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How Uber use Apache Kafka and Presto for Data Analysis

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, our ability to process and analyze vast amounts of data in real-time is crucial. In this blog, we’ll explore how Uber integrates Presto and Apache Kafka to handle real-time data analytics efficiently. Understanding Presto and …

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How Uber Uses Kafka in Its Dynamic Pricing Model

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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 on real-time demand and supply, making sure riders can get a car when they need one and drivers are paid fairly. At the core of …

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Is It Still Smart to Learn Data Engineering in 2024?

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As we look at the tech world in 2024, data engineering is a field full of opportunities and challenges. This area is key to understanding and using the huge amounts of data that drive innovation and operations in many industries. But as new technologies come up and changes happen faster, both experienced professionals and those …

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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 unique purpose and providing distinct advantages for handling vast amounts of data. This article explores the details of each system, outlining their architectures, primary use cases, and the scenarios in which each is most beneficial. …

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What is an Analytics Engineer and What Do They Do?

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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 data projects, and the key skills and tools needed for success in this field. The Birth of Analytics Engineering The role of an analytics engineer …

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Understand LLMOps: A Comprehensive Guide

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what are lLMs? LLMs, which stands for Large Language Models, are AI systems that have been trained on a huge amount of language data. This data can be as large as billions or trillions of words and sentences. These models are created for different language-related tasks, like extracting information and having conversations in natural language. …

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Mastering Delta Lake: A Comprehensive Guide

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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 combine the data to make it useful. Finally, you present the data in a way that other applications can easily use. Your goal is to …

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A Comprehensive Guide to Stream Analytics Windowing Functions

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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, namely tumbling windows, hopping windows, sliding windows, session windows, and Snapshot windows. Each of these functions offers unique capabilities and benefits for data analysis. We …

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Azure Synapse Analytics: A Step-by-Step Guide for Data Analytics Beginners

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In this article, we will discover Azure Synapse Analytics and explore how it addresses various business problems. We will take a closer look at the core capabilities offered by Azure Synapse Analytics and help you determine the scenarios in which it can be effectively utilized. Whether you are a data professional, a business analyst, or …

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Understand Azure Data Lake Storage Gen2

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Over the past two decades, many organizations have focused on creating data warehouses and business intelligence (BI) solutions using relational databases. However, these solutions often struggle to handle unstructured data effectively due to the high costs and complexity involved. To address this challenge, data lakes have emerged as a popular solution. A data lake is …

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