data engineering

At Uber, data is at the heart of everything we do. From optimizing routes for drivers to predicting rider demand, our ability to process and analyze vast amounts of data…

In the fast world of ride-sharing, Uber stands out because of its large network, easy-to-use app, and smart dynamic pricing, known as "surge pricing." This system changes ride prices based…

Current State of Data EngineeringMarket Demand for Data EngineersSkills Required in 2024Challenges Facing Data EngineersConclusion As we look at the tech world in 2024, data engineering is a field full of…

What is a Data Warehouse?Data Warehouse ArchitectureData Warehouse Use CasesWhat is a Data Mart?Data Mart vs Data WarehouseData Mart ArchitectureData Mart Use CasesWhat is a Data Lake?Data Lake vs Data…

Analytics Engineering is a highly in-demand role that focuses on using data to make informed decisions. In this article, we will explore the evolution of analytics engineering, its importance in…

Table of ContentsWhat are LLMs?Challenges of Working with Large Language Models1. Data Requirements2. Computational Resources3. Expertise in Prompt Engineering4. Bias5. Explainability and TransparencyWhat is LLMOps?LLMOps lifecycleComparison between MLOps and LLMOpsConclusion…

As a data engineer, your job is to create powerful solutions for handling large amounts of data. You start by collecting data from different sources. Then, you clean, organize, and…

Windowing functions allow analysts to divide data into segments, enabling targeted analysis based on time intervals or event sequences. In this article, we will explore different types of windowing functions,…