In…